3.1 - Objective
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Launching and Managing EC2 Instances
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Today, we're diving into the essence of AWS Compute Services. First off, what is EC2?
It's a virtual machine that runs in AWS, right?
Exactly! EC2 stands for Elastic Compute Cloud. You can choose your OS, software, and resources. When launching an instance, what's the first step?
Selecting an AMI.
Correct! AMI is like a template for servers. Can anyone tell me what types of instances would be ideal for different workloads?
General-purpose for web servers and compute-optimized for batch processing.
Well done! Remember the acronym GCP for General, Compute, and Memory optimized instances to help you recall their usage.
What happens during instance management?
Great question! You can start, stop, reboot, or terminate instances. And remember, stopping keeps the instance, but terminating deletes it. Let's wrap up with a quick review: what are the steps to launching an EC2 instance?
Select AMI, choose instance type, configure details, add storage, tag, configure security group, and launch!
Perfect! Keep practicing these steps!
EC2 Instance Types and Pricing Models
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Now, let's explore EC2 instance types. Why is it crucial to select the right instance type?
To optimize performance for specific tasks!
Exactly! Instance types like memory-optimized are perfect for databases. Can someone explain the pricing models we can use?
There are On-Demand, Reserved, Spot Instances, and Savings Plans!
Yes! On-Demand is flexible, Reserved is cost-effective for long-term use, and Spot instances are bargain opportunities. Anyone remembers the percentage savings for Reserved instances?
Up to 75%.
Great! To remember, think of 'On-Demand' as paying as you go, like utilities. Let's conclude this session by recalling the types of instances based on usage: General, Compute, Memory, Storage, and Accelerated Computing.
Got it!
Introduction to AWS Lambda and Serverless Computing
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Let's shift gears to serverless computing with AWS Lambda. Who can explain what Lambda does?
It runs code without needing to manage servers!
Exactly! You're charged only for the compute time your code runs. What are some typical events that can trigger a Lambda function?
S3 uploads, API Gateway requests, and database changes.
Perfect! One example is generating thumbnails from uploaded images. Can someone sum up the benefits of using AWS Lambda?
Automatic scaling and you only pay for what you use.
Great job! For memory, think of it as 'run and forget'βyou just focus on the code. Finally, what triggers functions would you find most useful?
I like the automated S3 trigger!
Auto Scaling and Elastic Load Balancing
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To ensure our applications remain responsive, we need to understand Auto Scaling. What is its primary purpose?
It adjusts the number of EC2 instances based on demand!
That's right! How does it work with CloudWatch?
It utilizes scaling policies based on alarms!
Correct! Now, what role does Elastic Load Balancer (ELB) play in scaling?
It distributes incoming traffic to healthy instances.
Exactly! Remember: ELB = traffic distribution. Can anyone summarize how ELB and Auto Scaling work together?
ELB sends traffic to healthy instances while Auto Scaling adjusts their number based on usage!
Well summarized! Keeping high availability and scalability together is key in cloud applications.
Introduction & Overview
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Quick Overview
Standard
The objective is to provide a hands-on understanding of AWS compute services, focusing on launching and managing EC2 instances, exploring instance types and pricing models, introducing AWS Lambda and serverless computing, and grasping Auto Scaling with Elastic Load Balancing for enhanced scalability and cost efficiency.
Detailed
Objective
The main objective of this section is to equip learners with the necessary skills to effectively utilize AWS compute services. This involves:
- Launching and Managing EC2 Instances: Understanding the functionalities of the Amazon Elastic Compute Cloud (EC2), which allows users to rent virtual servers in the cloud. Key steps include selecting an Amazon Machine Image (AMI), configuring instance details, and managing the instance throughout its lifecycle.
- EC2 Instance Overview: Definition of EC2 as a virtual machine with administrative access, and how to manage it including SSH and RDP connections.
- EC2 Instance Types and Pricing Models: Exploring various EC2 instance types optimized for specific workloads and understanding different pricing models such as On-Demand, Reserved, Spot Instances, and Savings Plans. Each model caters to different usage scenarios and cost requirements.
- Instance Types: Overview of instance families such as General Purpose, Compute Optimized, Memory Optimized, etc.
- Introduction to AWS Lambda: Introduction to serverless computing with AWS Lambda, which executes code in response to events without requiring user management of server infrastructure. Key benefits include automatic scaling and pay-per-use pricing.
- Common Use Cases: Examples include triggering functions based upon S3 uploads or DynamoDB changes.
- Auto Scaling and Elastic Load Balancing (ELB): Insight into how AWS manages resources dynamically to handle varying loads efficiently, ensuring high availability and fault tolerance by utilizing Auto Scaling and ELB together.
In summary, this section aims to provide essential knowledge for effectively utilizing AWS compute services, fostering an understanding that is crucial for optimizing application performance and managing costs.
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Introduction to AWS Compute Services
Chapter 1 of 5
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Chapter Content
Provide hands-on understanding of AWS compute servicesβhow to launch and manage EC2 instances, explore instance types and pricing, get introduced to AWS Lambda and serverless computing, and understand Auto Scaling with Elastic Load Balancing for scalability and cost efficiency.
Detailed Explanation
This section introduces the objectives of learning AWS compute services. The main focus is on hands-on experiences with different compute services that AWS offers. The key areas covered are launching and managing EC2 instances, understanding various instance types and pricing strategies, getting familiar with AWS Lambda and serverless computing, and learning about Auto Scaling and Elastic Load Balancing for scalability and cost-efficient architecture.
Examples & Analogies
Think of AWS compute services as different tools in a toolbox. Just as a handyman uses different tools for various tasksβlike a hammer for driving nails and a wrench for tightening boltsβan IT professional uses AWS compute services like EC2 for running applications, Lambda for executing code without managing servers, and Auto Scaling to ensure resources are available only when needed.
Launching and Managing EC2 Instances
Chapter 2 of 5
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Chapter Content
Launch and manage EC2 Instances. Amazon Elastic Compute Cloud (EC2) lets you rent virtual servers in the cloud to run applications just like you would on physical servers.
Detailed Explanation
EC2 allows users to create virtual servers on demand. This means that instead of purchasing physical hardware, users can rent virtual machines to run their software. When launching an EC2 instance, you select an operating system and configure the resources based on your needs. This flexibility is valuable for businesses of any size.
Examples & Analogies
Imagine renting a car instead of buying one. With a rented car, you can select the model that fits your current needsβwhether itβs a compact car for city driving or an SUV for a family trip. Similarly, with EC2, you can pick the type of instance based on your current workload, allowing for efficient resource management.
Understanding Instance Types and Pricing
Chapter 3 of 5
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Chapter Content
Explore instance types and pricing models: On-Demand Instances, Reserved Instances, Spot Instances, and Savings Plans.
Detailed Explanation
AWS offers various instance types tailored for different use cases, such as general-purpose, compute-optimized, and memory-optimized instances. Additionally, understanding the pricing models helps users manage costs effectively. For instance, On-Demand pricing is ideal for unpredictable workloads, while Reserved Instances offer significant discounts for predictable workloads.
Examples & Analogies
Consider shopping for a smartphone. You might buy a flagship model (High-end instance) for top performance, but if you only need basic functions, a mid-range model (General-purpose instance) could be more cost-effective. Similarly, you can choose pricing models based on how you use AWSβlike opting for a subscription for predictable users rather than pay-as-you-go for fluctuating needs.
Introduction to AWS Lambda
Chapter 4 of 5
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Chapter Content
Get introduced to AWS Lambda and serverless computing, a service that lets you run code without provisioning or managing servers.
Detailed Explanation
AWS Lambda empowers developers to focus on writing code without worrying about the underlying infrastructure. Users simply upload their codeβknown as a Lambda functionβand specify the events that should trigger its execution. AWS takes care of scaling based on the workload, making it an efficient method for managing code execution.
Examples & Analogies
Think of AWS Lambda like a restaurant where you place an order (your code) and wait for your meal (execution of your code). You donβt need to know how the kitchen (infrastructure) operates; you just enjoy your meal when itβs ready. This allows you to focus solely on your order without concern for how it is prepared.
Understanding Auto Scaling and Elastic Load Balancing
Chapter 5 of 5
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Chapter Content
Understand Auto Scaling with Elastic Load Balancing for scalability and cost efficiency.
Detailed Explanation
Auto Scaling automatically adjusts the number of EC2 instances based on demand, ensuring applications remain available while managing costs by reducing instances during low traffic. Elastic Load Balancing distributes incoming network traffic to different EC2 instances, enhancing fault tolerance and ensuring that no single instance is overwhelmed.
Examples & Analogies
Imagine a busy restaurant that adds more tables and staff during peak hours (Auto Scaling). When itβs less busy, they can reduce the number of tables and staff to save money. Elastic Load Balancing is like the host who seats customers at different tables to prevent overcrowding at a specific table, improving overall guest experience.
Key Concepts
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EC2 Instance: A virtual server in the cloud offered by AWS.
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AMI: A template used to create EC2 instances.
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Auto Scaling: Automatically adjust the number of EC2 instances based on demand.
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Elastic Load Balancing: Distributes incoming traffic among EC2 instances.
Examples & Applications
Launching a t2.micro instance for a web application.
Using AWS Lambda to process images uploaded to an S3 bucket.
Memory Aids
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Rhymes
When you need to scale, don't let your site fail; use ELB and Auto Scale, let traffic set sail.
Stories
Imagine a chef in a restaurant. EC2 instances are the cooksβalways ready to serve. When more customers arrive, more cooks are summoned to handle the workload, just like Auto Scaling adjusts instances based on incoming demand.
Memory Tools
Remember the acronym 'APPS' for AWS pricing models: A for On-Demand, P for Reserved, P for Spot, S for Savings Plans.
Acronyms
Remember GCP for General, Compute, and Memory types when choosing EC2.
Flash Cards
Glossary
- EC2 (Elastic Compute Cloud)
A web service that provides resizable compute capacity in the cloud.
- AMI (Amazon Machine Image)
A pre-configured template used to create an EC2 instance.
- Instance Type
Category of EC2 instance that defines the hardware resources available.
- Auto Scaling
A service that automatically adjusts the number of EC2 instances in response to demand.
- Elastic Load Balancer (ELB)
A service that automatically distributes incoming traffic across multiple EC2 instances.
- Lambda Function
A piece of code executed by AWS Lambda in response to certain events.
- Serverless Computing
A cloud-computing model that allows developers to build and run applications without managing servers.
Reference links
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