case study on amazon ec2

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EC2 stands for Elastic Compute Cloud. EC2 is an on-demand computing service on the AWS cloud platform. Under computing, it includes all the services a computing device can offer to you along with the flexibility of a virtual environment. It also allows the user to configure their instances as per their requirements i.e. allocate the RAM, ROM, and storage according to the need of the current task. Even the user can dismantle the virtual device once its task is completed and it is no more required. For providing, all these scalable resources AWS charges some bill amount at the end of every month, the bill amount is entirely dependent on your usage. EC2 allows you to rent virtual computers. The provision of servers on AWS Cloud is one of the easiest ways in EC2. EC2 has resizable capacity. EC2 offers security, reliability, high performance, and cost-effective infrastructure so as to meet the demanding business needs.

AWS EC2 (Elastic Compute Cloud)

Amazon Web Service EC2 is a web service which is provided by the AWS cloud which is secure, resizable, and scalable. These virtual machines are pre-configured with the operating systems and some of the required software. Instead of managing the infrastructure AWS will do that so you can just launch and terminate the EC2 instance whenever you want. You can scale up and down the EC2 instance depending on the incoming traffic. The other advantage of AWS EC2 is that you need to pay only for how much you use it is like the pay-as-you-go model.

What is Amazon EC2 (Elastic Compute Cloud)?

Amazon Web service offers EC2 which is a short form of Elastic Compute Cloud (ECC) it is a cloud computing service offered by the Cloud Service Provider AWS. You can deploy your applications in EC2 servers without any worrying about the underlying infrastructure. You configure the EC2-Instance in a very secure manner by using the VPC, Subnets, and Security groups. You can scale the configuration of the EC2 instance you have configured based on the demand of the application by attaching the autoscaling group to the EC2 instance. You can scale up and scale down the instance based on the incoming traffic of the application.

The following figure shows the EC2-Instance which is deployed in VPC (Virtual Private Cloud).

Use Cases of Amazon EC2 (Elastic Compute Cloud)

• Deploying Application: In the AWS EC2 instance, you can deploy your application like .jar,.war, or .ear application without maintaining the underlying infrastructure.
• Scaling Application: Once you deployed your web application in the EC2 instance know you can scale your application based upon the demand you are having by scaling the AWS EC2-Instance.
• Deploying The ML Models: You can train and deploy your ML models in the EC2-instance because it offers up to 400 Gbps), and storage services purpose-built to optimize the price performance for ML projects.
• Hybrid Cloud Environment: You can deploy your web application in EC2-Instance and you can connect to the database which is deployed in the on-premises servers.
• Cost-Effective: Amazon EC2-instance is cost-effective so you can deploy your gaming application in the Amazon EC2-Instances

AWS EC2 Instance Types

Different Amazon EC2 instance types are designed for certain activities. Consider the unique requirements of your workloads and applications when choosing an instance type. This might include needs for computing, memory, or storage.

The AWS EC2 Instance Types are as follows:

• General Purpose Instances
• Compute Optimized Instances
• Memory-Optimized Instances
• Storage Optimized Instances
• Accelerated Computing Instances

Features of AWS EC2 (Elastic Compute Cloud)

Aws ec2 functionality.

EC2 provides its users with a true virtual computing platform, where they can use various operations and even launch another EC2 instance from this virtually created environment. This will increase the security of the virtual devices. Not only creating but also EC2 allows us to customize our environment as per our requirements, at any point of time during the life span of the virtual machine. Amazon EC2 itself comes with a set of default AMI(Amazon Machine Image) options supporting various operating systems along with some pre-configured resources like RAM, ROM, storage, etc. Besides these AMI options, we can also create an AMI curated with a combination of default and user-defined configurations. And for future purposes, we can store this user-defined AMI, so that next time, the user won’t have to re-configure a new AMI(Amazon Machine Image) from scratch. Rather than this whole process, the user can simply use the older reference while creating a new EC2 machine.

AWS EC2 Operating Systems

Amazon EC2 includes a wide range of operating systems to choose from while selecting your AMI. Not only are these selected options, but users are also even given the privilege to upload their own operating systems and opt for that while selecting AMI during launching an EC2 instance. Currently, AWS has the following most preferred set of operating systems available on the EC2 console.

• Amazon Linux
• Windows Server
• Ubuntu Server
• Red Hat Linux

AWS EC2 Software

Amazon is single-handedly ruling the cloud computing market, because of the variety of options available on EC2 for its users. It allows its users to choose from various software present to run on their EC2 machines. This whole service is allocated to AWS Marketplace on the AWS platform. Numerous software like SAP, LAMP, Drupal, etc are available on AWS to use.

AWS EC2 Scalability and Reliability

EC2 provides us the facility to scale up or scale down as per the needs. All dynamic scenarios can be easily tackled by EC2 with the help of this feature. And because of the flexibility of volumes and snapshots, it is highly reliable for its users. Due to the scalable nature of the machine, many organizations like Flipkart, and Amazon rely on these days whenever humongous traffic occurs on their portals.

Pricing of AWS EC2 (Elastic Compute Cloud) Instance

The pricing of AWS EC2-instance is mainly going to depend upon the type of instance you are going to choose. The following are the pricing charges on some of the EC2-Instances.

• On-Demand Instances: The On-Demand instance is like a pay-as-you-go model where you have to pay only for the time you are going to use if the instance is stopped then the billing for that instance will be stopped when it was in the running state then you are going to be charged. The billing will be done based on the time EC2-Instance is running.
• Reserved Instances: Reversed Instance is like you are going to give the commitment to the AWS by buying the instance for one year or more than one year by the requirement to your organization. Because you are giving one year of Commitment to the AWS they will discount the price on that instance.
• Spot Instances: You have to bid the instances and who will win the bid they are going to get the instance for use but you can’t save the data which is used in this type of instance.

AWS EC2 (Elastic Compute Cloud) Instance Types

Different Amazon EC2 instance types are designed for certain activities. Consider the unique requirements of your workloads and applications when choosing an instance type. This might include needs for  computing,  memory, or  storage . To know more about AWS EC2-Instance types refer to Amazon EC2–Instance Types.

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Get Started With Amazon EC2 (Elastic Compute Cloud) Linux Instances

Step 1: First login into your AWS account. Once you are directed to the management console. From the left click on “Services” and from the listed options click on EC2 .

Afterward, you will be redirected to the EC2 console. Here is the image attached to refer to various features in EC2.

To know more about creating an EC2-Instance in a Step-by-Step guide refer to the Amazon EC2 – Creating an Elastic Cloud Compute Instance.

FAQs On AWS EC2-Instance

1. what is the difference between s3 and ec2.

S3 and EC2 are the two diffrent service offered by the Amazon Web Services one is to store the data in the form of objects and another is to deploy the Web Application.

2. Is EC2 A PAAS or IaaS?

EC2 belongs to Infrastructure as a service where the underlaying infrastructure is taken care by AWS.

3. Is EC2 a Virtual Machine?

Yes EC2 is an virtual machine where you can deploy the web applications.

4. What is AWS EC2 vs Elastic?

EC2 is charged based on the types of resources you are using like instance type, region you are deploying it will cost as pay as you go model and elastic beanstalk will be charged based on the resources consumed by elastic beanstalk.

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What are some Amazon EC2 use cases?

Users and organizations across the globe continue to unearth new Amazon EC2 use cases, from simple and straightforward websites to complex machine learning web apps.

Enterprise large and small, developers solo and squad, are finding new and creative ways to put the power that Amazon makes available to them via Elastic Compute Cloud . The virtually unlimited compute capacity, and sublime integrations with other AWS services, means that EC2 is the platform of choice for any and all manner of cloud based solutions.

Let’s take a quick look at some of the interesting and commonly employed ways of putting the Amazon EC2 platform to use.

EC2 use cases

The low costs and the ability to turn features on or off with the click of a button means everyone from web and application developers to gamers, researchers and scientists to entertainment and marketing companies are jumping in on the EC2 bandwagon to make the cloud work for them.

Here are some common EC2 use cases:

Hosting environments

One of the foremost uses of EC2 is for hosting a variety of applications, software and websites on the cloud. Users are even hosting games on the cloud, turning the servers on and off when needed. And the best part of this dynamic and scalable environment is that its compute capacity can grow along with the need of the application. This in turn ensures the best quality service for all end users at all times. Companies like Netflix, Reddit, and Nintendo are proof of the EC2 hosting success.

Development and test environments

The scalable nature of EC2 means that organizations now have the ability to create and deploy large scale testing and development environments with unprecedented ease. The Amazon cloud does away with any heavy upfront investments for hardware, all the while providing as scalable solution.

Backup and disaster recovery

Companies are leveraging EC2 as a medium for performing disaster recovery for both active and passive environments. The fact that the Amazon Elastic Compute Cloud can be turned up quickly in case of an emergency, means that businesses have access to a faster failover with minimal downtime for their applications.

Banking and financial sector

These are areas that demand the utmost in security and scalability — both are factors that Amazon EC2 provides in droves. Financial institutions trust the Amazon cloud to provide a range of highly secure services. Retail and commercial banks, credit unions, insurance providers, card service companies, and major payment platforms rely on AWS for their scalable cloud computing needs. EC2 provides efficient solutions for financial giants like Capital One, BBVA, UniCredit, and Pacific Life.

Marketing and advertisement

Low costs and rapid provisioning capabilities that EC2 allows have resulted in the platform increasingly being used to host marketing and advertising environments on the fly.

High performance computing

The need for HPC is exponentially on the rise, and EC2 provides specialized virtualized servers that provide both high performance networking and compute power. These can be used to perform a range of CPU intensive and number crunching tasks, including Big Data analytics and processing. NASA uses Amazon EC2 for JPL, and Pfizer is another organization that employs the use of HPC using EC2 instances.

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Agents for Cloud Resource Allocation: An Amazon EC2 Case Study

• Conference paper
• Cite this conference paper

• J. Octavio Gutierrez-Garcia 8 &
• Kwang Mong Sim 8  

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 261))

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• International Conference on Grid and Distributed Computing

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Infrastructure-as-a-service consumers are presented with numerous Cloud providers with a wide variety of resources. However, consumers are faced with providers that may offer (even similar) resources at different hourly cost rates, and also that no single provider may have matching resource capabilities to fulfill a highly heterogeneous set of requirements. This work proposes an agent-based approach endowed with the well-known contract net protocol for allocating heterogeneous resources from multiple Cloud providers while selecting the most economical resources. The contributions of this paper are: (i) devising an agent-based architecture for resource allocation in multi-Cloud environments, and (ii) implementing the agent-based Cloud resource allocation mechanism in commercial Clouds using Amazon EC2 as a case study. The Amazon EC2 case study shows that agents can autonomously select and allocate heterogeneous resources from multiple Cloud providers while dynamically sampling resources’ allocation cost for selecting the most economical resources.

• agent-based Cloud computing
• Cloud computing
• multi-agent systems
• resource allocation

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J. Octavio Gutierrez-Garcia & Kwang Mong Sim

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Tai-hoon Kim

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Hojjat Adeli

Chungwoon University, 350-701, Chungnam, Korea

Hyun-seob Cho

Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

Osvaldo Gervasi

Department of Computer Science and Engineering, Arizona State University, 85281, Mesa, AZ, USA

Stephen S. Yau

School of Computing and Information Systems, University of Tasmania, Hobart, TAS, Australia

Byeong-Ho Kang

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Javier García Villalba

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Gutierrez-Garcia, J.O., Sim, K.M. (2011). Agents for Cloud Resource Allocation: An Amazon EC2 Case Study. In: Kim, Th., et al. Grid and Distributed Computing. GDC 2011. Communications in Computer and Information Science, vol 261. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27180-9_66

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Amazon’s Elastic Compute Cloud (EC2) forms the basis for many Amazon Web Services (AWS) as well as the initial offerings that created modern cloud computing . Amazon EC2 has exploded from two options in 2006 into a matrix of offerings based on the CPUs needed, system memory, operating systems, and associated hardware for storage and networking.

Amazon EC2 instances can be turned off or on as needed, which embodies the elastic nature implied by the name. In the developing field of cloud computing, AWS enables organizations to stop investing in hardware and pay only for the compute time they need on an hourly or a minute-by-minute basis.

See below to learn all about Amazon EC2 and where it stands in the compute sector:

Review of Amazon EC2

• Key features
• Key benefits
• Differentiators
• User reviews

Conclusions

See more:  The Best Data Center Companies

Amazon EC2 and the Cloud Computing Market

Amazon’s EC2 competes in the cloud computing market that Allied Market Research estimated to be valued at $325 billion in 2019, with projections to grow at a compound annual growth rate (CAGR) of 15.8% to reach $1.6 trillion in 2030.

Grand View Research estimated the market reached $369 billion in 2021 and was growing at a CAGR of 15.7%, while Markets and Markets estimated a $445.3 billion market size in 2021 that would grow at a CAGR of 16.3% to reach $947 billion by 2026.

In Q2 2022 , AWS held a 34% market share of the high-growth cloud infrastructure market, and in Q1 2021, AWS grew its cloud business 36.5% year over year. Some of AWS’ major competitors in the cloud computing market include: Alibaba; Hewlett Packard Enterprise (HPE); IBM; Google; Microsoft; and Oracle.

Amazon EC2 Key Features

• 26 launched regions
• 84 availability zones
• Precise Amazon Time Sync Service
• Apple macOS
• Linux distributions, including Amazon Linux 2, Ubuntu, Red Hat Enterprise Linux, CentOS, SUSE, and Debian
• Microsoft Windows
• Seamless scaling
• Optimized computing performance
• Optimized CPU configurations
• Pause and resume instances
• Elastic Block Store: Persistent, highly available, consistent, low-latency block storage 
• Elastic File System: Simple, scalable, persistent, fully managed cloud file storage for shared access
• High packet-per-second performance networking with low jitter and low latency
• Elastic fabric adapter for high levels of inter-instance communication
• Dynamic cloud computing with elastic IP addresses
• High-performance computing clusters

See more:  How Data Centers are Used by Bosch, PayPal, Groupon, Orange, and Suez: Case Studies

Amazon EC2 Key Benefits

Organizations that use Amazon EC2 or other cloud computing solutions seek the following key benefits:

Application Development

Application developers need to test applications on the operating systems (OSs) and hardware on which the applications will run. However, purchasing a wide variety of OS and hardware combinations can be burdensome, and purchasing the hardware necessary to test applications at scale is even more so.

Developers can purchase relevant computing instances on Amazon EC2 using Windows, Linux, and macOS software to develop, troubleshoot, and stress test applications for local machines, enterprise scale use cases, and cloud-native deployment.

Elastic Computing Resources

Most businesses experience variable business cycles that cause surges and drawbacks for computing needs. Elastic computing resources provided by the cloud solutions allow for businesses to deploy a scalable infrastructure that grows and shrinks with true needs.

Using a service like Amazon EC2 avoids committing capital expenses (CapEx) resources unnecessarily to high-performance computing (HPC) resources that will not be in continual use. Companies can use operational expenses (OpEx) to meet peak demand and free up capital for other uses during downtime.

Machine Learning Infrastructure

Developing  machine learning (ML) and artificial intelligence (AI) requires heavy computing power to process enormous datasets and complex mathematical algorithms. Developers can use Amazon EC2 or other cloud resources to obtain computing at scale to train and deploy machine learning applications quickly and inexpensively.

Outsourced Computing Maintenance

In addition to obtaining high performance computing applications at scale, moving to the cloud eliminates many of the operational burdens and expenses necessary for maintaining on-premises data centers.

Companies effectively outsource the costs and management headaches for physical buildings, cooling systems, physical security systems, electrical power, and IT employee time to install, update, maintain, troubleshoot, and retire the bare-metal IT infrastructure.

Amazon EC2 Use Cases

Expedia group.

Expedia Worldwide Engineering (EWE) supports all Expedia Group websites worldwide, but it found that its new offerings suffered performance issues when run from centralized data centers in Arizona. EWE needed to deploy resources closer to its customers and selected Amazon EC2 because of its worldwide presence and established strength in the Asia Pacific region.

“From an architectural perspective, infrastructure, automation, and proximity to the customer were key factors,” says Murari Gopalan, technology director for EWE.

“There was no way for us to solve the problem without AWS.”

Lyft provides transportation solutions to riders through a network of 315,000 active drivers in 190 U.S. cities. Lyft’s engineers needed to reduce costs without impairing capabilities and chose to take advantage of AWS Spot pricing.

“By using AWS Spot instances, we’ve been able to save up to 75% a month simply by changing four lines of code. It makes perfect sense for saving money when you’re running continuous integration workloads or pipeline processing,” says Matthew Leventi, lead engineer at Lyft.

Volkswagen Group Research

Car design requires compute-heavy simulations to test aerodynamics and other performance metrics making various changes during vehicle development. Volkswagen Group Research wanted to decrease the development time for vehicles by using Amazon EC2 to increase the number of simulations and enable machine learning.

“We were able to run 200 car shape variants in a time frame that would normally correspond to only a few runs with our current operational tools,” says Henry Bensler, head of CAE methods at Volkswagen Group Research.

“The hardware and software combination we explored … is, in our opinion, ideal for generating training datasets for machine learning methods, like reduced order modeling.”

Zendesk’s customer-support platform software-as-a-service (SaaS) customers wanted to bypass customer support agents to obtain self-service answers. The data scientists of Zendesk selected Amazon EC2 to deploy systems that could support deep-learning algorithms for its Answer Bot virtual customer assistant.

“AWS enables us to develop and deliver capabilities our customers didn’t have before,” says Soon-Ee Cheah, a data scientist at Zendesk.

“With Answer Bot, for example, our customers can automatically provide more targeted and accurate answers to their customers’ questions. And because Answer Bot can reply directly to customers with answers in a few seconds, it can resolve support tickets before they reach agents. That can really transform the customer-service experience.”

Amazon EC2 Differentiators

When choosing Amazon EC2 over other cloud computing resources, customers often do so because of the following key differentiators:

AWS Marketplace

Amazon’s prominence in the marketplace creates a heavy demand for software and services to support its offerings. The AWS Marketplace provides over 10,000 offerings to support AWS products such as data products, DevOps, business applications, infrastructure software, Internet of Things (IoT) , machine learning, professional services, and offerings tailored for specific industries like education and health care.

Brand and Market Leader

AWS ranks No. 1 in market share and has a lead in offering support services and options. As the pioneering developer for cloud computing, AWS continues to expand its offerings and the features associated with EC2 and other cloud-computing offerings.

Amazon customers also benefit from the well-established AWS ecosystem and the fact that almost every cloud application must factor AWS compatibility into its development. Amazon also offers data centers world-wide with a well-established record of high reliability and resilience.

macOS Application Development

In November 2020, Amazon EC2 announced the availability of macOS instances from macOS Mojave (version 10.14) to macOS Monterey (version 12). EC2 also offers x86-based Mac hardware with Intel Core i7 processors, which allows Mac application developers to perform real-world tests on a variety of combinations to test future releases for iPhone, iPad, Mac, Apple Watch, Safari, or Apple TV.

User Reviews of Amazon EC2

Amazon ec2 pricing.

The flexible pricing for Amazon EC2 creates a complex and somewhat confusing array of options that may be best priced using the AWS pricing calculator . Amazon EC2 offers a free tier, short-term free trials, and up to 12 months of free service.

Amazon EC2 is also offered in five paid tiers :

• Free Tier: 750 hours of Linux and Windows t2.micro instances each month
• On-Demand: Payable by the hour or the second, no term or upfront payments, and increase or decrease as needed
• Savings Plans: Discounted hourly rates in exchange for a consistent amount of usage and offered in one- and three-year terms
• Reserved Instances: Scheduled and reserved computing power offered at a discount of up to 72% from On-Demand pricing
• Spot Instances: Spare EC2 computing capacity for up to 90% off On-Demand pricing
• Dedicated hosts: Physical EC2 server dedicated for use on an hourly basis and customers can use their own software licenses

In the buying or pricing process, customers will need to select from the following options:

• Tier of pricing
• Region for hosting
• Operating system for the instance
• General purpose
• Compute optimized
• Memory optimized
• Accelerated computing
• Storage optimized
• Number of CPUs for the instance

Cloud computing offers many advantages for enterprises to lower costs, free up cash flow, and improve operational resilience for peak demand times. Cloud computing also enables the development or deployment of applications that require raw bursts of computing power such as artificial intelligence and simulations.

Customers considering any move to the cloud should include Amazon EC2 and AWS in their evaluation list. As the original developer of cloud computing, Amazon provides a well-developed solution to satisfy a wide variety of enterprise needs.

See more:  The Edge Data Center Market

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I love the feature of GuardDuty Runtime Monitoring that analyzes operating system (OS)-level, network, and file events to detect potential runtime threats for specific AWS workloads in your environment. I first introduced the general availability of this feature for Amazon Elastic Kubernetes Service (Amazon EKS) resources in March 2023. Seb wrote about the expansion of the Runtime Monitoring feature to provide threat detection for Amazon Elastic Container Service (Amazon ECS) and AWS Fargate as well as the preview for Amazon Elastic Compute Cloud (Amazon EC2) workloads in Nov 2023.

Today, we are announcing the general availability of Amazon GuardDuty EC2 Runtime Monitoring to expand threat detection coverage for EC2 instances at runtime and complement the anomaly detection that GuardDuty already provides by continuously monitoring VPC Flow Logs, DNS query logs, and AWS CloudTrail management events. You now have visibility into on-host, OS-level activities and container-level context into detected threats.

With GuardDuty EC2 Runtime Monitoring, you can identify and respond to potential threats that might target the compute resources within your EC2 workloads. Threats to EC2 workloads often involve remote code execution that leads to the download and execution of malware. This could include instances or self-managed containers in your AWS environment that are connecting to IP addresses associated with cryptocurrency-related activity or to malware command-and-control related IP addresses.

GuardDuty Runtime Monitoring provides visibility into suspicious commands that involve malicious file downloads and execution across each step, which can help you discover threats during initial compromise and before they become business-impacting events. You can also centrally enable runtime threat detection coverage for accounts and workloads across the organization using AWS Organizations to simplify your security coverage.

Configure EC2 Runtime Monitoring in GuardDuty With a few clicks, you can enable GuardDuty EC2 Runtime Monitoring in the GuardDuty console . For your first use, you need to enable Runtime Monitoring.

Any customers that are new to the EC2 Runtime Monitoring feature can try it for free for 30 days and gain access to all features and detection findings. The GuardDuty console shows how many days are left in the free trial.

Now, you can set up the GuardDuty security agent for the individual EC2 instances for which you want to monitor the runtime behavior. You can choose to deploy the GuardDuty security agent either automatically or manually. At GA, you can enable Automated agent configuration , which is a preferred option for most customers as it allows GuardDuty to manage the security agent on their behalf.

The agent will be deployed on EC2 instances with AWS Systems Manager and uses an Amazon Virtual Private Cloud (Amazon VPC) endpoint to receive the runtime events associated with your resource. If you want to manage the GuardDuty security agent manually, visit Managing the security agent Amazon EC2 instance manually in the AWS documentation. In multiple-account environments, delegated GuardDuty administrator accounts manage their member accounts using AWS Organizations. For more information, visit Managing multiple accounts in the AWS documentation.

When you enable EC2 Runtime Monitoring, you can find the covered EC2 instances list, account ID, and coverage status, and whether the agent is able to receive runtime events from the corresponding resource in the EC2 instance runtime coverage tab.

Even when the coverage status is Unhealthy , meaning it is not currently able to receive runtime findings, you still have defense in depth for your EC2 instance. GuardDuty continues to provide threat detection to the EC2 instance by monitoring CloudTrail, VPC flow, and DNS logs associated with it.

Check out GuardDuty EC2 Runtime security findings When GuardDuty detects a potential threat and generates security findings, you can view the details of the healthy information.

Choose Findings in the left pane if you want to find security findings specific to Amazon EC2 resources. You can use the filter bar to filter the findings table by specific criteria, such as a Resource type of Instance . The severity and details of the findings differ based on the resource role, which indicates whether the EC2 resource was the target of suspicious activity or the actor performing the activity.

With today’s launch, we support over 30 runtime security findings for EC2 instances, such as detecting abused domains, backdoors, cryptocurrency-related activity, and unauthorized communications. For the full list, visit Runtime Monitoring finding types in the AWS documentation.

Resolve your EC2 security findings Choose each EC2 security finding to know more details. You can find all the information associated with the finding and examine the resource in question to determine if it is behaving in an expected manner.

If the activity is authorized, you can use suppression rules or trusted IP lists to prevent false positive notifications for that resource. If the activity is unexpected, the security best practice is to assume the instance has been compromised and take the actions detailed in Remediating a potentially compromised Amazon EC2 instance in the AWS documentation.

You can integrate GuardDuty EC2 Runtime Monitoring with other AWS security services, such as AWS Security Hub or Amazon Detective . Or you can use Amazon EventBridge , allowing you to use integrations with security event management or workflow systems, such as Splunk, Jira, and ServiceNow, or trigger automated and semi-automated responses such as isolating a workload for investigation.

When you choose Investigate with Detective , you can find Detective-created visualizations for AWS resources to quickly and easily investigate security issues. To learn more, visit Integration with Amazon Detective in the AWS documentation.

Things to know GuardDuty EC2 Runtime Monitoring support is now available for EC2 instances running Amazon Linux 2 or Amazon Linux 2023 . You have the option to configure maximum CPU and memory limits for the agent. To learn more and for future updates, visit Prerequisites for Amazon EC2 instance support in the AWS documentation.

To estimate the daily average usage costs for GuardDuty, choose Usage in the left pane. During the 30-day free trial period, you can estimate what your costs will be after the trial period. At the end of the trial period, we charge you per vCPU hours tracked monthly for the monitoring agents. To learn more, visit the Amazon GuardDuty pricing page.

Enabling EC2 Runtime Monitoring also allows for a cost-saving opportunity on your GuardDuty cost. When the feature is enabled, you won’t be charged for GuardDuty foundational protection VPC Flow Logs sourced from the EC2 instances running the security agent. This is due to similar, but more contextual, network data available from the security agent. Additionally, GuardDuty would still process VPC Flow Logs and generate relevant findings so you will continue to get network-level security coverage even if the agent experiences downtime.

Now available Amazon GuardDuty EC2 Runtime Monitoring is now available in all AWS Regions where GuardDuty is available, excluding AWS GovCloud (US) Regions and AWS China Regions. For a full list of Regions where EC2 Runtime Monitoring is available, visit Region-specific feature availability .

Give GuardDuty EC2 Runtime Monitoring a try in the GuardDuty console . For more information, visit the Amazon GuardDuty User Guide and send feedback to AWS re:Post for Amazon GuardDuty or through your usual AWS support contacts.

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