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AWS for Backend Developers (EC2, S3, RDS, Lambda) · Lezione

Tipi di istanza EC2 e AMI

Selezioni i tipi di istanza EC2 ottimali per carichi di lavoro specifici e crei Amazon Machine Image (AMI) personalizzate per deployment coerenti.

Tipi di istanza EC2 e AMI è una lezione AWS for Backend Developers (EC2, S3, RDS, Lambda) gratuita su CoddyKit. Questa è la lezione 1 di 4. Puoi leggere la lezione completa qui gratuitamente — poi esercitati direttamente nel browser con un editor di codice integrato e un tutor IA disponibile 24/7. Fa parte del percorso di apprendimento AWS for Backend Developers (EC2, S3, RDS, Lambda), e i tuoi progressi si sincronizzano tra il web e l'app CoddyKit. Il corso AWS for Backend Developers (EC2, S3, RDS, Lambda) include 4 lezioni in totale.

Parti di questa lezione non sono ancora state tradotte e vengono mostrate in inglese.

Choosing the Right EC2 Instance

When you launch an EC2 instance, you need to pick an instance type. This choice is crucial for both performance and cost optimization.

An instance type defines the virtual hardware resources of your EC2 instance, like CPU, memory, storage, and networking capacity.

EC2 Instance Families Overview

AWS categorizes instance types into families, each optimized for different use cases. Understanding these helps you make the best choice for your applications.

  • General Purpose: Balanced compute, memory, and networking.
  • Compute Optimized: High-performance processors.
  • Memory Optimized: Large amounts of RAM.
  • Storage Optimized: High-performance local storage.
  • Accelerated Computing: Hardware accelerators (GPUs).

General Purpose: Balanced Workloads

General Purpose instances offer a good balance of compute, memory, and networking resources. They're ideal for a wide range of common applications.

  • M-series (e.g., m5.large): Great for web servers, small databases, and application servers.
  • T-series (e.g., t3.micro): Burst-capable instances, excellent for development, test environments, and low-traffic websites. They can burst CPU performance when needed.

Compute Optimized: High CPU Demand

Compute Optimized instances are specifically designed for applications that benefit significantly from high-performance processors and high CPU utilization.

C-series (e.g., c5.xlarge) are perfect for compute-intensive workloads such as:

  • High-performance web servers
  • Batch processing
  • Scientific modeling
  • Gaming servers

Memory Optimized: Large Datasets

Memory Optimized instances are built for workloads that process large datasets in memory. They feature a high memory-to-CPU ratio.

R-series (e.g., r5.2xlarge) and X-series (e.g., x1.large) instances are well-suited for:

  • High-performance relational databases
  • In-memory caches (like Redis)
  • Big data analytics
  • Enterprise applications requiring large memory.

Introducing Amazon Machine Images (AMIs)

An Amazon Machine Image (AMI) is a special type of virtual appliance that serves as a template for launching EC2 instances.

It defines the initial state of an instance, including the operating system, pre-installed software, configuration settings, and data for the root volume.

AMI Components and Sources

An AMI typically includes:

  • A template for the root volume (e.g., OS, application server, applications).
  • Launch permissions that control which AWS accounts can use the AMI.
  • A block device mapping that specifies the volumes to attach to the instance.

You can use AWS-provided AMIs, AMIs from the AWS Marketplace, or create your own custom AMIs.

Building Your Own Custom AMI

Creating a custom AMI allows you to pre-configure an instance with your specific software, settings, and data, saving time during launch.

The process involves: launching an instance from an existing AMI, customizing it (installing software, configuring settings), and then creating a new AMI from that running instance. This captures its current state as a reusable template.

Why Use Custom AMIs?

Custom AMIs offer several significant advantages for managing your EC2 instances:

  • Consistency: Ensures all instances launched from it have identical, known configurations.
  • Faster Launches: Instances are ready to use immediately, as software is pre-installed.
  • Security Baselines: You can bake in security patches and hardening measures.
  • Disaster Recovery: Quickly launch instances with known good configurations after an event.

Best Practices for AMIs

To maximize the benefits of AMIs, consider these best practices:

  • Regular Updates: Keep your custom AMIs updated with the latest OS patches and software versions.
  • Minimalism: Include only necessary software to reduce the attack surface and launch time.
  • Automation: Use tools like AWS Image Builder to automate AMI creation and updates.
  • Documentation: Clearly document what's included in each custom AMI for easy management.

Quick Check: Instance Types

You're building a new backend service that will handle a high volume of concurrent requests and perform complex calculations. Which EC2 instance family would generally be the most suitable starting point?

Recap: Instance Types & AMIs

We explored EC2 instance types, understanding how different families (General Purpose, Compute, Memory, Storage) cater to specific workload needs.

We also learned about Amazon Machine Images (AMIs), their components, and the significant benefits of creating custom AMIs for consistent, fast, and secure deployments. Choosing the right instance type and leveraging custom AMIs are key for efficient cloud infrastructure.

Domande Frequenti

La lezione «Tipi di istanza EC2 e AMI» è gratuita?

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Cosa imparerò in «Tipi di istanza EC2 e AMI»?

Selezioni i tipi di istanza EC2 ottimali per carichi di lavoro specifici e crei Amazon Machine Image (AMI) personalizzate per deployment coerenti. Eserciti AWS for Backend Developers (EC2, S3, RDS, Lambda) con codice pratico che esegui direttamente nel browser, e un tutor IA 24/7 risponde alle tue domande mentre lavori sulla lezione.

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Tutte le lezioni di questo corso

  1. Tipi di istanza EC2 e AMI
  2. Implementazione degli Auto Scaling Group
  3. Bilanciamento del carico con ELB
  4. Spot Instance e calcolo a costi ridotti
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