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

CodeDeploy para EC2/Lambda

Automatize implantações de código em instâncias EC2 e funções Lambda, garantindo tempo de inatividade mínimo e recursos de reversão.

CodeDeploy para EC2/Lambda é uma aula grátis de AWS for Backend Developers (EC2, S3, RDS, Lambda) no CoddyKit. Esta é a aula 2 de 4. Você pode ler a aula completa abaixo gratuitamente — depois pratica ao vivo no navegador com um editor de código integrado e um tutor de IA 24/7. Faz parte do caminho de aprendizado de AWS for Backend Developers (EC2, S3, RDS, Lambda), e seu progresso é sincronizado entre a web e o app CoddyKit. O curso de AWS for Backend Developers (EC2, S3, RDS, Lambda) inclui 4 aulas no total.

Partes desta aula ainda não foram traduzidas e aparecem em inglês.

Automating Deployments with CodeDeploy

Deploying applications can be tricky. Manual steps are error-prone and can cause downtime. AWS CodeDeploy automates this process for you!

  • It helps deploy applications to EC2 instances, AWS Lambda, and on-premises servers.
  • It minimizes downtime during deployments.
  • It provides options for easy rollbacks if something goes wrong.

CodeDeploy's Key Parts

CodeDeploy organizes your deployments using a few core components:

  • Application: A unique name to identify the application you want to deploy.
  • Deployment Group: A set of individual instances or a specific Lambda function to deploy to.
  • Revision: The source code, web pages, executables, and scripts you want to deploy, packaged into a file (e.g., zip, tar).

Deployment Strategies: In-place vs. Blue/Green

CodeDeploy supports different strategies to update your application:

  • In-place Deployment: Stops the application on each instance, deploys the new version, and restarts it. This might cause brief downtime.
  • Blue/Green Deployment: A new set of instances (Green) is provisioned with the new version. Traffic is then shifted from the old instances (Blue) to the Green ones. This minimizes downtime and risk.

Deploying to EC2 Instances

For EC2 deployments, CodeDeploy needs an agent installed on your instances. This agent handles the deployment tasks.

You define how the deployment happens using an appspec.yml file. This file tells CodeDeploy what files to copy, where to put them, and what scripts to run.

EC2 appspec.yml Structure

Here's a simple example of an appspec.yml for an EC2 deployment. It tells CodeDeploy to copy files and run a script.

version: 0.0
os: linux
files:
  - source: /
    destination: /var/www/html
hooks:
  AfterInstall:
    - location: scripts/start_server.sh
      timeout: 300
      runas: root

EC2 Deployment Lifecycle Hooks

Hooks are scripts that CodeDeploy runs at specific points during a deployment to an EC2 instance. They allow you to customize the deployment process:

  • BeforeInstall: Tasks before files are copied.
  • AfterInstall: Tasks after files are copied, like dependency installation.
  • ApplicationStart: Start your application service.
  • ValidateService: Check if the deployed application is working correctly.

Deploying Lambda Functions

CodeDeploy also simplifies deployments for AWS Lambda functions. It allows you to safely shift traffic between different versions of your function.

This is especially useful for canary deployments or gradual rollouts, ensuring your new function works as expected before taking all traffic.

Lambda appspec.yml Structure

For Lambda, the appspec.yml focuses on defining the function and how traffic should be shifted. Here's a basic example:

version: 0.0
resources:
  - TargetService:
      Type: AWS::Lambda::Function
      Properties:
        Name: "my-lambda-function"
        Alias: "live"
        CurrentVersion: "my-lambda-function-old-version"
        TargetVersion: "my-lambda-function-new-version"
hooks:
  - BeforeAllowTraffic: "LambdaValidationFunction"

Handling Failures and Rollbacks

CodeDeploy automatically monitors deployments. If a deployment fails (e.g., a hook script exits with an error), it can automatically roll back to the previous stable version.

  • You can also manually initiate a rollback.
  • It integrates with CloudWatch to monitor deployment health and trigger alarms.

CodeDeploy Concepts Check

Which CodeDeploy deployment strategy involves provisioning a completely new set of instances for the new application version, then shifting traffic?

CodeDeploy Recap

Great job! You've learned about AWS CodeDeploy, a powerful service for automating application deployments.

  • It manages deployments to EC2, Lambda, and on-premises servers.
  • You can choose between in-place or blue/green strategies.
  • The appspec.yml file defines deployment steps and hooks.
  • It supports automatic rollbacks and integrates with monitoring.

CodeDeploy helps ensure your applications are updated reliably and with minimal disruption.

Perguntas Frequentes

A aula “CodeDeploy para EC2/Lambda” é grátis?

Sim — o texto completo de “CodeDeploy para EC2/Lambda” é grátis para ler aqui na web. Para praticá-la interativamente (um editor de código integrado e um tutor de IA 24/7) e desbloquear o restante do curso de AWS for Backend Developers (EC2, S3, RDS, Lambda), atualize para CoddyKit PRO. O curso de AWS for Backend Developers (EC2, S3, RDS, Lambda) inclui 4 aulas no total.

O que vou aprender em “CodeDeploy para EC2/Lambda”?

Automatize implantações de código em instâncias EC2 e funções Lambda, garantindo tempo de inatividade mínimo e recursos de reversão. Você pratica AWS for Backend Developers (EC2, S3, RDS, Lambda) com código prático que executa diretamente no navegador, e um tutor de IA 24/7 responde suas dúvidas enquanto trabalha na aula.

Preciso ter experiência prévia para começar AWS for Backend Developers (EC2, S3, RDS, Lambda)?

Nenhuma experiência prévia é necessária. AWS for Backend Developers (EC2, S3, RDS, Lambda) no CoddyKit é estruturado para alunos iniciantes até avançados, então você pode começar aqui ou desde o início e aprender no seu ritmo. Esta é a aula 2 de 4.

Quanto tempo leva a aula “CodeDeploy para EC2/Lambda”?

A maioria das aulas CoddyKit leva cerca de 5–10 minutos. Cada uma é compacta e interativa, então você faz progresso constante e retoma exatamente de onde parou entre web e app.

Posso escrever e executar código nesta aula de AWS for Backend Developers (EC2, S3, RDS, Lambda)?

Sim. Cada aula de AWS for Backend Developers (EC2, S3, RDS, Lambda) inclui um editor de código integrado, então você escreve e executa código real direto no navegador e recebe feedback de IA instantaneamente — nenhuma configuração local necessária.

Todas as aulas deste curso

  1. Noções básicas de CodeCommit e CodeBuild
  2. CodeDeploy para EC2/Lambda
  3. Serverless Application Model (SAM)
  4. Infraestrutura como código com CloudFormation
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