![case study google app engine d3vtech](https://www.d3vtech.com/wp-content/uploads/2024/01/logo.png)
- Google Cloud Services
- Generative AI Services
- DevOps Services
- Google Cloud Migration Services
- Google Cloud Disaster Recovery
- Cloud App Modernization
- Infrastructure Modernization
- Cloud Native App Development Services
- Cloud Assessment Services
- DevSecOps Solutions
- Cloud Cost Optimization
- Insight Articles
- Case Studies
- Data Center Migration
- GCP Data Center Modernization
- Cloud Migration Services
- Cloud Managed Services
- DevOps on Google Cloud Platform (GCP)
- GKE Managed Services
- Google Cloud Platform Managed Services
![](http://sektorel.online/777/templates/cheerup/res/banner1.gif)
Let’s Connect
Got project ideas? Let's make them happen.
![case study google app engine case study google app engine](https://www.d3vtech.com/wp-content/themes/d3vtech/assets/images/contact-menu.png)
- Insight articles
The Ultimate Guide To Google App Engine
App dev | feature highlight | google cloud.
![case study google app engine Dheeraj Panyam](https://www.d3vtech.com/wp-content/uploads/2024/04/Dheeraj-Panyam-100x100.png)
Dheeraj Panyam
We live in a world of viral marketing where popularity is swift and fleeting. A single feature article on a popular publication or a retweet by a celebrity can bring hundreds of thousands of visitors (and potential customers) to your app or website in a single day. But chances are, as a new company, you didn’t build your server to hold 100,000 visits in an hour and those potential customers are unlikely to come back the next day.
And even if you did anticipate going viral, the 100,000 visits will still be just for a day. The next day your servers will go underutilized and paying for server space you’re not using is equivalent to losing money.
So surely, there must be a better alternative?
There is (and don’t call me Shirley).
It’s called Google App Engine.
What is Google App Engine?
Google describes App Engine as a “fully managed serverless application platform with simple administration” but let’s use an example to understand the core idea behind App Engine better.
If you’ve been using the internet long enough, you’ll probably remember Blogger – it is a blog publishing and management platform that allows users to create their own blog (similar to WordPress). Blogger had millions of active readers and hundreds of thousands and users with blogs. As a blog owner, all you had to do was log in, write your blog, and click on Post and the platform would do the rest for you.
The beauty of it all was that you could make thousands of blog posts and you wouldn’t have to worry about server space. Because Blogger had a lot of computers to keep your blog running. But the number of computers was never fixed. Every day, the number of people online would change and so would the computing power required. But this didn’t bother you or Blogger itself. Why?
Because Blogger runs on the Google Cloud Platform which scales automatically meaning Blogger would always have enough computing power to serve your blog to your readers – irrespective of the number of people online.
The Google App Engine is an extension of the Cloud Platform that allows businesses to create web apps, mobile applications, and traditional websites without having to worry about the computers that run it – you don’t think about how many computers you need or where they need to be – it’s all fully managed for you.
Features of Google App Engine
Google App Engine is one of the most feature-rich managed cloud computing programming services. In this article, we’ll take a look at just some of the most popular features of GAE. However, there are still numerous other features, many of which are unique to GAE. You can visit the official GAE page to learn more.
Editor’s note: Many of the features of Google App Engine are what attracts businesses to choose cloud computing over traditional client-server architectures. Therefore, these features also double as the benefits of Google App Engine (hence no benefits section).
Platform-as-a-service
Google App Engine is a Platform-as-a-Service (PaaS). It means that GAE bundles together all of the required components (including OS, required runtime, libraries, etc), preinstalls and configures them for you. All that is left for you to do is write and upload your code.
Compatible with popular languages
Google App Engine currently supports 6 popular languages, PHP, and custom runtimes as well. Developers can write their program in any of the following languages and directly upload it to the cloud: Node.js, Java, Ruby, C#, Go, Python
![case study google app engine](https://www.d3vtech.com/wp-content/uploads/2024/04/languages-app-engine.webp)
Built-in diagnostics tools
For a data-driven company, reliable diagnostics are crucial. With the right tools, businesses can measure all the progress and changes in revenue, traffic, user behaviour, and connect them accurately with the changes made in the codebase, giving companies the ability to see which changes are working and the ones which aren’t. You can also use these tools to identify bugs through customer feedback or software crashes.
Traditionally, high-quality diagnostics tools would have to be purchased by third-party vendors but the Google Cloud Platform (GCP) has hundreds of additional services, including powerful analytics and monitoring tools (Cloud Monitoring, Cloud Logging, Cloud Debugger, Error Reporting, etc.)
Pay-per-use pricing
One of the most attractive benefits of the Google App Engine is pay-per-use pricing which means that companies only have to pay for the resources they use. This means there are no daily fixed costs if your audience only uses your services on weekends.
Highly scalable
Google App Engine is extremely scalable. You have access to the thousands of computers worth of computing power spread across the globe to avoid downtime and timeouts while ensuring low latency. And you only have this computing power when you need to avoid underutilized resources (leading to lower cloud spend).
A large services ecosystem
Google App Engine allows you to access the hundreds of additional services and tools that Google has created under its Cloud Platform (GCP) to develop some of the most advanced, optimized, and efficient conversion machines on the planet. Here are some of the areas covered by the products in the GCP ecosystem: Compute, Storage, Database, Networking, Operations, Data Analytics, AI and Machine Learning, API Management, Hybrid and multi-cloud, Migration, Security and Identity, Containers, Internet of Things (IoT), Management Tools.
![case study google app engine](https://www.d3vtech.com/wp-content/uploads/2024/04/app-engine-ecosystem.webp)
In total, there are hundreds of products spanning 18 product categories. These help you break away from traditional third-party vendors and have everything you need in one place.
Use Cases of Google App Engine (with Case Studies)
Translating potential value into realized value is one of the hardest parts of adopting any new technology. To improve the process of adopting Google App Engine and to give companies a sense of direction, here are some popular and powerful use cases of Google App Engine along with case studies to further drive implementation.
Infrastructure Modernization with Google App Engine
Infrastructure includes everything from your server hardware to the software that you’re running. Most legacy businesses are often running two to three outdated components in their infrastructure which increases IT spend while at the same time reducing productivity.
There are different strategies for modernization and cloud migration (like rehosting and replatforming) that come with different costs. However, there is one infrastructure modernization strategy that is often overlooked as it focuses on just the backends of the infrastructure – App Engine.
Companies with traditional client-server infrastructure can use App Engine and no longer worry about server management or configurations before deployments. Additionally, scalability is also not a concern anymore and businesses can grow their apps with the confidence that their infrastructure won’t fail or falter under the increasing load.
Case Study: Fabsystems Modernizes their Infrastructure to Optimize Costs, Flexibility and Scalability
Fabsystems is a SaaS solution meant to help steel companies accurately and efficiently estimate their steel requirements. However, their existing infrastructure was proving to a bottleneck in the way of a fast-growing company. To cut costs, increase performance, and reduce time-to-market, Fabsystems partnered with D3V to modernize its existing software and transition to the App Engine Standard. This move resulted in increasing performance by 50%, reducing cloud spend by 30%, and introducing updates faster and more reliably. Here is the full case study .
Application Development with Google App Engine
Applications (including both web apps and mobile apps) traditionally required a lot of preparation before the actual code could be deployed. However, the App Engine offers zero-config deployments which means your developers can get straight to writing code and pushing updates.
Additional services from the Google Cloud ecosystem offer an effective platform to manage all your data and assets so that you can create modern apps with next-generation upgradability. The App Engine is also far more suitable for remote development, compared to traditional monolithic architectures.
Bottom line, companies can use App Engine to develop powerful and modern applications that are faster, efficient, and more affordable.
Traffic splitting for A/B Testing and Limited Rollouts
Traffic splitting, incremental feature rollouts, and the ability to add/remove parts of features without affecting user experience is another popular use case of the App Engine. With the microservices architecture, developers have access to isolated containers that represent features of an application. These containers can be added, modified, and completely removed from the main code base with minimal coding.
Companies use this ability to route incoming traffic to different versions of the application (for A/B testing), do incremental feature rollouts to update faster, and isolate bugs without the risk of causing a system-wide crash.
Case Study: Travlytix created an intelligent customer data platform in six months
HTC required a platform that gave its users lag-free and uninterrupted access to data and creating a customer data platform with a small team and a short deadline. They made use of the App Engine along with Google’s other managed services to create a fully functional platform based on microservices that was resilient, stable, and lag-free. You can read the full case study here .
Scaling Through Optimization
There are two methods to scale. The first method is to add more computing power so more requests can be processed at the same time. The other method is to optimize the requests so less computing power is required and thus more requests can be processed. Most companies scale with the first option which is called vertical scaling. The optimization method is often overlooked as vertical scaling is considered faster and easier – but with time, optimization becomes necessary.
Applications can be optimized through various techniques including minimizing disk reads, caching computations, or more recent techniques like multi-tenant solutions that allow businesses to scale up while reducing costs.
Getting Started with Google App Engine
Getting an application up and running on Google App Engine is relatively straightforward and can be done in just five steps:
- Create a Google App Engine account
- Set up the Google App Engine SDK
- Write a simple Google App Engine application
- Test the application locally
- Deploy the Google App Engine application in the cloud
However, things start to become more complex as your application grows and you need to utilize additional managed services to create a more feature-rich application that is still clean, fast, and resilient. In such a case, working with certified cloud engineers is usually the most rewarding option.
D3V Tech is a cloud-based solutions provider with a team of certified cloud engineers, migrations officers, and developers that can make your vision into a fully-functional cloud-based application. Schedule a free consultation today and get started with a development roadmap.
Related articles
Become a white-label partner with us!
Attach Resume/CV*
Get the Reddit app
Subreddit for Google App Engine users & developers worldwide since 2008.
The Ultimate Guide to Google App Engine for 2020
We live in a world of viral marketing where popularity is swift and fleeting. A single feature article on a popular publication or a retweet by a celebrity can bring hundreds of thousands of visitors (and potential customers) to your app or website in a single day. But chances are, as a new company, you didn’t build your server to hold 100,000 visits in an hour and those potential customers are unlikely to come back the next day.
And even if you did anticipate going viral, the 100,000 visits will still be just for a day. The next day your servers will go underutilized and paying for server space you’re not using is equivalent to losing money.
So surely, there must be a better alternative?
It’s called Google App Engine.
What is Google App Engine?
Google describes App Engine as a “fully managed serverless application platform with simple administration” but let’s use an example to understand the core idea behind App Engine better.
If you’ve been using the internet long enough, you’ll probably remember Blogger - it is a blog publishing and management platform that allows users to create their own blog (similar to WordPress). Blogger had millions of active readers and hundreds of thousands and users with blogs. As a blog owner, all you had to do was log in, write your blog, and click on Post and the platform would do the rest for you.
The beauty of it all was that you could make thousands of blog posts and you wouldn’t have to worry about server space. Because Blogger had a lot of computers to keep your blog running. But the number of computers was never fixed. Every day, the number of people online would change and so would the computing power required. But this didn’t bother you or Blogger itself. Why?
Because Blogger runs on the Google Cloud Platform which scales automatically meaning Blogger would always have enough computing power to serve your blog to your readers - irrespective of the number of people online.
The Google App Engine is an extension of the Cloud Platform that allows businesses to create web apps, mobile applications, and traditional websites without having to worry about the computers that run it - you don’t think about how many computers you need or where they need to be - it’s all fully managed for you.
Features of Google App Engine
Google App Engine is one of the most feature-rich managed cloud computing programming services. In this article, we’ll take a look at just some of the most popular features of GAE. However, there are still numerous other features, many of which are unique to GAE. You can visit the official GAE page to learn more.
Editor’s note: Many of the features of Google App Engine are what attracts businesses to choose cloud computing over traditional client-server architectures. Therefore, these features also double as the benefits of Google App Engine (hence no benefits section).
Platform-as-a-service
Google App Engine is a Platform-as-a-Service (PaaS). It means that GAE bundles together all of the required components (including OS, required runtime, libraries, etc), preinstalls and configures them for you. All that is left for you to do is write and upload your code.
Compatible with popular languages
Google App Engine currently supports 6 popular languages, PHP, and custom runtimes as well. Developers can write their program in any of the following languages and directly upload it to the cloud: Node.js, Java, Ruby, C#, Go, Python
Built-in diagnostics tools
For a data-driven company, reliable diagnostics are crucial. With the right tools, businesses can measure all the progress and changes in revenue, traffic, user behaviour, and connect them accurately with the changes made in the codebase, giving companies the ability to see which changes are working and the ones which aren’t. You can also use these tools to identify bugs through customer feedback or software crashes.
Traditionally, high-quality diagnostics tools would have to be purchased by third-party vendors but the Google Cloud Platform (GCP) has hundreds of additional services, including powerful analytics and monitoring tools (Cloud Monitoring, Cloud Logging, Cloud Debugger, Error Reporting, etc.)
Pay-per-use pricing
One of the most attractive benefits of the Google App Engine is pay-per-use pricing which means that companies only have to pay for the resources they use. This means there are no daily fixed costs if your audience only uses your services on weekends.
Highly scalable
Google App Engine is extremely scalable. You have access to the thousands of computers worth of computing power spread across the globe to avoid downtime and timeouts while ensuring low latency. And you only have this computing power when you need to avoid underutilized resources (leading to lower cloud spend).
A large services ecosystem
Google App Engine allows you to access the hundreds of additional services and tools that Google has created under its Cloud Platform (GCP) to develop some of the most advanced, optimized, and efficient conversion machines on the planet. Here are some of the areas covered by the products in the GCP ecosystem: Compute, Storage, Database, Networking, Operations, Data Analytics, AI and Machine Learning, API Management, Hybrid and multi-cloud, Migration, Security and Identity, Containers, Internet of Things (IoT), Management Tools.
In total, there are hundreds of products spanning 18 product categories. These help you break away from traditional third-party vendors and have everything you need in one place.
Use Cases of Google App Engine (with Case Studies)
Translating potential value into realized value is one of the hardest parts of adopting any new technology. To improve the process of adopting Google App Engine and to give companies a sense of direction, here are some popular and powerful use cases of Google App Engine along with case studies to further drive implementation.
Infrastructure Modernization with Google App Engine
Infrastructure includes everything from your server hardware to the software that you’re running. Most legacy businesses are often running two to three outdated components in their infrastructure which increases IT spend while at the same time reducing productivity.
There are different strategies for modernization and cloud migration (like rehosting and replatforming ) that come with different costs. However, there is one infrastructure modernization strategy that is often overlooked as it focuses on just the backends of the infrastructure - App Engine.
Companies with traditional client-server infrastructure can use App Engine and no longer worry about server management or configurations before deployments. Additionally, scalability is also not a concern anymore and businesses can grow their apps with the confidence that their infrastructure won’t fail or falter under the increasing load.
Case Study: Fabsystems Modernizes their Infrastructure to Optimize Costs, Flexibility and Scalability
Fabsystems is a SaaS solution meant to help steel companies accurately and efficiently estimate their steel requirements. However, their existing infrastructure was proving to a bottleneck in the way of a fast-growing company. To cut costs, increase performance, and reduce time-to-market, Fabsystems partnered with D3V to modernize its existing software and transition to the App Engine Standard. This move resulted in increasing performance by 50%, reducing cloud spend by 30%, and introducing updates faster and more reliably. Here is the full case study .
Application Development with Google App Engine
Applications (including both web apps and mobile apps) traditionally required a lot of preparation before the actual code could be deployed. However, the App Engine offers zero-config deployments which means your developers can get straight to writing code and pushing updates.
Additional services from the Google Cloud ecosystem offer an effective platform to manage all your data and assets so that you can create modern apps with next-generation upgradability. The App Engine is also far more suitable for remote development, compared to traditional monolithic architectures.
Bottom line, companies can use App Engine to develop powerful and modern applications that are faster, efficient, and more affordable.
Traffic splitting for A/B Testing and Limited Rollouts
Traffic splitting, incremental feature rollouts, and the ability to add/remove parts of features without affecting user experience is another popular use case of the App Engine. With the microservices architecture, developers have access to isolated containers that represent features of an application. These containers can be added, modified, and completely removed from the main code base with minimal coding.
Companies use this ability to route incoming traffic to different versions of the application (for A/B testing), do incremental feature rollouts to update faster, and isolate bugs without the risk of causing a system-wide crash.
Case Study: Travlytix created an intelligent customer data platform in six months
HTC required a platform that gave its users lag-free and uninterrupted access to data and creating a customer data platform with a small team and a short deadline. They made use of the App Engine along with Google’s other managed services to create a fully functional platform based on microservices that was resilient, stable, and lag-free. You can read the full case study here.
Scaling Through Optimization
There are two methods to scale. The first method is to add more computing power so more requests can be processed at the same time. The other method is to optimize the requests so less computing power is required and thus more requests can be processed. Most companies scale with the first option which is called vertical scaling. The optimization method is often overlooked as vertical scaling is considered faster and easier - but with time, optimization becomes necessary.
Applications can be optimized through various techniques including minimizing disk reads, caching computations, or more recent techniques like multi-tenant solutions that allow businesses to scale up while reducing costs.
Getting Started with Google App Engine
Getting an application up and running on Google App Engine is relatively straightforward and can be done in just five steps:
Create a Google App Engine account
Set up the Google App Engine SDK
Write a simple Google App Engine application
Test the application locally
Deploy the Google App Engine application in the cloud
However, things start to become more complex as your application grows and you need to utilize additional managed services to create a more feature-rich application that is still clean, fast, and resilient. In such a case, working with certified cloud engineers is usually the most rewarding option.
D3V Tech is a cloud-based solutions provider with a team of certified cloud engineers, migrations officers, and developers that can make your vision into a fully-functional cloud-based application. Schedule a free consultation today and get started with a development roadmap.
By continuing, you agree to our User Agreement and acknowledge that you understand the Privacy Policy .
Enter the 6-digit code from your authenticator app
You’ve set up two-factor authentication for this account.
Enter a 6-digit backup code
Create your username and password.
Reddit is anonymous, so your username is what you’ll go by here. Choose wisely—because once you get a name, you can’t change it.
Reset your password
Enter your email address or username and we’ll send you a link to reset your password
Check your inbox
An email with a link to reset your password was sent to the email address associated with your account
Choose a Reddit account to continue
Programming Google App Engine
Research areas.
Software Engineering
Meet the teams driving innovation
Our teams advance the state of the art through research, systems engineering, and collaboration across Google.
![case study google app engine Teams](https://storage.googleapis.com/gweb-research2023-media/images/Teams.original.jpg)
Navigation Menu
Search code, repositories, users, issues, pull requests..., provide feedback.
We read every piece of feedback, and take your input very seriously.
Saved searches
Use saved searches to filter your results more quickly.
To see all available qualifiers, see our documentation .
google-app-engine
Here are 302 public repositories matching this topic..., coto / gae-boilerplate.
Google App Engine Boilerplate
- Updated Jan 2, 2024
google-github-actions / deploy-appengine
A GitHub Action that deploys source code to Google App Engine.
- Updated Aug 6, 2024
PhilippeBoisney / NoBullshit
A sample project entirely written in Kotlin. Backend/Frontend with Ktor and Android app.
- Updated May 12, 2019
jimmylee / next-postgres-sequelize
[OUTDATED] React 16.8.4 + NextJS 8.0.3 + Emotion + Sequelize 5/Postgres + Passport Local Auth + Google App Engine or Heroku Deployment
- Updated Jan 9, 2024
googlemaps / property-finder
A turnkey solution for a fictitious real estate business
- Updated Sep 24, 2020
sitatec / Taluxi-Open-Source
Open source uber-like apps (passenger/driver) build with Flutter
- Updated Jun 16, 2024
kdabir / glide
Create awesome apps on Google App Engine in a snap
- Updated Jan 31, 2019
irazasyed / dns-zone-files
⛅️ DNS Zone Files ready to import on CloudFlare for easy configurations of common configs. Files are in BIND Format.
- Updated Nov 14, 2023
udaylunawat / Automatic-License-Plate-Recognition
Source code of ALPR (Automatic License Plate Recognition System) 🔥
- Updated Jan 23, 2024
- Jupyter Notebook
dtinth / dark-facebook
[UNMAINTAINED] A dark theme for Facebook. Available as a Stylish user skin and a custom theme in Social Fixer for Facebook.
- Updated Dec 12, 2016
gcpug / docker-appengine-go
https://github.com/orgs/gcpug/packages/container/package/appengine-go
- Updated Feb 28, 2023
googlecodelabs / cloud-nebulous-serverless
This repo is for the codelabs (free, online, self-paced tutorials) showing developers how they can deploy the same app locally *and* to all three fully-managed serverless compute platforms from Google Cloud w/just minor config changes.
- Updated Jan 11, 2023
googlemaps / nyc-subway-station-locator
NYC Subway Station Locator Solution
- Updated Jan 6, 2021
googlecodelabs / migrate-python2-appengine
This repo is for the codelabs (free, online, self-paced tutorials) showing developers how to migrate their Google App Engine applications from the Python 2 runtime to the 2nd generation Python3 App Engine or Cloud Run serverless container services. The repo for the code samples in the documentation are elsewhere: https://github.com/GoogleCloudPl…
- Updated Jul 30, 2024
rchakode / hugo-mx-gateway
📭 📜 Contact/demo form handler for static websites. Deploy in minutes on Google App Engine, Kubernetes, or Docker. Tested with Hugo static site generator.
- Updated Sep 27, 2022
gaelyk / gradle-gaelyk-plugin
Gradle plugin that provides tasks for managing Gaelyk projects
- Updated Dec 2, 2019
zxyle / publish-gae-action
publish application to GAE in your GitHub workflow.
- Updated Aug 18, 2022
adi5krish / Real-Time-Face-Swapping-Tool-using-Deepfake-Algorithm
Implemented a cloud-based real-time face-swapping tool to swap faces in a video. Used CNN auto-encoder based deepfake algorithm and Google Cloud Platform (GCP) based services - Google App Engine (GAE), Google AI Platform for efficient deployment on cloud
- Updated Dec 8, 2022
mdh266 / NYCBuildingEnergyUse
Creating Regression Models Of Building Emissions On Google Cloud
- Updated May 1, 2023
ramuta / gae-2nd-gen-examples
Examples of Python web apps running on the 2nd generation Google App Engine (GAE)
- Updated Nov 11, 2019
Improve this page
Add a description, image, and links to the google-app-engine topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the google-app-engine topic, visit your repo's landing page and select "manage topics."
- Deutschland
- Asia, Australia & New Zealand
- Europe, Middle East & Africa
- United States & Canada
- Latinoamérica
Learn how other brands have approached common marketing challenges.
![](http://sektorel.online/777/templates/cheerup/res/banner1.gif)
Share this page
More case studies, you're visiting our united states & canada website..
Based on your location, we recommend you check out this version of the page instead:
Google Cloud Fundamentals: Getting Started with App Engine
Checkpoints.
Deploy the Hello World application to App Engine
- Set up your lab environment
- Task 1. Initialize App Engine
- Task 2. Run Hello World application locally
- Task 3. Deploy and run Hello World on App Engine
- Task 4. Disable the application
- Congratulations!
- End your lab
In this lab, you create and deploy a simple App Engine application using a virtual environment in the Google Cloud Shell.
In this lab, you learn how to perform the following tasks:
- Initialize App Engine.
- Preview an App Engine application running locally in Cloud Shell.
- Deploy an App Engine application, so that others can reach it.
- Disable an App Engine application, when you no longer want it to be visible.
For each lab, you get a new Google Cloud project and set of resources for a fixed time at no cost.
Sign in to Qwiklabs using an incognito window .
Note the lab's access time (for example, 1:15:00 ), and make sure you can finish within that time. There is no pause feature. You can restart if needed, but you have to start at the beginning.
When ready, click Start lab .
Note your lab credentials ( Username and Password ). You will use them to sign in to the Google Cloud Console.
Click Open Google Console .
Click Use another account and copy/paste credentials for this lab into the prompts. If you use other credentials, you'll receive errors or incur charges .
Accept the terms and skip the recovery resource page.
Activate Google Cloud Shell
Google Cloud Shell is a virtual machine that is loaded with development tools. It offers a persistent 5GB home directory and runs on the Google Cloud.
Google Cloud Shell provides command-line access to your Google Cloud resources.
In Cloud console, on the top right toolbar, click the Open Cloud Shell button.
Click Continue .
It takes a few moments to provision and connect to the environment. When you are connected, you are already authenticated, and the project is set to your PROJECT_ID . For example:
gcloud is the command-line tool for Google Cloud. It comes pre-installed on Cloud Shell and supports tab-completion.
- You can list the active account name with this command:
Example output:
- You can list the project ID with this command:
Initialize your App Engine app with your project and choose its region:
Clone the source code repository for a sample application in the hello_world directory:
Navigate to the source directory:
In this task, you run the Hello World application in a local, virtual environment in Cloud Shell.
Ensure that you are at the Cloud Shell command prompt.
Create a Dockerfile
Edit the Dockerfile [hint: nano Dockerfile ] to contain the following content.
Build a container image to run a Python virtual environment.
Run the application:
To end the test, return to Cloud Shell and press Ctrl+C to abort the deployed service.
To deploy your application to the App Engine Standard environment:
Deploy your Hello World application.
This app deploy command uses the app.yaml file to identify project configuration.
Launch your browser to view the app at http://YOUR_PROJECT_ID.appspot.com
Copy and paste the URL into a new browser window.
Congratulations! You created your first application using App Engine.
Click Check my progress to verify the objective. Deploy the Hello World application to App Engine
App Engine offers no option to Undeploy an application. After an application is deployed, it remains deployed, although you could instead replace the application with a simple page that says something like "not in service."
However, you can disable the application, which causes it to no longer be accessible to users.
Click Disable application .
Read the dialog message. Enter the App ID and click DISABLE .
If you refresh the browser window you used to view the application site, you'll get a 404 error.
You created your first application using App Engine!
When you have completed your lab, click End Lab . Google Cloud Skills Boost removes the resources you’ve used and cleans the account for you.
You will be given an opportunity to rate the lab experience. Select the applicable number of stars, type a comment, and then click Submit .
The number of stars indicates the following:
- 1 star = Very dissatisfied
- 2 stars = Dissatisfied
- 3 stars = Neutral
- 4 stars = Satisfied
- 5 stars = Very satisfied
You can close the dialog box if you don't want to provide feedback.
For feedback, suggestions, or corrections, please use the Support tab.
Copyright 2022 Google LLC All rights reserved. Google and the Google logo are trademarks of Google LLC. All other company and product names may be trademarks of the respective companies with which they are associated.
![case study google app engine case study google app engine](https://cdn.qwiklabs.com/assets/lab_enablement_notification/disable_lab-47cff1f6bc3610f58767251ff93c2f99cf4f9040.png)
This content is not currently available
We will notify you via email, when it becomes available
![case study google app engine case study google app engine](https://cdn.qwiklabs.com/assets/lab_enablement_notification/notifcation_subscribed-2b4f9e51439e1a107488ab58a6e13c3c62ef8855.png)
We will contact you via email, if it becomes available
In this lab, you create a simple App Engine application using the Cloud Shell local development environment, and then deploy it to App Engine.
Duration: 1m setup · 20m access · 20m completion
AWS Region: []
Levels: introductory
Permalink: https://www.cloudskillsboost.google/catalog_lab/1157
![case study google app engine case study google app engine](https://www.theregister.com/design_picker/ae01b183a707a7db8cd5f2c947715ed56d335138/graphics/std/user_icon_white_extents_16x16.png)
Special Features
Vendor voice.
This article is more than 1 year old
App Engine: Google's deepest secrets as a service
The software scales. but will the google rulebook.
Google will never open source its back end. You'll never run the Google File System or Google MapReduce or Google BigTable on your own servers. Except on the rarest of occasions , the company won't even discuss the famously distributed software that underpins its sweeping collection of web services.
But if you like, you can still run your own applications atop GFS and MapReduce and BigTable. With Google App Engine – the "platform cloud" the company floated in the spring of 2008 – anyone can hoist code onto Google's live infrastructure. App Engine aims to share the company's distributed computing expertise by way of an online service.
"Google has built up this infrastructure – a lot of distributed software, internal processes – for building-out and scaling applications. We don't have the luxury of slowly ramping something up: when we launch something, we have to get it out there and scale it very, very quickly," Google App Engine product manager Sean Lynch recently told The Register .
"We decided we could take a lot of this infrastructure and expose it in a way that would let third-party developers use it – leverage the knowledge and techniques we have built up – to basically simplify the entire process of building their own web apps: building them, managing them once they're up there, and scaling them once they take off."
For some coders, it's an appealing proposition, not only because the Google back end has a reputation few others can match – a reputation fueled in part by the company's reluctance to discuss particulars – but also because App Engine completely removes the need to run your own infrastructure. As a platform cloud, App Engine goes several steps beyond an "infrastructure cloud" à la Amazon EC2 . It doesn't give you raw virtual machines. It gives you APIs, and once you code to these APIs, the service takes care of the rest.
"When you're one guy trying to run a startup, you have to do absolutely everything. I've done everything from managing machines to writing code to marketing," says Jeff Schnitzer, a former senior engineer in EA's online games division who's now using App Engine to build an online-dating application. "That's one of the reasons why I've been drawn to App Engine. It eliminates entire classes of job descriptions, from sys admin to DBA."
The rub is that in order to benefit from this automation, you have to play by a strict Google rulebook. All applications must be built with Python, Java, or one of a handful of other supported languages, including Google's new-age Go programming language , which was just added to the list . And even within these languages, there are limits on the libraries and frameworks you can use, the way you handle data, and the duration of your processes.
Google is loosening some restrictions as the service matures. But inherently, App Engine requires a change of mindset. "You have to throw away a lot of what you know and basically write for Google's model: small instances, faster start, completely new data storage. It's a completely different beast," says Matt Cooper, a developer and entrepreneur who just recently started using the service. And because Google jealously guards the secrets of its infrastructure, anyone who builds an application atop App Engine will face additional hurdles if they ever decide to move the app elsewhere.
All of which makes Google App Engine a particularly fascinating case study. Much like in other markets , Google is promising you an added payoff if you seriously change the way you've done things in the past – and if you put a hefty amount of trust on its servers. Many have already embraced the proposition – App Engine serves more than a billion and a half page views a day, and 100,000 coders access the online console each month – but it's yet to be seen whether the service has a future in the mainstream.
![App Engine Logo App Engine Logo](https://regmedia.co.uk/2011/06/06/app_engine_logo.png)
Google App Engine
We know that Google has a knack for scaling web applications. "Google employees are very good about not talking about their proprietary [infrastructure], but they do give you qualitative feel for it," says Dwight Merriman, cofounder of MongoDB, the distributed database that seeks to solve many of the same scaling issues as the Google back end. What we don't know is whether the Google ethos can scale into the enterprise.
Google believes it can. Lynch calls App Engine a "long-term business", and later this year, the service will exit a three-year beta period, brandishing new enterprise-centric terms of service. Proof of the service's viability, the company believes, lies in the track record of the Google infrastructure. "This is a service that's a tremendous differentiator for us, " says Lynch. "We can see it being valuable for other people to use it as well."
Narrower topics
- Azure Stack
- Google Cloud Platform
- Google Nest
- Privacy Sandbox
- Tavis Ormandy
Broader topics
- Cloud Computing
- MongoDB Inc.
- Search Engine
Send us news
Other stories you might like
Google paying to be default search on phones is totally against antitrust law, judge rules, google is a monopoly. the fix isn't obvious, ftc urges judge to spank google over android app market monopoly, simplifying ai deployment for secure workloads.
Google brings more Gemini AI features to Android, saves the best for Pixel 9
Can't get minecraft, mongodb cloud, others to work today blame that azure outage, google raps iran's apt42 for raining down spear-phishing attacks, former youtube ceo, susan wojcicki, 56, succumbs to cancer, all y'all love ai, right get ready for gemini in nest cameras, google assistant, google's ex-ceo u-turns after saying staff 'going home early' killed winning, google-commissioned report claims early adopters already enjoying fruits of gen-ai labor, need to move 1.2 exabytes across the world every day just effingo.
![case study google app engine icon](https://www.theregister.com/design_picker/d518b499f8a6e2c65d4d8c49aca8299d54b03012/graphics/icon/vulture_white.png)
- Advertise with us
Our Websites
- The Next Platform
- Blocks and Files
Your Privacy
- Cookies Policy
- Privacy Policy
- Ts & Cs
![case study google app engine Situation Publishing](https://www.theregister.com/design_picker/d2e337b97204af4aa34dda04c4e5d56d954b216f/graphics/std/sitpublogo_2022.png)
Copyright. All rights reserved © 1998–2024
![case study google app engine no-js](https://www.theregister.com/Design/graphics/std/transparent_pixel.png)
- DevOps Lifecycle
- DevOps Roadmap
- Docker Tutorial
- Kubernetes Tutorials
- Amazon Web Services [AWS] Tutorial
- AZURE Tutorials
- GCP Tutorials
- Docker Cheat sheet
- Kubernetes cheat sheet
- AWS interview questions
- Docker Interview Questions
- Ansible Interview Questions
- Jenkins Interview Questions
What is Google App Engine (GAE)?
Pre-requisite:- Google Cloud Platform
A scalable runtime environment, Google App Engine is mostly used to run Web applications. These dynamic scales as demand change over time because of Google’s vast computing infrastructure. Because it offers a secure execution environment in addition to a number of services, App Engine makes it easier to develop scalable and high-performance Web apps. Google’s applications will scale up and down in response to shifting demand. Croon tasks, communications, scalable data stores, work queues, and in-memory caching are some of these services.
The App Engine SDK facilitates the testing and professionalization of applications by emulating the production runtime environment and allowing developers to design and test applications on their own PCs. When an application is finished being produced, developers can quickly migrate it to App Engine, put in place quotas to control the cost that is generated, and make the programmer available to everyone. Python, Java, and Go are among the languages that are currently supported.
The development and hosting platform Google App Engine, which powers anything from web programming for huge enterprises to mobile apps, uses the same infrastructure as Google’s large-scale internet services. It is a fully managed PaaS (platform as a service) cloud computing platform that uses in-built services to run your apps. You can start creating almost immediately after receiving the software development kit (SDK). You may immediately access the Google app developer’s manual once you’ve chosen the language you wish to use to build your app.
After creating a Cloud account, you may Start Building your App
- Using the Go template/HTML package
- Python-based webapp2 with Jinja2
- PHP and Cloud SQL
- using Java’s Maven
The app engine runs the programmers on various servers while “sandboxing” them. The app engine allows the program to use more resources in order to handle increased demands. The app engine powers programs like Snapchat, Rovio, and Khan Academy.
Features of App Engine
Runtimes and languages.
To create an application for an app engine, you can use Go, Java, PHP, or Python. You can develop and test an app locally using the SDK’s deployment toolkit. Each language’s SDK and nun time are unique. Your program is run in a:
- Java Run Time Environment version 7
- Python Run Time environment version 2.7
- PHP runtime’s PHP 5.4 environment
- Go runtime 1.2 environment
Generally Usable Features
These are protected by the service-level agreement and depreciation policy of the app engine. The implementation of such a feature is often stable, and any changes made to it are backward-compatible. These include communications, process management, computing, data storage, retrieval, and search, as well as app configuration and management. Features like the HRD migration tool, Google Cloud SQL, logs, datastore, dedicated Memcached, blob store, Memcached, and search are included in the categories of data storage, retrieval, and search.
Features in Preview
In a later iteration of the app engine, these functions will undoubtedly be made broadly accessible. However, because they are in the preview, their implementation may change in ways that are backward-incompatible. Sockets, MapReduce, and the Google Cloud Storage Client Library are a few of them.
Experimental Features
These might or might not be made broadly accessible in the next app engine updates. They might be changed in ways that are irreconcilable with the past. The “trusted tester” features, however, are only accessible to a limited user base and require registration in order to utilize them. The experimental features include Prospective Search, Page Speed, OpenID, Restore/Backup/Datastore Admin, Task Queue Tagging, MapReduce, and Task Queue REST API. App metrics analytics, datastore admin/backup/restore, task queue tagging, MapReduce, task queue REST API, OAuth, prospective search, OpenID, and Page Speed are some of the experimental features.
Third-Party Services
As Google provides documentation and helper libraries to expand the capabilities of the app engine platform, your app can perform tasks that are not built into the core product you are familiar with as app engine. To do this, Google collaborates with other organizations. Along with the helper libraries, the partners frequently provide exclusive deals to app engine users.
Advantages of Google App Engine
The Google App Engine has a lot of benefits that can help you advance your app ideas. This comprises:
- Infrastructure for Security: The Internet infrastructure that Google uses is arguably the safest in the entire world. Since the application data and code are hosted on extremely secure servers, there has rarely been any kind of illegal access to date.
- Faster Time to Market: For every organization, getting a product or service to market quickly is crucial. When it comes to quickly releasing the product, encouraging the development and maintenance of an app is essential. A firm can grow swiftly with Google Cloud App Engine’s assistance.
- Quick to Start: You don’t need to spend a lot of time prototyping or deploying the app to users because there is no hardware or product to buy and maintain.
- Easy to Use: The tools that you need to create, test, launch, and update the applications are included in Google App Engine (GAE).
- Rich set of APIs & Services: A number of built-in APIs and services in Google App Engine enable developers to create strong, feature-rich apps.
- Scalability: This is one of the deciding variables for the success of any software. When using the Google app engine to construct apps, you may access technologies like GFS, Big Table, and others that Google uses to build its own apps.
- Performance and Reliability: Among international brands, Google ranks among the top ones. Therefore, you must bear that in mind while talking about performance and reliability.
- Cost Savings: To administer your servers, you don’t need to employ engineers or even do it yourself. The money you save might be put toward developing other areas of your company.
- Platform Independence: Since the app engine platform only has a few dependencies, you can easily relocate all of your data to another environment.
Please Login to comment...
Similar reads.
- Google Cloud Platform
- Cloud-Computing
Improve your Coding Skills with Practice
What kind of Experience do you want to share?
![case study google app engine case study google app engine](https://www.theknowledgeacademy.com/_public/images/home/halloween.png)
- Onsite training
3,000,000+ delegates
15,000+ clients
1,000+ locations
- KnowledgePass
- Log a ticket
01344203999 Available 24/7
![case study google app engine case study google app engine](https://www.theknowledgeacademy.com/_public/images/home/trust-stars.png)
Google App Engine in Cloud Computing
Explore the world of Google App Engine in cloud computing. Uncover the fundamentals with What is Google App Engine? and gain insights into its architecture. Delve into the core features of Google App Engine and discover the compelling reasons to choose it in your cloud computing journey. Read more to get started!
![case study google app engine stars](https://www.theknowledgeacademy.com/_public/images/blog/stars.png)
Exclusive 40% OFF
Training Outcomes Within Your Budget!
We ensure quality, budget-alignment, and timely delivery by our expert instructors.
Share this Resource
- Networking with Google Cloud Platform
- Cloud Computing Training
- Architecting Infrastructure with Google Cloud Platform Training
- Google Cloud Digital Leader Training
- Google Cloud Platform Fundamentals
![case study google app engine course](https://www.theknowledgeacademy.com/_public/images/blog/course.png)
In the endless collection of online services, people are gifted with countless choices. Among them, the Google App Engine stands as a distinct service preferred by countless people. It helps in simplifying the digital journey for many, enabling seamless online experiences and reducing tech-related stress. In this blog, you will learn in detail about the Google App Engine in Cloud Computing, its key features, benefits and uses along with some useful tips.
Table of Contents
1) What is Google App Engine?
2) How is the Google App Engine used?
3) The architecture of Google App Engine
4) Core features of Google App Engine
5) What are the benefits and challenges of using Google App Engine?
6) Why choose Google App Engine in Cloud Computing?
7) Conclusion
What is Google App Engine?
Google App Engine is a Cloud Computing service offered by Google. It enables users to create, host, and expand their applications using Google's solid and systematic infrastructure. Google App Engine accommodates a variety of programming languages, such as Python, Java, Go, PHP and several others, granting developers the freedom to select their preferred language.
A standout feature of Google App Engine is its wholly managed environment. This means it takes care of all the background tech tasks, letting developers direct all their attention to just the application they're building. Its numerous benefits like auto-scaling and uninterrupted deployment, make it a top pick for businesses aiming to enhance their Cloud operations.
Google App Engine has revolutionised resource management for e-commerce platforms during sales. Traditionally, manual resource allocation was costly and time-consuming. Google App Engine allows automatic scaling to intuitively handle traffic surges, ensuring uninterrupted service. As traffic recedes, it scales down, optimising costs and ensuring efficient operation throughout.
![case study google app engine Google Cloud Training](https://www.theknowledgeacademy.com/_files/images/Google_Cloud_Training%282%29.png)
How is the Google App Engine used?
Google App Engine is a serverless platform, which hosts, and allows developers to build and deploy web applications. Developers or users can create an account in Google App Engine to set up a Software Development Kit (SDK), to write the source code of applications easily.
It is also used to build scalable back end mobile applications. These are then used to adapt workloads as needed. Google App Engine can also be used for application testing where users can route traffic to different application versions.
The architecture of Google App Engine
![case study google app engine Google App Engine architecture in cloud computing](https://www.theknowledgeacademy.com/_files/images/Google_App_Engine_architecture_in_cloud_computing.png)
1) Datastore: Serving as the central data management system in Cloud Computing, Google App Engine's Datastore is a NoSQL database renowned for its scalability. What sets it apart is its dynamic nature, adapting in real-time to the demands of the application. Whether it's a minor data retrieval or a massive data influx, the datastore scales on-the-fly, ensuring that data remains consistently accessible and safeguarded against potential threats.
2) Task queues: In any application, there exist tasks that don’t necessitate immediate user feedback. Google App Engine's Task queues are designed to manage such background operations. By queuing these tasks, they're executed asynchronously, optimising application performance and ensuring users aren't bogged down with processing delays.
3) Memcache : As a rapid-access in-memory caching system, Memcache plays a pivotal role in enhancing data retrieval speeds. Especially beneficial for frequently queried data, it acts as a buffer, reducing the datastore's workload. This not only ensures quicker response times but also contributes to the longevity and efficiency of the main Datastore.
4) Blobstore: In today's digital age, applications often deal with voluminous data, be it high-definition images, videos, or other large files. The Blobstore is Google App Engine's dedicated solution for such requirements. By efficiently managing and storing these large objects, it ensures that the primary datastore isn’t overwhelmed, maintaining a harmonious data ecosystem.
5) Automatic scaling: One of Google App Engine’s crowning features, Automatic Scaling, epitomises proactive resource management. By continually monitoring application traffic and user requests, it dynamically scales resources. This ensures optimal performance even during unexpected traffic surges, eliminating the need for manual adjustments and guaranteeing a consistently smooth user experience.
6) Integrated services: Google App Engine isn't an isolated entity but a cog in the vast machinery of Google Cloud Computing services. Its ability to seamlessly mesh with other services, from Data Analytics platforms to state-of-the-art Machine Learning tools, transforms it from a mere hosting platform to a comprehensive, integrated Cloud solution. This interoperability enhances the capabilities of applications hosted on Google App Engine, giving Developers a richer toolset to work with.
Interested in learning more about Google Cloud Platform? Get started with our Google Cloud Platform Fundamentals Course !
Core features of Google App Engine in Cloud Computing
![case study google app engine Features of Google App Engine in Cloud Computing](https://www.theknowledgeacademy.com/_files/images/Features_of_Google_App_Engine_in_Cloud_Computing.png)
Multiple language support
Google A pp Engine is adept at embracing a variety of programming languages. Whether you're fluent in Java, Python, PHP, Go, or numerous others, Google App Engine has got you covered. This multifaceted support ensures that developers aren't constrained by language limitations. Instead, they can pick and choose based on their comfort and expertise, making the development process smooth and intuitive.
Automated management
Looking deeper into Google App Engine's automated management reveals a world where manual intervention is minimised. Google App Engine takes the reins when it comes to managing applications. From maintaining the core infrastructure to adeptly routing traffic, overseeing software patches, and ensuring a robust failover system, this tool does it all. For Developers and businesses, this translates to a significant reduction in operational intricacies and the hours usually spent on infrastructure oversight.
Scalability
Google App Engine has a one of a kind scalability feature. Imagine an application that intelligently scales up or down in response to the ebb and flow of user traffic, ensuring consistent performance without manual tweaks. Google App Engine's automatic scaling discerns the needs of the application based on traffic and usage patterns, empowering it to handle even unexpected surges in demand effortlessly.
Integrated environment
The synergy between various Google Cloud Computing services is palpable when you use Google App Engine. A harmonious integration with platforms like Cloud Datastore, Google Cloud Storage , and Google Workspace paves the way for a holistic development environment. This not only streamlines the development process but also offers a plethora of tools and services at one's fingertips. Such an integrated approach fosters efficiency, making it simpler to both develop and sustain applications over time.
Interested in learning how networks work? Try our Networking With Google Cloud Platform Course !
What are the benefits and challenges of using Google App Engine?
In this section, we are going to discuss about the several benefits and challenges of using Google App Engine. These are as follows:
Benefits of using Google App Engine
Here are some benefits of using Google App Engine:
a) Google App Engine is easy to set up. It can also be easily managed which makes it more attractive to its users. Its users can write codes without having the need to consider help from core IT professionals. It also allows its users to build back-end infrastructure. The built-in APIs, in Google App Engine allows users to build several different types of applications.
b) It also has the access to all the application logs which facilitates debugging and monitoring in production.
c) The pay-per-use pricing of Google App Engine makes it cost-effective and therefore users flock towards it. It has several resources which the users can use to monitor their resources and keep track of their bills in the dashboard.
d) It can automatically scale as the workloads fluctuate for the users. It can automatically add and remove application resources as per the demand.
e) It has the ability to specify a range of Internet Protocol addresses (IP) which are acceptable. Moreover, it also has the bandwidth to allow users to prepare a specific list of networks and resources and prepare blocklist for certain IP addresses.
Challenges of using Google App Engine
Here are some challenges of using Google App Engine:
a) Because of its back-end infrastructure it is sometimes difficult for users to fix their problems on their own. They have to depend on Google to fix those problems, ehich can sometimes be time-consuming.
b) Google App Engine has performance limits. This means that all CPU-intensive operations can be little bit expensive and slow, when using Google App Engine. The reason for this limitation can be that one physical server may serve numerous separate and related app engine users at the same time, who need to share the CPU.
c) GAE only provide limited read-only access to Google App Engine filesystem to Developers.
d) It limits Java apps. In Google App Engine Java apps are not able to create new threads and only certain section of Java runtime environment can be implemented.
Why Choose Google App Engine?
Google App Engine in Cloud Computing possesses a list of benefits over other services, which make it a standard choice for enterprises. Some of these benefits are as follows:
Cost-effective
One of the most compelling reasons to opt for Google App Engine is its cost-efficiency. Unlike traditional hosting, where overheads can rack up quickly, this tool's fully managed nature means there's no need to invest in system administration. In this Cloud Computing model, you pay strictly for the resources you consume. This allows businesses, from startups to large enterprises, to scale their operations without the dread of unexpected costs. The adaptability of adjusting your usage according to the demand ensures that you're always in control of your expenses.
Productivity boost
Time is of the essence in the Cloud Computing domain. It is attuned to this reality. By taking on the responsibility of infrastructure-related tasks, it liberates Developers to zero in on what truly matters: crafting exceptional code and refining their application. Without the distractions of backend management, Developers experience a tangible uptick in their productivity, ensuring that projects are delivered faster, and innovations reach the market promptly.
Nowadays cyber threats are rife, thus security isn't just a feature,it's a necessity. The Google App Engine stands tall on the foundation of Google's globally recognised secure infrastructure. But it doesn't just rest there; it continually fortifies its defences. Google App Engine uses its built-in security protocols and a commitment to meet the strictest compliance standards to ensure that your applications are ensconced in a digital fortress, safeguarded against potential threats.
Versatility
Google App Engine’sversatility shines through in its ability to support several projects. Whether you're aiming to launch a minimalist web application or architecting a labyrinthine system teeming with features, it is up to the task. From serving static web pages to managing backend operations for mobile applications bustling with high traffic, it proves time and again that it's a multifaceted Cloud Computing solution equipped to handle the diverse needs of the digital age. Unleash the capabilities of cloud computing with our Google Cloud Training today!
The prominence of Google App Engine in Cloud Computing cannot be understated. It serves as a beacon of advanced design and user-friendliness, catering to both Developers and enterprises seamlessly. It stands out as the go-to choice for those seeking a dependable and secure Cloud infrastructure. When one aligns with Google App Engine, they're not only embracing the pinnacle of Cloud technology but also ensuring their applications consistently deliver top-tier performance.
Try our Architecting Infrastructure With Google Cloud Platform Training today!
Frequently Asked Questions
Google App Engine is a serverless platform that is used for developing and hosting web applications at scale. It also provides Developers with an access to Google’s scalable hosting and provides framework to them to develop apps.
Google App Engine allows Developers and users to build and run custom applications on Google servers. This App Engine applications help them to create, maintain, and scale the traffic and data storage.
Google App Engine in Cloud Computing is a Paas, which is also known as Platform as a Service model. This means that it provides users and Developers alike a platform to develop and deploy applications on the Google Cloud platform.
The Knowledge Academy takes global learning to new heights, offering over 30,000 online courses across 490+ locations in 220 countries. This expansive reach ensures accessibility and convenience for learners worldwide.
Alongside our diverse Online Course Catalogue , encompassing 17 major categories, we go the extra mile by providing a plethora of free educational Online Resources like News updates, blogs, videos, webinars, and interview questions. Tailoring learning experiences further, professionals can maximise value with customisable Course Bundles of TKA .
The Knowledge Academy’s Knowledge Pass , a prepaid voucher, adds another layer of flexibility, allowing course bookings over a 12-month period. Join us on a journey where education knows no bounds.
Upcoming Cloud Computing Resources Batches & Dates
Fri 11th Oct 2024
Get A Quote
WHO WILL BE FUNDING THE COURSE?
My employer
By submitting your details you agree to be contacted in order to respond to your enquiry
- Business Analysis
- Lean Six Sigma Certification
Share this course
Our biggest summer sale.
![case study google app engine red-star](https://www.theknowledgeacademy.com/_public/images/home/red-star.png)
We cannot process your enquiry without contacting you, please tick to confirm your consent to us for contacting you about your enquiry.
By submitting your details you agree to be contacted in order to respond to your enquiry.
We may not have the course you’re looking for. If you enquire or give us a call on 01344203999 and speak to our training experts, we may still be able to help with your training requirements.
Or select from our popular topics
- ITIL® Certification
- Scrum Certification
- ISO 9001 Certification
- Change Management Certification
- Microsoft Azure Certification
- Microsoft Excel Courses
- Explore more courses
Press esc to close
Fill out your contact details below and our training experts will be in touch.
Fill out your contact details below
Thank you for your enquiry!
One of our training experts will be in touch shortly to go over your training requirements.
Back to Course Information
Fill out your contact details below so we can get in touch with you regarding your training requirements.
* WHO WILL BE FUNDING THE COURSE?
Preferred Contact Method
No preference
Back to course information
Fill out your training details below
Fill out your training details below so we have a better idea of what your training requirements are.
HOW MANY DELEGATES NEED TRAINING?
HOW DO YOU WANT THE COURSE DELIVERED?
Online Instructor-led
Online Self-paced
WHEN WOULD YOU LIKE TO TAKE THIS COURSE?
Next 2 - 4 months
WHAT IS YOUR REASON FOR ENQUIRING?
Looking for some information
Looking for a discount
I want to book but have questions
One of our training experts will be in touch shortly to go overy your training requirements.
Your privacy & cookies!
Like many websites we use cookies. We care about your data and experience, so to give you the best possible experience using our site, we store a very limited amount of your data. Continuing to use this site or clicking “Accept & close” means that you agree to our use of cookies. Learn more about our privacy policy and cookie policy cookie policy .
We use cookies that are essential for our site to work. Please visit our cookie policy for more information. To accept all cookies click 'Accept & close'.
A Comparative Study on Google App Engine Amazon Web Services and Microsoft Windows Azure
International Journal of Computer Engineering and Technology, 10(1), 2019, pp. 54-60
7 Pages Posted: 12 Mar 2020
Research Scholar, Shri Jagdishprasad Jhabarmal Tibrewala University, Rajasthan, India
Dr. M. Laxmaiah
Professor, Department of CSE and III Cell Head, CMR Engineering College, Hyderabad, Telangana, India
Dr. Yogesh Kumar Sharma
Shri JJT University
Date Written: 2019
In today Internet has grown to be persistent in daily livelihood furthermore Cloud computing is a rising model where computing resources offered over the Internet as scalable, on-demand (Web) services. An association deploy internet service needs to use enormous amounts of money on infrastructure needs to serve feasible users which is not a problem for large venture but when it comes to Small and Medium Enterprises or Enterprises affordability becomes a huge factor with the huge infrastructure come problems like machines failure, hard drive noises, software bugs, etc. Here might be a big problem for such a community. Cloud Computing is the ultimate solution to this problem. Rather than buying, installing and operating its own systems, an organization can rely on a cloud provider to do this for them. Cloud Computing key market leaders like Google, Amazon and Microsoft etc, these providers introduce new operating and business models that allow customers to pay for the resources they completely use, instead of making tremendous upfront investments. The purpose of this paper is to analyze most popular platforms, The Google App Engine, Amazon Web Services, and Windows Azure Platform.
Keywords: Cloud Computing, Google App Engine, Amazon web services, Microsoft windows Azure
Suggested Citation: Suggested Citation
Mahesh K (Contact Author)
Research scholar, shri jagdishprasad jhabarmal tibrewala university, rajasthan, india ( email ).
Jhunjhunu-Churu Road, Vidyanagari P.O. Chudela Jhunjhunu, CT Rajasthan 333001 India
Professor, Department of CSE and III Cell Head, CMR Engineering College, Hyderabad, Telangana, India ( email )
Hyderabad Telangana 501401 India
Shri JJT University ( email )
HOME PAGE: http://www.jjtu.ac.in
Do you have a job opening that you would like to promote on SSRN?
Paper statistics, related ejournals, web technology ejournal.
Subscribe to this fee journal for more curated articles on this topic
Electrical Engineering eJournal
Libraries & information technology ejournal.
![case study google app engine](https://computas.com/content/uploads/2020/10/AkerSolutions_DigitalTwin_30x30cm-e1540902030764-1024x778-1-e1602657707945.jpg)
Google case study: Engineering the future with Google Cloud Platform
Aker Solutions used Google App Engine and Google Cloud Storage to build a set of digital engineering tools and a collaboration room to leverage its institutional expertise and revolutionize its field development methods.
Google Cloud results:
- Unlocks, accesses and links data from all previous field development projects providing high value insight for future plans
- Drives efficiency with a suite of products automating and supporting all aspects of concept selection, searchable database of reusable methods, assets and data.
- Speeds up the decision-making process with fully featured digital simulations of oil and gas field components as well as economical model for NPV, risk and reliability.
- Improves collaboration with a single platform for multiple teams working on complex projects.
Aker Solutions traces its history back to 1841, when it was founded as the Aker Mechanical Workshop in Oslo, Norway. After making its name in shipbuilding and maritime work, Aker Solutions is now one of the world’s top energy service providers employing more than 14,000 people across 20 countries. Lending its expertise to oil, gas, and wind projects in some of the most challenging environments, the company prides itself on delivering safe, sustainable solutions that benefit customers around the world. Following the oil price crash that began in 2014, the energy industry as a whole had to face a new reality of lowered profits and reduced capital expenditure. By 2016, Aker Solutions saw this squeezing of resources as a perfect opportunity to revolutionize its oil and gas field development methods and digitize its entire process. To do that, it turned to Google Cloud Platform (GCP).
We needed to get the investment cost down significantly for developing new fields. We saw a digital solution, based on Google Cloud Platform, as the best way of achieving that as well as stepping up our sustainability. Are Føllesdal Tjønn, Senior VP of Software Engineering, Aker Solutions
Building the field development process of the future
Traditionally, every field development project for an energy company is built from the ground up, independent of other projects that have gone before it with new teams, new materials, and new equipment. While this provides a bespoke precision to each project, it is also expensive, time-consuming and encourages inefficiency. By digitizing its field development process, Aker Solutions wanted to build up a bank of institutional expertise that could be accessed quickly and effectively and minimize the time and cost of field development.
Initially placed under the working title “Project Push” – the idea being that new field projects could be developed “at the push of a button” – Aker Solutions focused its efforts on a number of areas. Firstly, the company wanted a searchable database of digital information for each field development project. This would ensure that successful methods and techniques would live well beyond the life of any single project and could inform projects months and years down the line.
A second pillar of the Push Project was the concept of the “Digital Twin”. The idea was to have a digital representation of field assets that goes far beyond a simple 3D illustration. Aker Solutions wanted to measure and simulate every possible attribute of each field development project, all built within a rich and consistent data structure that would underpin several different applications. “Ideally,” says Are, “we would be able to simulate all asset operations before we physically start building.” This would help Aker Solutions and its customers make the right decisions much earlier in the process, saving significantly on time and money.
GCP for a scalable, flexible, high performance solution
In mid-2016, with the core objectives of searchability, reusability and expedited decision-making, Aker Solutions, together with customer AkerBP, began looking for ways to implement the Push Project. At the time, the company’s IT infrastructure was based on heavy duty enterprise solutions running off on-premises servers. While this had been perfectly adequate for its operations until then, Aker Solutions decided that only a scalable, cloud-based solution could fully deliver the ambitious results it had in mind for the digitization project.
For the latter half of 2016, Aker Solutions tested a number of solutions on the leading cloud providers, teaming up with cloud specialists Computas to help it navigate the cloud-based environment. “Having a local partner in Norway was key for us,” says Are, “and we were also very impressed with Computas’ expertise in agile methodologies like Scrum project management.” After taking the time to assess Aker Solutions’ requirements, Computas recommended Google Cloud Platform as the core of the new solution. “GCP is a platform that allows you to do things in a very quick way. You can get going without any hassle or time wasting,” says Rune Hagbartsen, Executive Director at Computas. “We were able to deliver solutions very quickly and the support form Google Norway was great.”
Another key advantage of GCP for Aker Solutions, was the ability to integrate with the company’s existing enterprise platforms and engineering solutions. Rather than replacing what was already working, Computas and Aker Solutions began building a new infrastructure for Project Push, leveraging the existing stack of the core business.
The use of Google Cloud Platform was an enabler for a deep change in the way software was developed. The Push Project started as a traditional IT procurement initiative but quickly evolved into a strong partnership between Aker Solutions, Aker BP and Computas. This partnership mindset allowed for a true agile development methodology supported by the fundamental flexibility of the Google Cloud Platform. With agility came the possibility to exploit opportunities, and the Push Project evolved from system development to the development of a platform housing the products required by the digitization process.
For the concept of the Digital Twin, Computas and Aker Solutions developed a family of applications built on Google App Engine: “That gave us the ability to open and deploy images very quickly, which helped us a lot,” says Filip Van Laenen, Computas Chief Engineer. The data pipeline was handled with Google Cloud Dataflow and the messaging requirements with Google Cloud Pub/Sub. The scaling ability of Google Cloud Dataflow is a game changer when you need to ingest and process millions of data entities and documents in order to make them searchable. The different products in the Push portfolio take advantage of Google Cloud SQL or Google Cloud Datastore depending on their specific requirements.
Computas developed a way of analyzing usage data using Google BigQuery , taking data from Google Stackdriver Monitoring. The team used Google Cloud Functions at various places to “glue” functionality together and to integrate with the existing infrastructure. Meanwhile, Google Cloud Storage was used to hold the millions of documents and static assets from new and older field projects. The ability to use a fully managed, elastic storage makes a real difference for an application platform using a lot of documents.
The ability to use REST APIs with Google Cloud Storage was very important for us. It’s a small thing but we saved a lot of work using REST APIs to upload files instead of implementing them ourselves. Filip Van Laenen, Chief Engineer, Computas
Greater efficiency, higher quality outputs, improved collaboration
Two years since it first conceived the idea, Aker Solutions is part way through its massive digitization journey but has already seen remarkable results. “Overall”, says Are, “the new search and Engineering Assistant applications have already resulted in efficiency gains of around 20%. A typical topside project normally takes around a million hours, so cutting 200,000 hours is a very significant saving both for us and our customers,” he says. A product manager is now able to provide an estimate of an industry asset’s weight, such as an offshore platform, in just a few hours, down from days and weeks if they had used the traditional method. Are says that the impact of the changes made can be much bigger than the 20%. He likens the change to shifting from manually washing the dishes to using a dishwasher. “You can do so much more”.
When you improve your efficiency, you can work on the quality of the output. Whether that’s doing more iterations, analysis or looking for new solutions. We’ve not only saved time for our customers, but also improved the quality and safety aspects of our field development projects. Are Føllesdal Tjønn, Senior VP of Software Engineering, Aker Solutions
As well as the efficiency gains, the Push Project has led to teams working more closely with each other. “When the information is all there on a single platform like the Engineering Assistant app, then it helps to keep everyone on the same page,” says Are. With everything on GCP, the company has been able to improve its security procedures for sensitive information. “Before people would use data by copying it from spreadsheets and take it away on their laptops,” says Filip. “Now, it’s held and secured in a database.” More qualitatively, with its emphasis on recording, searching and reusing data, Aker Solutions has brought a new-found objectivity to its field development methods.
“It’s helped us take the subjectivity out of our decision making, which helps us get to the right decisions earlier,” says Are.
Aker Solutions’ journey with GCP and Computas is far from over. With its oil and gas field development projects digitized, Aker Solutions is now preparing to bring its operations teams into the process. The company is currently exploring the suite of machine learning tools from GCP as a way of improving the indexing of its documents, to make searching for the relevant information even quicker than before. In addition, the company is checking how to use Google’s Vision API to help collate, categorize and analyze the millions of PDF documents that it deals with from partners and subcontractors for each project, saving time and minimizing the risk of errors from manual tagging. AutoML Vision is evaluated as a way to let the domain experts directly influence the machine learning required in the process. With the digitization process well underway, automation looks to be the next objective.
“The more we automate, the more we can see to automate,” says Are. “We’re excited about what we’ve achieved so far, but we also see a lot of potential in the journey ahead with GCP.”
Want to know more?
Please fill out our contact form
![case study google app engine](https://computas.com/content/uploads/2020/10/kontakt_bilde3x_flag.png)
Related content
![case study google app engine](https://computas.com/content/uploads/2024/03/elywhere-768x237.jpg)
How Elywhere gained control over their value chain
The enormous growth of Elywhere necessitated the company to streamline project management and collaboration. With the help of the workflow solution monday.com and guidance from Computas, they gained full control over the entire value chain.
![case study google app engine](https://computas.com/content/uploads/2024/03/d902d400-2dfd-4807-be24-2fc7f9d64999-768x240.jpg)
Analyzed over 30,000 conversations for karriereveiledning.no
During a year, approximately 16,000 individuals contact karriereveiledning.no with questions about education and employment. How can one automate the extraction of structured information from over 30,000 anonymized conversations? This is one of the challenges Computas' consultants have been working on in collaboration with the Directorate for Higher Education and Competence.
![case study google app engine](https://computas.com/content/uploads/2023/12/protector_topp-1-768x233.jpg)
Effective and secure migration to Google Cloud for Protector Insurance
Protector Insurance chose Google Cloud as the platform for its IT infrastructure, systems, and applications. With guidance and support from Google experts at Computas, the migration process went seamlessly
How Google's huge defeat in antitrust case could change how you search the internet
![case study google app engine case study google app engine](https://www.gannett-cdn.com/authoring/authoring-images/2024/07/19/USAT/74468026007-uastgraphicsonly-internetoutagetopper-topper.png?crop=3554,1997,x149,y3)
In the most significant legal ruling against a major technology giant in more than two decades, a federal judge says Google illegally monopolized online search and advertising by paying companies like Apple and Samsung billions of dollars a year to install Google as the default search engine on smartphones and web browsers.
By monopolizing search queries on smartphones and browsers, Google abused its dominance in the search market, throttling competition and harming consumers, U.S. District Judge Amit P. Mehta said in his 286-page decision. Google owes much of its more than $300 billion in annual revenue to search ads.
“ Google is a monopolist , and it has acted as one to maintain its monopoly,” Mehta wrote.
The massive win for the Department of Justice could fundamentally reshape how Google does business . It also could change how we use the internet and search for information.
The DOJ filed antitrust charges during the final weeks of the Trump administration, making good on Donald Trump’s pledge to challenge the runaway power of Big Tech. That mission continued during the Biden administration, which has been aggressive in pursuing antitrust cases.
“This victory against Google is an historic win for the American people,” Attorney General Merrick Garland said in a statement. “No company – no matter how large or influential – is above the law.”
The case is the most significant victory for the DOJ in a monopoly case in decades, said Notre Dame Law School professor Roger Alford, who served in the DOJ’s antitrust division. “Not since Microsoft lost in the 1990s have we seen a case of this magnitude.”
Google said it would appeal the decision. “This decision recognizes that Google offers the best search engine, but concludes that we shouldn’t be allowed to make it easily available,” Kent Walker, president of global affairs, said in a statement.
Shares in Google's parent company Alphabet slipped following the judge's ruling. They closed down nearly 5% Monday, part of a broader tech stock selloff .
If upheld, the decision will be a “major boost” for other antitrust cases pending against Google as well as other major tech players like Amazon, Apple and Meta, said Loyola University Chicago School of Law professor Spencer Weber Waller.
Monday’s ruling did not include remedies. Remedies will be decided separately, likely after an appeal. One remedy could see Google losing its ability to strike device deals that have helped make its search engine so ubiquitous.
Devising the right remedy is critical to restoring competition to the marketplace, Waller said.
“There are no fines or monetary penalties in these types of cases, but the court will have to decide whether Google should be broken up in some way. More likely, it will order Google to eliminate the exclusive contracts and licensing restrictions that have reinforced its monopoly position for years,” he said.
Google has argued that its distribution deals are common in the business world. It pays for its search engine to be on phones the way a food manufacturer pays to promote its products at eye level in a grocery store aisle.
The way Google sees it, if you don’t like Google, you can switch the default search engine on your device. But people don’t switch, Google says, because they prefer Google.
If Google was not the default search engine on so many devices, would consumers still use it for 90% of web searches?
During the 10-week trial, Microsoft CEO Satya Nadella testified that Google’s unchallenged dominance created a “Google web.”
“You get up in the morning, you brush your teeth and you search on Google,” Nadella said at one point in his testimony. “Everybody talks about the open web, but there is really the Google web.”
Nadella has expressed concern that Microsoft’s disadvantage would increase as artificial intelligence becomes a major component of search.
In a research note Monday, Baird Equity Research senior analyst Colin Sebastian pointed to a range of tactics Google's arch-competitor Microsoft has used to grow the market share of its Bing search engine over the years, from paying users to use its search engine to embedding it in Office.
“People clearly prefer Google to Bing,” Sebastian said.
Chamber of Progress CEO Adam Kovacevich said Monday's ruling hands Microsoft an unearned boost.
“The biggest winner from today's ruling isn't consumers or little tech, it’s Microsoft,” Kovacevich said in a statement. “Microsoft has underinvested in search for decades, but today’s ruling opens the door to a court mandate of default deals for Bing. That’s a slap in the face to consumers who chose Google because they think it’s the best.”
- Do Not Sell My Personal Info
![case study google app engine Register For Free](https://www.searchenginejournal.com/wp-content/uploads/2024/08/top-desktop-1x-752.png)
- ⋅
Google Rolls Out August 2024 Core Update
Google's August 2024 core update targets low-value SEO content, promoting quality websites. Full rollout expected within a month.
- Google launched its August 2024 core update.
- The update aims to boost high-quality content and demote SEO-focused material.
- Full rollout may take up to one month to complete.
![case study google app engine](https://www.searchenginejournal.com/wp-content/uploads/2024/08/img_2024-08-15-111353-603.jpeg)
Google rolled out its August 2024 core update.
This latest algorithm change aims to boost high-quality content and demote low-value SEO-focused material in search results.
The update was announced on X and detailed on Google’s blog .
Today we released the August 2024 core update. It continues our work to improve the quality of our search results by showing more content that people find genuinely useful and less content that feels like it was made just to perform well on Search. https://t.co/T6Qt0JUoWt — Google Search Central (@googlesearchc) August 15, 2024
Key Details About The August Core Update
- Google core updates aim to show more content that people find genuinely helpful.
- Core updates target content created primarily to rank well in search results rather than provide value to users.
- Google states this update considers recent feedback from content creators and other stakeholders.
- The company reaffirms its commitment to showcasing high-quality content from diverse sources, including smaller, independent websites.
- The update aims to better reflect positive changes made by websites.
Extended Implementation Period
According to the Google Search Status dashboard , this core update’s full rollout may take up to one month to complete.
This gradual implementation is typical for major updates, allowing time for the changes to propagate across Google’s vast index.
Guidance For Webmasters
In conjunction with the core update, Google shared a link to its help documentation on core updates.
This guidance offers more detailed information for website owners and SEO professionals who may see changes in their search rankings following the update.
- How To Recover From A Google Update (A Checklist)
- Google’s John Mueller On Website Recovery After Core Updates
Industry Implications
Core updates often shake up SERPs across industries. Google doesn’t offer quick fixes for ranking drops but stresses creating quality , original content.
As the rollout progresses, SEOs and site owners should monitor their metrics and align content with Google’s focus on user value.
SEJ will provide ongoing analysis and expert takes as the August 2024 update’s effects unfold.
Related: Hit By The Core Update? 5 Factors To Consider
Updated Core Update Guidance
In conjunction with the August 2024 core update, Google has revised its guidance on core algorithm updates. The new document provides more actionable advice for website owners and SEO professionals affected by these updates.
Key changes in the revised guidance include:
- New sections on using Search Console to assess traffic drops and evaluate significant position changes.
- Advice on making content improvements, emphasizing substantive changes over quick fixes.
- Expectations for the time required to see ranking changes after implementing improvements.
- Removal of some explanatory content about the nature of core updates.
For a detailed breakdown of the changes in Google’s core update guidance, see our article: Google Revises Core Update Guidance: What’s Changed?
New: Unrelated Search Ranking Glitch
While the August 2024 core update continues to roll out, Google has confirmed a separate issue affecting search rankings. This glitch is unrelated to the core update.
Google has identified the root cause and is actively working on a fix. The company expects to provide an update within 12 hours. SEJ is covering this developing story with live updates.
Matt G. Southern, Senior News Writer, has been with Search Engine Journal since 2013. With a bachelor’s degree in communications, ...
![](http://sektorel.online/777/templates/cheerup/res/banner1.gif)
IMAGES
COMMENTS
Current is a financial technology company that offers a debit card and app made for teenagers. The app and card give teens hands-on learning with modern financial tools, and connects them with the people, brands, and experiences they value. Industries: Financial Services & Insurance. Location: United States. Products: Compute Engine, Kubernetes ...
with Google App Engine Case Study | Google App Engine At a Glance What they wanted to do • Replace an aging ERP system • Avoid installing and maintaining servers • Gain a robust, flexible platform that allows developers to easily make changes to the system What they did • Relied on Google App Engine to build the system quickly and easily
Use Cases of Google App Engine (with Case Studies) Translating potential value into realized value is one of the hardest parts of adopting any new technology. To improve the process of adopting Google App Engine and to give companies a sense of direction, here are some popular and powerful use cases of Google App Engine along with case studies ...
App Engine documentation. App Engine is a fully managed, serverless platform for developing and hosting web applications at scale. You can choose from several popular languages, libraries, and frameworks to develop your apps, and then let App Engine take care of provisioning servers and scaling your app instances based on demand.
Getting Started with Google App Engine. Getting an application up and running on Google App Engine is relatively straightforward and can be done in just five steps: Create a Google App Engine account. Set up the Google App Engine SDK. Write a simple Google App Engine application. Test the application locally.
Using App Engine requires 52 developers and DevOps personnel in Year 1, while a DIY PaaS solution requires a 60-person team. There is a 10% churn rate. The total cost to recruit and hire a new developer or DevOps professional is $75,000 per hire. New hires earn a fully burdened annual salary of $119,700.
Google App Engine is a cloud computing service unlike any other: it provides a simple model for building applications that scale automatically to accommodate millions of users. With Programming Google App Engine, you'll get expert practical guidance that will help you make the best use of this powerful platform. Google engineer Dan Sanderson ...
This repo is for the codelabs (free, online, self-paced tutorials) showing developers how to migrate their Google App Engine applications from the Python 2 runtime to the 2nd generation Python3 App Engine or Cloud Run serverless container services. The repo for the code samples in the documentation are elsewhere: https://github.com ...
Google's Official Digital Marketing Publication. Learn how other brands have approached common marketing challenges. ... Case Study. More Case Studies. Show More. Close. You're visiting our United States & Canada website. ... App & Mobile Data & Measurement Industries Search YouTube Future of Marketing Future of Marketing ...
In this lab, you create and deploy a simple App Engine application using a virtual environment in the Google Cloud Shell. Objectives. In this lab, you learn how to perform the following tasks: Initialize App Engine. Preview an App Engine application running locally in Cloud Shell. Deploy an App Engine application, so that others can reach it.
The motivation of this report, which is divided into two parts, is to understand these challenges. The first part gives a brief introduction and analysis of cloud computing. The second part focuses on Google's cloud computing platform and evaluates the implementation of a micro blogging site using Google's App Engine.
And because Google jealously guards the secrets of its infrastructure, anyone who builds an application atop App Engine will face additional hurdles if they ever decide to move the app elsewhere. All of which makes Google App Engine a particularly fascinating case study. Much like in other markets, Google is promising you an added payoff if you ...
The development and hosting platform Google App Engine, which powers anything from web programming for huge enterprises to mobile apps, uses the same infrastructure as Google's large-scale internet services. It is a fully managed PaaS (platform as a service) cloud computing platform that uses in-built services to run your apps.
The architecture of Google App Engine. Google App Engine's architecture in Cloud Computing is both scalable and robust, designed to cater to a diverse range of applications and services. Here's a concise breakdown of its structure below: 1) Datastore: Serving as the central data management system in Cloud Computing, Google App Engine's ...
Objectives: In this study, we evaluate Google App Engine from enterprise application development point of view. We analyzed the behavior and architecture of Google App Engine to evaluate its feasibility for enterprise application development and compared it with Amazon Elastic Compute 2 (Amazon cloud service).
The purpose of this paper is to analyze most popular platforms, The Google App Engine, Amazon Web Services, and Windows Azure Platform. ... Dr. M. and Sharma, Dr. Yogesh Kumar, A Comparative Study on Google App Engine Amazon Web Services and Microsoft Windows Azure (2019). International Journal of Computer Engineering and Technology ...
By bestfolios.com — a curation of 800+ designer portfolios, case studies, resumes and design resources. By Alex Lakas, user experience, interaction and visual designer for Google's SIM UX ...
Google case study: Engineering the future with Google Cloud Platform. Aker Solutions used Google App Engine and Google Cloud Storage to build a set of digital engineering tools and a collaboration room to leverage its institutional expertise and revolutionize its field development methods.
Case Studies (15 Lectures) Case study of Service model using Google App Engine, Microsoft Azure, Amazon EC2, Eucalyptus. UNIT-IV. Service Management in Cloud Computing (8 Lectures) Service Level Agreements (SLAs), Billing & Accounting, Comparing Scaling Hardware: Traditional vs. Cloud, Economics of scaling. Cloud Security (7 Lectures ...
Khan Academy is a 501 (c) (3) nonprofit organization with the mission of providing a free, world-class education for anyone, anywhere. Its free resources include practice questions, quizzes, videos, and articles. Offering preschool through early college learning on a range of academic subjects, Khan Academy has been translated into 36 languages ...
Case Study: Service Model using Google App Engine Google App Engine is a cloud computing platform that allows developers to build and host web applications on Google's. Continue reading. Discover more from: Bachelor of computer applications BCA. Bangalore University. 999+ Documents.
The way Google sees it, if you don't like Google, you can switch the default search engine on your device. But people don't switch, Google says, because they prefer Google.
Google has updated its guidance on core algorithm updates, providing more detailed recommendations for impacted websites. The revised document , published alongside the August core update rollout ...
Webinar B2B Leadership Series: Holistic Marketing Strategies That Drive Revenue [SaaS Case Study] Join Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell ...
Webinar B2B Leadership Series: Holistic Marketing Strategies That Drive Revenue [SaaS Case Study] Join Ryann Hogan, senior demand generation manager at CallRail, and our very own Heather Campbell ...
Google's August 2024 core update targets low-value SEO content, promoting quality websites. Full rollout expected within a month. Google launched its August 2024 core update. The update aims to ...
Case Study | Google App Engine At a Glance • Build an application for securing Google Apps data that would scale easily to accommodate user growth • Ensure a high level of security by keeping data within Google's infrastructure • Manage the app with minimal staff resources What they did • Chose Google App Engine to leverage Google's ...