Deep Dive Into Compute Services

This section provides an in-depth exploration of AWS compute services, focusing on launching and managing EC2 instances, AWS Lambda, and Auto Scaling with Elastic Load Balancing.

Objective

This section delves into AWS compute services, including EC2 instance management, AWS Lambda, and Auto Scaling.

Launching And Managing Ec2 Instances

This section covers how to launch and manage Amazon EC2 instances, from selecting AMIs to configuring instance details and security settings.

What Is An Ec2 Instance?

An EC2 instance is a virtual machine within AWS that allows users to run applications with full administrative access.

Step-By-Step: Launching An Ec2 Instance

This section covers the process of launching and managing an Amazon EC2 instance, detailing steps from selecting an AMI to configuring security settings.

Choose An Ami (Amazon Machine Image)

This section covers the process of selecting an AMI to launch EC2 instances in AWS, detailing the AMI's role and types.

Select An Instance Type

This section covers how to select an appropriate EC2 instance type based on workload requirements and pricing models.

Configure Instance Details

This section introduces the essential steps involved in configuring instance details while launching Amazon EC2 instances.

Add Storage

This section discusses how to add storage to EC2 instances using Elastic Block Store (EBS), highlighting its role and function in cloud computing.

Add Tags

This section provides a thorough insight into managing EC2 instances, covering their launch process, instance types, and introducing AWS Lambda and scaling techniques.

Configure Security Group

This section covers the configuration of security groups in AWS, which serve as virtual firewalls to control inbound and outbound traffic for EC2 instances.

Review And Launch

This section focuses on launching and managing EC2 instances in AWS, providing an overview of instance types, pricing models, AWS Lambda, and auto-scaling mechanisms.

Managing Ec2 Instances

This section provides an overview of how to launch and manage Amazon EC2 instances effectively.

Start, Stop, Reboot, Terminate

This section explains the fundamental commands used to manage Amazon EC2 instances, including launching, starting, stopping, rebooting, and terminating them.

Connect

This section delves into launching and managing Amazon EC2 instances, exploring AWS Lambda and serverless computing, and understanding Auto Scaling with Elastic Load Balancing.

Monitor

This section provides an overview of AWS compute services, focusing on launching EC2 instances, using AWS Lambda, and scaling with Elastic Load Balancing.

Ec2 Instance Types And Pricing Models

This section explores the various EC2 instance types optimized for different workloads and the associated pricing models to effectively manage costs.

Ec2 Instance Types

This section explores the various types of Amazon EC2 instances and their pricing models, enabling users to choose optimal configurations for specific workloads.

General Purpose

This section provides a foundational understanding of AWS compute services, focusing on EC2 instance management, AWS Lambda functionalities, and Auto Scaling with Elastic Load Balancing.

Compute Optimized

This section provides insights into AWS EC2 instances, especially those optimized for compute tasks, and explores associated services like AWS Lambda and Auto Scaling.

Memory Optimized

This section provides an overview of memory-optimized AWS EC2 instances, their pricing models, and use cases for high memory applications.

Storage Optimized

This section covers the fundamentals of storage optimized EC2 instances in AWS, focusing on their use cases, pricing, and configuration.

Accelerated Computing

This section introduces AWS accelerated computing and its applications, focusing on EC2 instance types optimized for different workloads.

Pricing Models

This section discusses various pricing models for Amazon EC2 instances, helping users choose the most cost-effective option for their workload.

On-Demand Instances

On-Demand Instances allow users to pay for compute capacity without long-term commitments, making them ideal for unpredictable workloads.

Reserved Instances

Reserved Instances allow users to commit to a longer-term use of AWS resources at a discounted rate, optimizing costs for steady-state applications.

Spot Instances

Spot Instances allow users to bid on spare AWS capacity at significantly lower rates, suitable for flexible workloads.

Savings Plans

Savings Plans offer a flexible pricing model from AWS that allows customers to commit to consistent usage for discount benefits.

Introduction To Aws Lambda And Serverless Computing

AWS Lambda is a serverless compute service that enables users to run code in response to events without managing servers.

What Is Aws Lambda?

AWS Lambda is a serverless compute service that allows users to run code without managing servers, scaling automatically based on demand.

Key Benefits

This section details the benefits of AWS Lambda and serverless computing, focusing on its key features such as automatic scaling and pay-per-use pricing.

Automatic Scaling

Automatic scaling enables AWS to adjust the number of EC2 instances based on demand, ensuring performance and cost-effectiveness.

Pay-Per-Use

The pay-per-use model in AWS allows users to incur charges based only on the resources they utilize instead of committing to long-term contracts.

Supports Many Languages

This section outlines key components of AWS compute services, showcasing how to launch EC2 instances, utilize AWS Lambda for serverless computing, and understand Auto Scaling and Elastic Load Balancing.

Typical Event Sources That Trigger Lambda Functions

This section covers the common event sources that can trigger AWS Lambda functions, demonstrating the ease of responding to various data-driven events in a serverless architecture.

Example Use Case

This section covers the practical application of AWS compute services, focusing on how to effectively launch and manage EC2 instances and leverage AWS Lambda.

Auto Scaling And Elastic Load Balancing (Elb)

Auto Scaling and Elastic Load Balancing (ELB) help maintain application performance and cost efficiency by dynamically adjusting EC2 instances based on demand.

Auto Scaling

Auto Scaling automatically adjusts the number of EC2 instances to manage application performance and cost-efficiency.

How Auto Scaling Works

Auto Scaling automatically adjusts the number of EC2 instances to match demand, ensuring optimal application performance and cost efficiency.

Elastic Load Balancing (Elb)

Elastic Load Balancing distributes network traffic across multiple EC2 instances, enhancing application availability and fault tolerance.

Supports Different Types

This section provides a detailed overview of AWS compute services, focusing on launching EC2 instances, different instance types and pricing models, AWS Lambda for serverless computing, and Auto Scaling with Elastic Load Balancing.

How Elb And Auto Scaling Work Together

This section explains the synergy between Elastic Load Balancing (ELB) and Auto Scaling in AWS, highlighting their roles in enhancing application availability and scalability.

Summary

This section encapsulates the key aspects of AWS compute services, focusing on the management of EC2 instances, and the introduction of AWS Lambda and Auto Scaling.