case study of amazon ec2

• AWS Load Balancing
• AWS Autoscaling
• AWS Fargate
• Microsoft Azure Tutorial
• Google Cloud Platform Tutorial
• Docker tutorials
• Kubernetes Tutorials
• GIT Tutorials
• Docker cheat sheet
• Kubernetes cheat sheet
• Ansible Interview Questions
• Docker Interview Questions
• AWS Interview Questions

What is Elastic Compute Cloud (EC2)?

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.

Table of Content

AWS EC2 (Elastic Compute Cloud)

What is amazon ec2 (elastic compute cloud), use cases of amazon ec2 (elastic compute cloud), aws ec2 instance types, features of aws ec2 (elastic compute cloud), pricing of aws ec2 (elastic compute cloud) instance, create aws free tier account, get started with amazon ec2 (elastic compute cloud) linux instances, benefits of amazon ec2, best practices of amazon ec2.

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.

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).

The following are the use cases of Amazon EC2:

• 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

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

1. General Purpose Instances

• It provides the balanced resources for a wide range of workloads.
• It is suitable for web servers, development environments, and small databases.

Examples: T3, M5 instances.

2. Compute Optimized Instances

• It provides high-performance processors for compute-intensive applications.
• It will be Ideal for high-performance web servers, scientific modeling, and batch processing.

Examples: C5, C6g instances.

3. Memory-Optimized Instances

• High memory-to-CPU ratios for large data sets.
• Perfect for in-memory databases, real-time big data analytics, and high-performance computing (HPC).

Examples: R5, X1e instances.

4. Storage Optimized Instances

• It provides optimized resource of instance for high, sequential read and write access to large data sets.
• Best for data warehousing, Hadoop, and distributed file systems.

Examples: I3, D2 instances.

5. Accelerated Computing Instances

• It facilitates with providing hardware accelerators or co-processors for graphics processing and parallel computations.
• It is ideal for machine learning, gaming, and 3D rendering.

Examples: P3, G4 instances.

The following are the features of AWS EC2:

1. 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.

2. 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

3. 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.

4. 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.

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.

Amazon Web Service(AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers including the fastest-growing startups, largest enterprises, and leading government agencies are using AWS to lower costs, become more agile, and innovate faster. AWS offers new subscribers a 12-month free tier to get hands-on experience with all AWS cloud services. To know more about how to create an AWS account for free refer to Amazon Web Services (AWS) – Free Tier Account Set up .

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.

The following are the benefits of Amazon EC2:

• Scalability: It helps to easily scale the instances up or down based on the demand with ensuring the optimal performance and cost-efficiency.
• Flexibility: It provides wide variety of instance types and configurations for matching different workload requirements and operating systems.
• Cost-Effectiveness: It comes with providing Pay-as-you-go model with options like On-Demand, Reserved, and Spot Instances for managing cost efficiently.
• High Availability and Reliability : It offers multiple geographic regions and availability zones for strong fault tolerance and disaster recovery.

The following are the best practices of Amazon EC2:

• Optimize Instance Selection: It helps in choosing the right instance type for your workload to balance the performance and cost.
• Implement Security Measures: On using the security groups, VPC, and IAM roles for control access and permissions.
• Enable Monitoring and Logging: It facilitates with utilizing cloudwatch to monitor the instance performance and setup the alarms.
• Automate and Backup: It helps in using the autoscaling features for automatically adjusting the instance capacity based on traffic.

AWS EC2-Instance – FAQs

Is ec2 a paas or iaas.

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

Is EC2 a Virtual Machine?

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

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.

What is EC2 in AWS?

Amazon EC2 (Elastic Compute Cloud) provides scalable virtual servers in the AWS cloud.

Is EC2 just a VM?

Yes, EC2 instances are virtual machines that you can configure and manage in the cloud.

What is EC2 good for?

EC2 is will be ideal for running the applications, hosting the websites, and handling the scalable workloads.

Why do customers use EC2?

Customers can use the Amazon EC2 for its features such as flexibility, scalability, cost-effectiveness, and ease of use.

Please Login to comment...

Similar reads.

• Amazon Web Services
• Cloud-Computing
• Best Twitch Extensions for 2024: Top Tools for Viewers and Streamers
• Discord Emojis List 2024: Copy and Paste
• Best Adblockers for Twitch TV: Enjoy Ad-Free Streaming in 2024
• PS4 vs. PS5: Which PlayStation Should You Buy in 2024?
• Full Stack Developer Roadmap [2024 Updated]

Improve your Coding Skills with Practice

What kind of Experience do you want to share?

• Certifications
• AWS White Papers

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.

Useful Links

Cisco ACI Jobs

Cloud Security Jobs

Windows Azure Jobs

DevOps Jobs

Cloud Migration Jobs

Latest AWS Jobs

Copyright © 2020 AWSforBusiness.com

• Terms Of Use

Get started with Amazon EC2

Use this tutorial to get started with Amazon Elastic Compute Cloud (Amazon EC2). You'll learn how to launch and connect to an EC2 instance. An instance is a virtual server in the AWS Cloud. With Amazon EC2, you can set up and configure the operating system and applications that run on your instance.

The following diagram shows the key components that you'll use in this tutorial:

An image – A template that contains the software to run on your instance, such as the operating system.

A key pair – A set of security credentials that you use to prove your identity when connecting to your instance. The public key is on your instance and the private key is on your computer.

A network – A virtual private cloud (VPC) is a virtual network dedicated to your AWS account. To help you get started quickly, your account comes with a default VPC in each AWS Region, and each default VPC has a default subnet in each Availability Zone.

A security group – Acts as a virtual firewall to control inbound and outbound traffic.

An EBS volume – We require a root volume for the image. You can optionally add data volumes.

Cost for this tutorial

When you sign up for AWS, you can get started with Amazon EC2 using the AWS Free Tier . If you created your AWS account less than 12 months ago, and have not already exceeded the Free Tier benefits for Amazon EC2, it won't cost you anything to complete this tutorial, because we help you select options that are within the Free Tier benefits. Otherwise, you'll incur the standard Amazon EC2 usage fees from the time that you launch the instance until you terminate the instance (which is the final task of this tutorial), even if it remains idle.

For instructions to determine whether you are eligible for the Free Tier, see Track your Free Tier usage for Amazon EC2 .

Step 1: Launch an instance

Step 2: connect to your instance, step 3: clean up your instance.

You can launch an EC2 instance using the AWS Management Console as described in the following procedure. This tutorial is intended to help you quickly launch your first instance, so it doesn't cover all possible options.

To launch an instance

Open the Amazon EC2 console at https://console.aws.amazon.com/ec2/ .

In the navigation bar at the top of the screen, we display the current AWS Region — for example, Ohio . You can use the selected Region, or optionally select a Region that is closer to you.

From the EC2 console dashboard, in the Launch instance pane, choose Launch instance .

Under Name and tags , for Name , enter a descriptive name for your instance.

Under Application and OS Images (Amazon Machine Image) , do the following:

Choose Quick Start , and then choose the operating system (OS) for your instance. For your first Linux instance, we recommend that you choose Amazon Linux.

From Amazon Machine Image (AMI) , select an AMI that is marked Free Tier eligible .

Under Instance type , for Instance type , choose t2.micro , which is eligible for the Free Tier. In Regions where t2.micro is not available, t3.micro is eligible for the Free Tier .

Under Key pair (login) , for Key pair name , choose an existing key pair or choose Create new key pair to create your first key pair.

If you choose Proceed without a key pair (Not recommended) , you won't be able to connect to your instance using the methods described in this tutorial.

Under Network settings , notice that we selected your default VPC, selected the option to use the default subnet in an Availability Zone that we choose for you, and configured a security group with a rule that allows connections to your instance from anywhere. For your first instance, we recommend that you use the default settings. Otherwise, you can update your network settings as follows:

(Optional) To use a specific default subnet, choose Edit and then choose a subnet.

(Optional) To use a different VPC, choose Edit and then choose an existing VPC. If the VPC isn't configured for public internet access, you won't be able to connect to your instance.

(Optional) To restrict inbound connection traffic to a specific network, choose Custom instead of Anywhere , and enter the CIDR block for your network.

(Optional) To use a different security group, choose Select existing security group and choose an existing security group. If the security group does not have a rule that allows connection traffic from your network, you won't be able to connect to your instance. For a Linux instance, you must allow SSH traffic. For a Windows instance, you must allow RDP traffic.

Under Configure storage , notice that we configured a root volume but no data volumes. This is sufficient for test purposes.

Review a summary of your instance configuration in the Summary panel, and when you're ready, choose Launch instance .

If the launch is successful, choose the ID of the instance from the Success notification to open the Instances page and monitor the status of the launch.

Select the check box for the instance. The initial instance state is pending . After the instance starts, its state changes to running . Choose the Status and alarms tab. After your instance passes its status checks, it is ready to receive connection requests.

The procedure that you use depends on the operating system of the instance. If you can't connect to your instance, see Troubleshoot issues connecting to your Amazon EC2 Linux instance for assistance.

You can connect to your Linux instance using any SSH client. If you are running Windows on your computer, open a terminal and run the ssh command to verify that you have an SSH client installed. If the command is not found, install OpenSSH for Windows .

To connect to your instance using SSH

In the navigation pane, choose Instances .

Select the instance and then choose Connect .

On the Connect to instance page, choose the SSH client tab.

(Optional) If you created a key pair when you launched the instance and downloaded the private key (.pem file) to a computer running Linux or macOS, run the example chmod command to set the permissions for your private key.

Copy the example SSH command. The following is an example, where key-pair-name .pem is the name of your private key file, ec2-user is the username associated with the image, and the string after the @ symbol is the public DNS name of the instance.

In a terminal window on your computer, run the ssh command that you saved in the previous step. If the private key file is not in the current directory, you must specify the fully-qualified path to the key file in this command.

The following is an example response:

(Optional) Verify that the fingerprint in the security alert matches the instance fingerprint contained in the console output when you first start an instance. To get the console output, choose Actions , Monitor and troubleshoot , Get system log . If the fingerprints don't match, someone might be attempting a man-in-the-middle attack. If they match, continue to the next step.

Enter yes .

To connect to a Windows instance using RDP, you must retrieve the initial administrator password and then enter this password when you connect to your instance. It takes a few minutes after instance launch before this password is available.

The default username for the Administrator account depends on the language of the operating system (OS) contained in the AMI. To ascertain the correct username, identify the language of your AMI's OS, and then choose the corresponding username. For example, for an English OS, the username is Administrator , for a French OS it's Administrateur , and for a Portuguese OS it's Administrador . If a language version of the OS does not have a username in the same language, choose the username Administrator (Other) . For more information, see Localized Names for Administrator Account in Windows in the Microsoft TechNet Wiki.

To retrieve the initial administrator password

On the Connect to instance page, choose the RDP client tab.

For Username , choose the default username for the Administrator account. The username you choose must match the language of the operating system (OS) contained in the AMI that you used to launch your instance. If there is no username in the same language as your OS, choose Administrator (Other) .

Choose Get password .

On the Get Windows password page, do the following:

Choose Upload private key file and navigate to the private key ( .pem ) file that you specified when you launched the instance. Select the file and choose Open to copy the entire contents of the file to this window.

Choose Decrypt password . The Get Windows password page closes, and the default administrator password for the instance appears under Password , replacing the Get password link shown previously.

Copy the password and save it in a safe place. This password is required to connect to the instance.

The following procedure uses the Remote Desktop Connection client for Windows (MSTSC). If you're using a different RDP client, download the RDP file and then see the documentation for the RDP client for the steps to establish the RDP connection.

To connect to a Windows instance using an RDP client

On the Connect to instance page, choose Download remote desktop file . When the file download is finished, choose Cancel to return to the Instances page. The RDP file is downloaded to your Downloads folder.

Run mstsc.exe to open the RDP client.

Expand Show options , choose Open , and select the .rdp file from your Downloads folder.

By default, Computer is the public IPv4 DNS name of the instance and User name is the administrator account. To connect to the instance using IPv6 instead, replace the public IPv4 DNS name of the instance with its IPv6 address. Review the default settings and change them as needed.

Choose Connect . If you receive a warning that the publisher of the remote connection is unknown, choose Connect to continue.

Enter the password that you saved previously, and then choose OK .

Due to the nature of self-signed certificates, you might get a warning that the security certificate could not be authenticated. Do one of the following:

If you trust the certificate, choose Yes to connect to your instance.

[Windows] Before you proceed, compare the thumbprint of the certificate with the value in the system log to confirm the identity of the remote computer. Choose View certificate and then choose Thumbprint from the Details tab. Compare this value to the value of RDPCERTIFICATE-THUMBPRINT in Actions , Monitor and troubleshoot , Get system log .

[Mac OS X] Before you proceed, compare the fingerprint of the certificate with the value in the system log to confirm the identity of the remote computer. Choose Show Certificate , expand Details , and choose SHA1 Fingerprints . Compare this value to the value of RDPCERTIFICATE-THUMBPRINT in Actions , Monitor and troubleshoot , Get system log .

If the RDP connection is successful, the RDP client displays the Windows login screen and then the Windows desktop. If you receive an error message instead, see Remote Desktop can't connect to the remote computer . When you are finished with the RDP connection, you can close the RDP client.

After you've finished with the instance that you created for this tutorial, you should clean up by terminating the instance. If you want to do more with this instance before you clean up, see Next steps .

Terminating an instance effectively deletes it; you can't reconnect to an instance after you've terminated it.

You'll stop incurring charges for that instance or usage that counts against your Free Tier limits as soon as the instance status changes to shutting down or terminated . To keep your instance for later, but not incur charges or usage that counts against your Free Tier limits , you can stop the instance now and then start it again later. For more information, see Stop and start Amazon EC2 instances .

To terminate your instance

In the navigation pane, choose Instances . In the list of instances, select the instance.

Choose Instance state , Terminate instance .

Choose Terminate when prompted for confirmation.

Amazon EC2 shuts down and terminates your instance. After your instance is terminated, it remains visible on the console for a short while, and then the entry is automatically deleted. You cannot remove the terminated instance from the console display yourself.

After you start your instance, you might want to explore the following next steps:

Learn how to track your Amazon EC2 Free Tier usage using the console. For more information, see Track your Free Tier usage for Amazon EC2 .

Configure a CloudWatch alarm to notify you if your usage exceeds the Free Tier. For more information, see Tracking your AWS Free Tier usage in the AWS Billing User Guide .

Add an EBS volume. For more information, see Create an Amazon EBS volume in the Amazon EBS User Guide .

Learn how to remotely manage your EC2 instance using the Run command. For more information, see AWS Systems Manager Run Command in the AWS Systems Manager User Guide .

Learn about instance purchasing options. For more information, see Amazon EC2 billing and purchasing options .

Get advice about instance types. For more information, see Get recommendations from EC2 instance type finder .

To use the Amazon Web Services Documentation, Javascript must be enabled. Please refer to your browser's Help pages for instructions.

Thanks for letting us know we're doing a good job!

If you've got a moment, please tell us what we did right so we can do more of it.

Thanks for letting us know this page needs work. We're sorry we let you down.

If you've got a moment, please tell us how we can make the documentation better.

• Cloud Computing

AWS Case Studies: Services and Benefits in 2024

Home Blog Cloud Computing AWS Case Studies: Services and Benefits in 2024

With its extensive range of cloud services, Amazon Web Services (AWS) has completely changed the way businesses run. Organisations demonstrate how AWS has revolutionized their operations by enabling scalability, cost-efficiency, and innovation through many case studies. AWS's computing power, storage, database management, and artificial intelligence technologies have benefited businesses of all sizes, from startups to multinational corporations. These include improved security, agility, worldwide reach, and lower infrastructure costs. With Amazon AWS educate program it helps businesses in various industries to increase growth, enhance workflow, and maintain their competitiveness in today's ever-changing digital landscape. So, let's discuss the AWS cloud migration case study   and its importance in getting a better understanding of the topic in detail.

What are AWS Case Studies, and Why are They Important?

The   AWS case   studies comprehensively explain how companies or organizations have used Amazon Web Services (AWS) to solve problems, boost productivity, and accomplish objectives. These studies provide real-life scenarios of Amazon Web Services (AWS) in operation, showcasing the wide range of sectors and use cases in which AWS can be successfully implemented. They offer vital lessons and inspiration for anyone considering or already using AWS by providing insights into the tactics, solutions, and best practices businesses use the AWS Cloud Engineer program . The Amazon ec2 case study   is crucial since it provides S's capabilities, assisting prospective clients in comprehending the valuable advantages and showcasing AWS's dependability, scalability, and affordability in fostering corporate innovation and expansion.

What are the Services Provided by AWS, and What are its Use Cases?

The   case study on AWS in Cloud Computing provided and its use cases mentioned:

Elastic Compute Cloud (EC2) Use Cases

Amazon Elastic Compute Cloud (EC2) enables you to quickly spin up virtual computers with no initial expenditure and no need for a significant hardware investment. Use the AWS admin console or automation scripts to provision new servers for testing and production environments promptly and shut them down when not in use.

AWS EC2 use cases consist of:

• With options for load balancing and auto-scaling, create a fault-tolerant architecture.
• Select EC2 accelerated computing instances if you require a lot of processing power and GPU capability for deep learning and machine learning.

Relational Database Service (RDS) Use Cases

Since Amazon Relational Database Service (Amazon RDS) is a managed database service, it alleviates the stress associated with maintaining, administering, and other database-related responsibilities.

AWS RDS uses common cases, including:

• Without additional overhead or staff expenditures, a new database server can be deployed in minutes and significantly elevate dependability and uptime. It is the perfect fit for complex daily database requirements that are OLTP/transactional.
• RDS should be utilized with NoSQL databases like Amazon OpenSearch Service (for text and unstructured data) and DynamoDB (for low-latency/high-traffic use cases).

AWS Workspaces

AWS offers Amazon Workspaces, a fully managed, persistent desktop virtualization service, to help remote workers and give businesses access to virtual desktops within the cloud. With it, users can access the data, apps, and resources they require from any supported device, anywhere, at any time.

AWS workspaces use cases

• IT can set up and manage access fast. With the web filter, you can allow outgoing traffic from a Workspace to reach your chosen internal sites.
• Some companies can work without physical offices and rely solely on SaaS apps. Thus, there is no on-premises infrastructure. They use cloud-based desktops via AWS Workspaces and other services in these situations.

AWS Case Studies

Now, we'll be discussing different case studies of AWS, which are mentioned below: -

Case Study - 1: Modern Web Application Platform with AWS

American Public Media, the programming section of Minnesota Public Radio, is one of the world's biggest producers and distributors of public television. To host their podcast, streaming music, and news websites on AWS, they worked to develop a proof of concept.

After reviewing an outdated active-passive disaster recovery plan, MPR decided to upgrade to a cloud infrastructure to modernize its apps and methodology. This infrastructure would need to be adaptable to changes within the technology powering their apps, scalable to accommodate their audience growth, and resilient to support their disaster recovery strategy.

MPR and AWS determined that MPR News and the public podcast websites should be hosted on the new infrastructure to show off AWS as a feasible choice. Furthermore, AWS must host multiple administrative apps to demonstrate its private cloud capabilities. These applications would be an image manager, a schedule editor, and a configuration manager.

To do this, AWS helped MPR set up an EKS Kubernetes cluster . The apps would be able to grow automatically according to workload and traffic due to the cluster. AWS and MPR developed Elasticsearch at Elastic.co and a MySQL instance in RDS to hold application data.

Business Benefits

Considerable cost savings were made possible by the upgraded infrastructure. Fewer servers would need to be acquired for these vital applications due to the decrease in hardware requirements. Additionally, switching to AWS made switching from Akamai CDN to CloudFront simple. This action reduced MPR's yearly expenses by thousands.

Case Study - 2: Platform Modernisation to Deploy to AWS

Foodsby was able to proceed with its expansion goals after receiving a $6 million investment in 2017, but it still needed to modernize its mobile and web applications. For a faster time to launch to AWS, they improved and enhanced their web, iOS, and Android applications.

Sunsetting technology put this project on a surged timeline. Selecting the mobile application platform required serious analysis and expert advice to establish consensus across internal stakeholders.

Improving the creation of front-end and back-end web apps that separated them into microservices to enable AWS hosting, maximizing scalability. Strengthening recommended full Native for iOS and Android and quickly creating and implementing that solution.

Case Study - 3: Cloud Platform with Kubernetes

SPS Commerce hired AWS to assist them with developing a more secure cloud platform, expanding their cloud deployment choices through Kubernetes, and educating their engineers on these advanced technologies.

SPS serves over 90,000 retail, distribution, grocery, and e-commerce businesses. However, to maintain its growth, SPS needs to remove obstacles to deploying new applications on AWS and other cloud providers in the future. They wanted a partner to teach their internal development team DevOps principles and reveal them to Kubernetes best practices, even though they knew Kubernetes would help them achieve this.

To speed up new project cycle times, decrease ramp-up times, and improve the team's Kubernetes proficiency, it assisted with developing a multi-team, Kubernetes-based platform with a uniform development method. The standards for development and deployment and assisted them in establishing the deployment pipeline.

Most teams can plug, play, and get code up and running quickly due to the streamlined deployment interface. SPS Commerce benefits from Kubernetes' flexibility and can avoid vendor lock-in, which they require to switch cloud providers.

Case Study - 4: Using Unified Payment Solutions to Simplify Government Services

The customer, who had a portfolio of firms within its authority, needed to improve experience to overcome the difficulty of combining many payment methods into a single, unified solution.

Due to the customers' varied acquisitions, the payment system landscape became fragmented, making it more difficult for clients to make payments throughout a range of platforms as well as technologies. Providing a streamlined payment experience could have been improved by this lack of coherence and standardization.

It started developing a single, cloud-based payment system that complies with the customers' microservices-based reference design. CRUD services were created after the user interface for client administration was set at the beginning of the project.

With this, the customer can streamline operations and increase efficiency by providing a smooth payment experience.

The new system demonstrated a tremendous improvement over the old capability, demonstrating the ability to handle thousands of transactions per second.

Maintaining system consistency and facilitating scalability and maintenance were made more accessible by aligning with the reference architecture.

Case Study - 5: Accelerated Data Migration to AWS

They selected improvements to create   an   AWS cloud migration case study cloud platform to safely transfer their data from a managed service provider to AWS during the early phases of a worldwide pandemic.

Early in 2020, COVID-19 was discovered, and telemedicine services were used to lessen the strain on hospital infrastructure. The number of telehealth web queries increased dramatically overnight, from 5,000 to 40,000 per minute. Through improvement, Zipnosis was able to change direction and reduce the duration of its AWS migration plan from six to three months. The AWS architecture case study includes HIPAA, SOC2, and HITRUST certification requirements. They also wanted to move their historic database smoothly across several web-facing applications while adhering to service level agreements (SLAs), which limited downtime.

Using Terraform and Elastic Kubernetes Service, the AWS platform creates a modern, infrastructure-as-code, HIPAA-compliant, and HITRUST-certified environment. With the help of serverless components, tools were developed to roll out an Application Envelope, enabling the creation of a HIPAA-compliant environment that could be activated quickly.

Currently, Zipnosis has internal platform management. Now that there is more flexibility, scaling up and down is more affordable and accessible. Their services are more marketable to potential clients because of their scalable, secure, and efficient infrastructure. Their use of modern technologies, such as Kubernetes on Amazon EKS, simplifies hiring top people. Zipnosis is in an excellent position to move forward.

Case Study - 6: Transforming Healthcare Staffing

The customer's outdated application presented difficulties. It was based on the outdated DBROCKET platform and needed an intuitive user interface, testing tools, and extensibility. Modernizing the application was improving the job and giving the customer an improved, scalable, and maintainable solution.

Although the customer's old application was crucial for predicting hospital staffing needs, maintenance, and improvements were challenging due to its reliance on the obscure DBROCKET platform. Hospitals lost money on inefficient staff scheduling due to the application's lack of responsiveness and a mobile-friendly interface.

Choosing Spring Boot and Groovy for back-end development to offer better maintainability and extensibility throughout the improved migration of the application from DBROCKET to a new technology stack. Unit tests were used to increase the reliability and standard of the code.

Efficiency at Catalis increased dramatically when the advanced document redaction technology was put in place. They were able to process papers at a significantly higher rate because the automated procedure cut down the time and effort needed for manual redaction.

Catalis cut infrastructure costs by utilizing serverless architecture and cloud-based services. They saved a significant amount of money because they were no longer required to upgrade and maintain on-premises servers.

The top-notch Knowledgehut best Cloud Computing courses that meet different demands and skill levels are available at KnowledgeHut. Through comprehensive curriculum, hands-on exercises, and expert-led instruction, attendees may learn about and gain practical experience with cloud platforms, including AWS, Azure, Google Cloud, and more. Professionals who complete these courses will be efficient to succeed in the quickly developing sector of cloud computing.

Finally,   a   case study of   AWS retail case studies offers a range of features and advantages. These studies show how firms in various industries use AWS for innovation and growth, from scalability to cost efficiency. AWS offers a robust infrastructure and a range of technologies to satisfy changing business needs, whether related to improving customer experiences with cloud-based solutions or streamlining processes using AI and machine learning. These case studies provide substantial proof of AWS's influence on digital transformation and the success of organizations.

Frequently Asked Questions (FAQs)

From the case study of Amazon web services, companies can learn how other businesses use AWS services to solve real-world problems, increase productivity, cut expenses, and innovate. For those looking to optimize their cloud strategy and operations, these case studies provide insightful information, optimal methodologies, and purpose. 

You can obtain case studies on AWS through the AWS website, which has a special section with a large selection of case studies from different industries. In addition, AWS releases updated case studies regularly via various marketing platforms and on its blog.

The case study of Amazon web services, which offers specific instances of how AWS services have been successfully applied in various settings, can significantly assist in the decision-making process for IT initiatives. Project planning and strategy can be informed by the insights, best practices, and possible solutions these case studies provide.

Kingson Jebaraj

Kingson Jebaraj is a highly respected technology professional, recognized as both a Microsoft Most Valuable Professional (MVP) and an Alibaba Most Valuable Professional. With a wealth of experience in cloud computing, Kingson has collaborated with renowned companies like Microsoft, Reliance Telco, Novartis, Pacific Controls UAE, Alibaba Cloud, and G42 UAE. He specializes in architecting innovative solutions using emerging technologies, including cloud and edge computing, digital transformation, IoT, and programming languages like C, C++, Python, and NLP. 

Avail your free 1:1 mentorship session.

Something went wrong

Upcoming Cloud Computing Batches & Dates

A Comprehensive Guide to Amazon EC2 (Elastic Compute Cloud)

by Adithya Bodi | Jul 14, 2023 | Blogs

What is Amazon EC2?

Availability zones and regions , additional stages, overview of different ec2 instance families and types , use cases and recommendations for different instance types , comparison of instance types for various workloads , accessing amazon ec2, selecting the right ec2 instance type based on workload requirements , configuring instance size, storage options, and security groups , launching an ec2 instance and connecting to it, monitoring and optimizing ec2 instances , scaling ec2 instances horizontally and vertically , managing instance lifecycle (start, stop, terminate), elastic ip addresses , load balancing with amazon ec2 , auto scaling , virtual private cloud (vpc) integration , choosing the right ec2 instance type for specific workloads , optimizing amazon ec2 instances for cost efficiency and performance , security best practices for amazon ec2 instances , utilizing automation and infrastructure as code for amazon ec2 management, conclusion , about trackit.

Cloud computing has revolutionized the way businesses operate, providing easy access to compute resources in the cloud to anyone who needs it. At the forefront of this revolution is Amazon EC2 (Elastic Compute Cloud) , a service that provides businesses with convenient access to scalable and flexible computing resources. EC2 enables the dynamic adjustment of compute capacity to align with the constantly evolving demands of applications, ensuring optimal performance and cost-efficiency.

This comprehensive guide provides an in-depth exploration of Amazon EC2, covering its fundamental concepts, advanced features, and best practices.

Understanding the Basics of EC2

EC2 instances are the backbone of Amazon Web Services (AWS), providing virtual machines that operate on physical servers within the AWS infrastructure. As virtual servers in the cloud, EC2 instances play a crucial role in delivering powerful computing resources for running a wide range of applications. Each EC2 instance boasts dedicated CPU, RAM, storage, and networking capabilities, ensuring optimal performance and flexibility. This versatility enables the customization of instances to meet specific performance and configuration requirements. 

EC2 instances are strategically deployed across a global network of AWS data centers, ensuring widespread availability and enhanced performance. These data centers are organized into geographically dispersed regions to cater to diverse customer needs. 

Within each region are distinct and independent facilities called Availability Zones that have their own dedicated power, cooling, and networking infrastructure. Leveraging multiple availability zones allows for the creation of highly-available and fault-tolerant architectures that can withstand failures and disruptions. By intelligently distributing EC2 instances across availability zones, businesses can safeguard against localized outages and optimize their applications’ resilience and uptime.

EC2 Instance Lifecycle

The lifecycle of EC2 instances encompasses multiple stages, each playing a crucial role in achieving optimal resource utilization and cost control. Actively monitoring and managing the lifecycle of EC2 instances helps optimize costs by aligning resource allocation with actual workload demands.

The journey of an EC2 instance begins with its launch, where it is provisioned and initialized to handle specific workloads and applications. Once launched, the instance enters the running state, actively utilizing computing resources to fulfill its intended purpose.

There are scenarios where temporarily stopping an instance is beneficial. When an instance is stopped, its state is preserved while its compute resources are halted, allowing for cost savings during periods of low demand or maintenance activities. This flexible state management contributes to efficient resource utilization and cost optimization.

At times, an instance may no longer be needed. In such cases, terminating the instance releases its associated resources, freeing up capacity and eliminating ongoing costs. Properly managing the termination of instances ensures optimal resource utilization and helps avoid unnecessary expenses. 

The lifecycle of EC2 instances also includes additional stages such as rebooting, hibernating, and resizing, each offering unique functionalities and capabilities to further optimize performance and cost efficiency.

EC2 Instance Types and Use Cases 

Amazon EC2 offers a broad range of options catering to different workloads and requirements. These instance families include general-purpose, compute-optimized, memory-optimized, storage-optimized, and GPU instances. Each family offers a distinct balance of CPU, memory, storage, and networking capabilities, allowing for the selection of the most appropriate option based on specific use cases.

Selecting the appropriate EC2 instance type is crucial to achieving optimal performance and cost-effectiveness. Various factors, such as workload characteristics and specific application requirements, should guide the decision-making process. 

• Compute-intensive : For tasks such as batch processing, general-purpose M5 or T3 series instances offer a balanced combination of CPU, memory, and networking capabilities. These instances are well-suited for compute-intensive workloads.
• Graphics-intensive : GPU-intensive workloads require specialized hardware to handle the demanding computational requirements of rendering, modeling, simulation, and other graphics-related tasks. G4 instances combine high-performance GPUs with ample CPU, memory, storage, and networking capabilities to deliver exceptional performance for graphics-intensive tasks.
• Memory-intensive: For applications such as in-memory databases or real-time analytics, memory-optimized R5 series instances are the ideal choice. These instances provide a larger amount of RAM, enabling efficient handling of data-intensive workloads.
• High I/O performance and storage: Applications that require high I/O performance and extensive local storage can benefit from storage-optimized EC2 instances such as the I3 series. These instances are designed to deliver exceptional input/output performance and offer large local storage capacity, making them suitable for data-intensive workloads.

To facilitate the selection of the most appropriate instance type, a comparison of a few examples can be helpful. Data-intensive workloads can benefit from the C5 instance family, which offers a balanced combination of compute and memory resources. Conversely, for high-performance computing needs such as scientific simulations or machine learning, the P3 instances, equipped with NVIDIA GPUs, deliver exceptional computational power. Understanding the unique characteristics and capabilities of each instance type enables the optimization of application performance while maintaining cost-efficiency.

Launching and configuring Amazon EC2 instances

An active AWS account is necessary to access Amazon EC2. The service can be accessed through various interfaces, including the AWS Management Console, Command Line Interface (CLI), or Software Development Kits (SDKs).

When launching an EC2 instance, selecting the appropriate instance type is crucial. Factors to consider include CPU capacity, memory requirements, storage options, network performance, and specialized requirements such as GPUs.

During the instance launch process, customization options are available for the following settings:

• Instance size: The appropriate size can be selected based on workload requirements.
• Storage options: A choice can be made between Amazon EBS volumes or instance store to fulfill storage needs.
• Security groups: Rules can be configured to control inbound and outbound traffic, enhancing overall security.

After configuring the instance details, the EC2 instance can be launched. Once the instance is running, a connection can be established using secure shell (SSH) or Remote Desktop Protocol (RDP) based on the operating system in use.

Managing Amazon EC2 instances 

Efficient management of EC2 instances guarantees optimal performance, scalability, and cost management.

Proactive monitoring of EC2 instances helps track application performance and identification of potential bottlenecks or resource utilization issues. AWS offers services such as Amazon CloudWatch that collect and visualize instance metrics to facilitate proactive optimization.

EC2 instances can be scaled horizontally by adding more instances to distribute the workload or vertically by increasing the instance size to enhance performance. Utilizing features like Auto Scaling allows for automatic scaling based on defined policies.

Controlling the lifecycle of EC2 instances is essential for cost optimization. Instances can be started, stopped, or terminated based on usage patterns. Stopping or terminating unused instances can significantly reduce costs.

Advanced EC2 Concepts and Features

Elastic IP addresses offer a static public IP that can be associated with an EC2 instance. They enable the retention of a consistent public IP for an EC2 instance, even in cases of stopping or termination. This feature proves valuable for applications requiring a stable endpoint. Associating an Elastic IP address with an EC2 instance can be accomplished through the AWS Management Console, CLI, or API. This association guarantees that the instance maintains a persistent IP which remains unchanged even when the instance is stopped and restarted.

Load balancing plays a critical role in distributing incoming network traffic across multiple EC2 instances, improving application availability and fault tolerance. Amazon Elastic Load Balancer (ELB) is an AWS service that automatically distributes incoming traffic across multiple EC2 instances. It provides fault tolerance by ensuring that traffic is directed to healthy instances and helps handle sudden spikes in traffic.

Load balancers can be configured and managed either through the AWS Management Console or programmatically using APIs. Defining load balancer listeners, health checks, and routing rules allows for optimized traffic distribution.

Auto Scaling enables the automatic adjustment of the number of EC2 instances based on changing workload demands. It helps maintain performance, reduce costs, and ensures high availability by automatically adding or removing instances based on predefined scaling policies.

To utilize Auto Scaling, an Auto Scaling group needs to be created and scaling policies must be configured. These policies establish conditions for scaling, such as CPU utilization or network traffic, and determine the number of instances to add or remove accordingly.

EC2 instances can be deployed in a Virtual Private Cloud (VPC) to provide enhanced security, networking, and control over AWS resources. A Virtual Private Cloud (VPC) enables the creation of a private virtual network in the AWS cloud, providing the ability to manage network configurations. By launching EC2 instances within a VPC, administrators gain control over IP addressing, subnets, routing tables, and network access control lists (ACLs).

Within a VPC, subnets can be configured to partition the network, route tables can be established to manage traffic flow, and security groups can be defined to enforce instance-level firewall rules. These configurations grant precise control over network access and security for EC2 instances.

EC2 Best Practices

Adherence to best practices for cost efficiency, performance, and security helps maximize the benefits of EC2.

Thoroughly evaluating workload requirements is essential when selecting the most appropriate EC2 instance type. Factors to consider include CPU capacity, memory requirements, storage needs, network demands, and any specialized requirements such as GPUs or FPGA accelerators.

To minimize compute expenses, it is advisable to leverage pricing options offered by AWS:

• Reserved Instances: Offer the ability to pre-book EC2 capacity, granting access to discounted hourly rates compared to On-Demand Instances. By making commitments to a particular instance type, region, and duration (1 or 3 years), substantial cost savings can be realized. Reserved Instances prove beneficial for workloads that exhibit consistent and predictable usage patterns over an extended period of time.
• Savings Plans: Offer flexible pricing options for EC2 instances and other AWS services including Amazon RDS and AWS Lambda . Unlike Reserved Instances, Savings Plans offer savings on usage regardless of instance family, size, or region. This provides more flexibility for workloads with varying resource requirements.

Furthermore, it is essential to consistently monitor and adjust the instance sizes to align with workload demands to avoid unnecessary overprovisioning.

Implementing robust security measures is crucial to ensuring the protection of EC2 instances and data. This includes utilizing security groups to control inbound and outbound traffic, regularly applying security patches, enabling encryption for data at rest and in transit, and implementing multi-factor authentication (MFA) for secure access. By incorporating these comprehensive security practices, the integrity and confidentiality of your Amazon EC2 infrastructure can be effectively maintained, reducing the risk of unauthorized access and data breaches.

Utilizing automation tools such as AWS CloudFormation allows for the programmatic provisioning, configuration, and management of EC2 instances. Infrastructure as Code (IaC) practices facilitate consistent and repeatable deployments, simplifying the management and scalability of infrastructure. 

Amazon EC2 (Elastic Compute Cloud) plays a vital role in modern cloud computing by providing convenient access to scalable and flexible compute resources. This comprehensive guide has explored the fundamental concepts, advanced features, and best practices associated with Amazon EC2 that assist in the construction of operationally efficient and cost-effective cloud applications. 

TrackIt is an international AWS cloud consulting, systems integration, and software development firm headquartered in Marina del Rey, CA.

We have built our reputation on helping media companies architect and implement cost-effective, reliable, and scalable Media & Entertainment workflows in the cloud. These include streaming and on-demand video solutions, media asset management, and archiving, incorporating the latest AI technology to build bespoke media solutions tailored to customer requirements.

Cloud-native software development is at the foundation of what we do. We specialize in Application Modernization, Containerization, Infrastructure as Code and event-driven serverless architectures by leveraging the latest AWS services. Along with our Managed Services offerings which provide 24/7 cloud infrastructure maintenance and support, we are able to provide complete solutions for the media industry.

• All Categories Blogs Case Studies Press Releases White Papers
• All Tags .net ad marker insertion ad markers ai ai ml ai video reviewer AI/ML aiml amazon bedrock amazon eks amazon ivs amazon opensearch amazon q amazon rekognition apache airflow archive archiving artificial intelligence athena aurora autodesk aws aws elemental aws global accelerator aws glue aws map aws migration aws migration acceleration program aws nuke aws optimization aws security aws shield aws studio in the cloud aws tagging aws tags aws thinkbox deadline aws waf azure azure media services bedrock bot control bot protection broadcast Case study cdn CI/CD cloud computing cloud migration cloud optimization cloud security cloud studio cloudformation cloudfront CMS containerization containers content moderation content monetization content production content security cost optimization cpu d2c data data accuracy data analytics data lake data quality data quality assurance data relevance data science data warehouse database davinci resolve ddos attacks ddos cost protection ddos protection deadline deadline. rfdk deepscan Devops digital rights management disaster recovery docker drm ec2 Ecommerce ecs EKS eks as a product eks blueprints Elasticsearch etl fargate fashion clothing recognition fashion image recognition fsx gen ai genai generative ai gke glacier global accelerator glue gpu HLS offline hpc iac iconik iis website image recongition image upscaling improving latency incident management Incident Response infrastructure as code instance optimization instance size Javascript kasada key-value kubernetes lambda large language models live remote production live streaming live video LLMs m&e machine learning MAM map assess Media media asset management mediatailor metadata metadata extraction metadata generation migrate to aws migration modernization monetization monitoring movie summary generation mysql nextjs nimble studio nosql nosql database ods opensearch optimization ott PagerDuty performance optimization pixelogic prompt engineering react real time 3d video redshift reinvent Rekognition remix render farm management rendering resource optimization retail RPO RTO sandbox security Serverless sfmt sftmt shield advanced shield standard shot detection api sic sinclair SLA software dev software development sony ci sql sql query sre step functions streaming studio in the cloud tagging tags teradici terraform trackflix transcoding unreal engne vector engines vfx video hosting video on demand video player video upscaling Video Watermarking videoJS vimeo vmix vod VOD Pipeline waf web application firewall well architected windows container windows containers

The Ultimate Guide to Amazon EC2 Cloud Services

Amazon EC2 is one of the most popular cloud computing services available, providing a flexible and easy-to-use platform for businesses of all sizes to access the power of the cloud. With this comprehensive guide, you’ll learn how to use Amazon EC2 to take advantage of its scalability, cost-effectiveness, security, and more.

Amazon EC2 offers the broadest and deepest compute platform. It has over 500 instances to meet the diverse needs of workloads in any instance type. Amazon EC2 was the first major cloud provider that offered support for Intel, AMD, and Arm CPUs, as well as Mac instances and on-demand network throughput of over 400 Gbps.

Table of Contents

What is amazon ec2.

Amazon EC2 (Elastic Compute Cloud) is a cloud computing platform offered by Amazon Web Services (AWS), that allows businesses to quickly and easily build, deploy, scale, and manage computing resources such as virtual machines. With Amazon EC2, businesses can access servers on demand to help speed up development and reduce costs associated with maintaining their own physical infrastructure.

Setting Up an Amazon EC2 Instance

Setting up an instance on Amazon EC2 is easy and efficient. The first step is to go to the EC2 dashboard in the AWS Console and select “Launch Instance” from the menu. From there, you will be prompted to choose from a variety of Amazon Machine Images (AMI) that contain operating systems and other software packages. Once you have chosen an AMI, modify your instance settings, such as memory and storage size, to meet your operational needs. Finally, click “Review and Launch” and follow instructions on screen to complete the process.

Configuring Your EC2 Security Policy

Security is key when setting up an instance on Amazon EC2. In order to protect your data and prevent unauthorized access, it is important to configure proper security policies. Begin by configuring the identity access management (IAM) roles for this instance using the AWS IAM service and then create a security group that determines which traffic can reach your instance. You should also set up a Virtual Private Cloud (VPC) in which a subnet of devices can communicate securely and separately from public-facing networks. Finally, use Access Control Lists (ACLs) to specify acceptable levels of permissions and activities for your EC2 instance.

Using Amazon EC2 Auto-Scaling

To ensure optimal performance and reliability, it is important to deploy your instance with Amazon EC2 Auto-Scaling. This service allows you to automatically scale up or down your EC2 instances as needed. You can set a desired number of target instances, maximum capacity limit, minimum capacity limit and an autoscaling policy that specifies how the service should respond to changes in demand. Additionally, you can also configure advanced monitoring metrics such as CPU utilization and latency, which enable the auto scaler to scale up or down accordingly to prevent unexpected spikes or drops in performance.

The Benefits of Using Amazon EC2

Amazon EC2 provides resizable compute capacity in the cloud. Some benefits of using Amazon EC2 include:

Scalability

Amazon Elastic Compute Cloud allows you to increase or decrease the number of resources (virtual CPUs and memory) as needed, making it easy to handle changes in demand.

Flexibility

EC2 allows you to choose from various instance types, operating systems, and software packages, so you can choose the configuration that best meets your needs.

Cost-effectiveness

EC2 allows you to pay for only the resources you need when you need them, so you save time and money when compared to maintaining your own physical servers.

High availability

EC2 provides a number of configurations for ensuring high availability and fault tolerance, such as using multiple availability zones and load balancers.

EC2 provides various security features, such as security groups and network access control lists, to help you secure your instances and data.

Works with other AWS services

EC2 instances can easily integrate with other AWS services, making it easy to build and run complex applications in the cloud.

Bonus Tip: Automating EC2 Instances with AWS CloudFormation and Lambda Functions

AWS CloudFormation and  AWS Lambda  functions enable you to automate the scaling of your EC2 instances. With CloudFormation, you can define your desired EC2 instance runtime and capacity as a template that can be automated with simple Lambda functions. This allows you to quickly and easily manage large numbers of resources without having to manually adjust them daily. Additionally, Lambda functions can also use advanced metrics such as latency, CPU utilization and recent requests per second in order to determine when it is appropriate to scale up or down your EC2 infrastructure.

Micromanaging an Amazon RDS Instance means fine-tuning the configurations and settings to get the most performance out of your database. Here are a few tips and tricks to achieve optimal performance from an Amazon RDS instance.

• Enable automated backups to ensure that important data is regularly backed up.
• Set multiple availability zones for fault tolerance, meaning if one zone experiences an outage due to a natural disaster or failure, the other zones will remain operational.
• Configure CPU Credits to increase burst capacity – especially if your workloads spike during certain times of day or year.

Ready to mak the most of your Amazon EC2 Service?

Other aws guides.

AWS Outposts: Enhancing On-Premises and Cloud Integration

AWS IoT Core: Key Features and Pricing Explained

Optimizing Software Development: The Power of Amazon CodeGuru

AWS Transit Gateway: Streamlining Complex Network Architectures

AWS X-Ray for Application Insight and Debugging

Text Insights with AWS Comprehend: A Comprehensive Guide

Get the latest articles and news about AWS

I have read and agree with Cloudvisor's Privacy Policy .

Take advantage of instant discounts on your AWS and Cloudfront services

AWS Cost Optimization

Squeeze the best performance out of your AWS infrastructure for less money

Well-Architected Framework Review

Ensure you're following AWS best practices with a free annual WAFR review

Monitoring Service

24/7 monitoring catches any potential issues before they turn into a problem

Data Engineering Services

Make the most of your data with optimization, analysis, and automation

Migration to AWS

Seamlessly transfer your cloud infrastructure to AWS with minimal downtime

AWS Security

Protect your AWS infrastructure with sophisticated security tools and consultation

AWS Marketplace

Access the best tools for your use case via the AWS Marketplace

• For Startups
• Case Studies

Dive into our latest insights, trends, and tips on cloud technology.

Your comprehensive resource for mastering AWS services.

Join our interactive webinars to learn from cloud experts.

Whitepapers

Explore in-depth analyses and research on cloud strategies.

• Free consultation

IEEE Account

• Change Username/Password
• Update Address

Purchase Details

• Payment Options
• Order History
• View Purchased Documents

Profile Information

• Communications Preferences
• Profession and Education
• Technical Interests
• US & Canada: +1 800 678 4333
• Worldwide: +1 732 981 0060
• Contact & Support
• About IEEE Xplore
• Accessibility
• Terms of Use
• Nondiscrimination Policy
• Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. © Copyright 2024 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.