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Compute Services: Amazon EC2, Lambda, and Elastic Beanstalk Basics

Lesson 5/29 | Study Time: 20 Min

WS provides a robust suite of compute services that enable organizations to deploy applications and manage workloads with flexibility, scalability, and ease. Among the most widely used compute services are Amazon EC2, AWS Lambda, and AWS Elastic Beanstalk.

Each caters to different application needs—from traditional server-based setups to serverless architectures and managed application deployment platforms. 

Amazon EC2 (Elastic Compute Cloud)

Amazon EC2 offers on-demand, resizable virtual servers ("instances") in the AWS Cloud. It provides the most control and flexibility over the underlying infrastructure.


Key Features:


1. Launch as many virtual servers as needed with various instance types optimized for compute, memory, storage, or GPU.

2. Ability to choose operating systems, software stacks, and custom configurations.

3. Supports scalable storage through Amazon Elastic Block Store (EBS) and ephemeral instance store volumes.

4. Security managed via Security Groups (virtual firewalls), IAM for access policies, and Key Pairs for secure logins.

5. Includes Auto Scaling and Elastic Load Balancing for high availability and dynamic resource management.

AWS Lambda

AWS Lambda is a serverless compute service that runs your code in response to events and automatically manages the underlying compute resources. You pay only for the compute time your code consumes.


Key Features:


1. No need to provision or manage servers; just upload code functions.

2. Automatically scales to handle from a few requests per day to thousands per second.

3. Integrated with over 150 AWS and SaaS event sources (e.g., S3 uploads, DynamoDB streams, API Gateway requests).

4. Supports multiple programming languages and runtimes.



AWS Elastic Beanstalk

Elastic Beanstalk simplifies application deployment by abstracting infrastructure management, letting developers focus on writing code. It is a Platform as a Service (PaaS) that automates provisioning, deployment, scaling, and monitoring of applications.


Key Features:


1. Supports applications developed in Java, .NET, PHP, Node.js, Python, Ruby, Go, and Docker.

2. Automatically handles capacity provisioning, load balancing, auto-scaling, and health monitoring.

3. Allows customization of AWS resources (EC2 instance types, database options) under the hood.

4. Integrated with developer tools and managed through console, CLI, or APIs.


Use Cases:


1. Rapid deployment of web applications and services where infrastructure management complexity is a concern.

2. Development teams want simplified application lifecycle management while preserving access to AWS resources.

3. Projects needing scalable web environments with minimal operational overhead.


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Class Sessions

1- Overview of Cloud Computing and AWS Cloud 2- AWS Global Infrastructure: Regions, Availability Zones, and Edge Locations 3- Shared Responsibility Model in AWS 4- Key Benefits of AWS Cloud: Scalability, Elasticity, and Cost Optimization 5- Compute Services: Amazon EC2, Lambda, and Elastic Beanstalk Basics 6- Storage Services: Amazon S3, EBS, and Glacier Overview and Use Cases 7- Database Services: Amazon RDS, DynamoDB, and Aurora Fundamentals 8- Monitoring and Management: AWS CloudWatch and CloudTrail Essentials 9- Designing Scalability and High Availability: Auto Scaling and Elastic Load Balancing 10- Virtual Private Cloud (VPC): Components, Subnets, Route Tables, Network ACLs, and Security Groups 11- VPN vs. Direct Connect: Connectivity Options Explained 12- AWS Identity and Access Management (IAM): users, groups, roles, policies, and best practices 13- Data Protection: Encryption Options (SSE, KMS) and SSL/TLS Basics 14- AWS Security Best Practices and Compliance Considerations 15- Designing for Fault Tolerance Using Multi-AZ and Multi-Region Deployments 16- Load Balancing Strategies with Elastic Load Balancers: Application, Network, Classic 17- Backup and Recovery Strategies with AWS Backup, Snapshots, and Lifecycle Policies 18- Disaster Recovery Fundamentals and AWS Architecture Approaches: Pilot Light, Warm Standby, Multi-Site 19- AWS Pricing Models: On-Demand, Reserved Instances, and Spot Instances 20- Cost Management Tools: AWS Cost Explorer, Budgets, Pricing Calculator Basics 21- Architectural Best Practices for Cost-Efficient Solutions in AWS 22- Rightsizing and Resource Optimization Techniques in AWS 23- Infrastructure as Code (IaC) Basics: AWS CloudFormation Introduction. 24- Deploying Applications Using AWS Elastic Beanstalk and AWS Lambda Serverless Computing 25- Continuous Integration and Continuous Deployment (CI/CD) Overview with AWS Developer Tools: CodeCommit, CodePipeline, CodeBuild 26- Monitoring application health and performance in production environments 27- Exam Overview, Format, and Registration Process for AWS Certification 28- Tips for Answering Scenario-Based Questions in AWS Exams 29- Practice Questions and Explanations for AWS Solutions Architect – Associate Exam

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