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Serverless Backend with AWS Lambda & API Gateway · Lección

CodePipeline para implementaciones

Construya canalizaciones automatizadas de lanzamiento mediante AWS CodePipeline para orquestar compilaciones, pruebas e implementaciones.

CodePipeline para implementaciones es una lección gratuita de Serverless Backend with AWS Lambda & API Gateway en CoddyKit. Esta es la lección 2 de 4. Puedes leer la lección completa abajo gratuitamente — luego la practicas en el navegador con un editor de código integrado y un tutor de IA 24/7. Forma parte de la ruta de aprendizaje de Serverless Backend with AWS Lambda & API Gateway, y tu progreso se sincroniza en la web y la app de CoddyKit. El curso de Serverless Backend with AWS Lambda & API Gateway incluye 4 lecciones en total.

Partes de esta lección aún no han sido traducidas y se muestran en inglés.

Meet AWS CodePipeline

Welcome! In modern software development, automating releases is key. AWS CodePipeline helps you achieve Continuous Integration and Continuous Delivery (CI/CD) for your applications, including serverless ones.

CodePipeline is a fully managed service that automates your release process. It orchestrates the steps needed to get your code changes from a source repository through various stages and into production.

Why Use CodePipeline?

Automating your deployments with CodePipeline offers several benefits:

  • Faster Releases: Deliver new features and bug fixes to users quicker.
  • Improved Reliability: Standardized, automated processes reduce human error.
  • Consistent Deployments: Ensures every change follows the same path and checks.
  • Visibility: Track the status of your releases in real-time.

It acts as the central orchestrator for your serverless CI/CD.

Core Pipeline Stages

A CodePipeline typically consists of several stages, each with one or more actions. The most common stages are:

  • Source: Where your code originates (e.g., CodeCommit, GitHub).
  • Build: Where your code is compiled, tested, and packaged (e.g., CodeBuild).
  • Deploy: Where your application is deployed to AWS resources (e.g., CloudFormation, SAM).
  • Test: Where automated tests run to validate the deployed application.

These stages execute in a defined order, creating a workflow.

The Source Stage

The Source stage is the starting point of your pipeline. When you push new code to your repository, CodePipeline detects the change and automatically starts the pipeline.

Common source providers include AWS CodeCommit, GitHub, GitLab, and Amazon S3. For serverless applications, your source typically contains your Lambda code and serverless template (like a SAM template).

The Build Stage with CodeBuild

After the source code is retrieved, it moves to the Build stage. Here, AWS CodeBuild takes over. CodeBuild compiles your code, runs unit tests, and packages your serverless application artifacts.

For a serverless application, this often means creating a deployment package (a .zip file for Lambda) and preparing your AWS Serverless Application Model (SAM) template for deployment.

Buildspec for Serverless Apps

CodeBuild uses a buildspec.yml file in your source repository to define the build commands. Here's a common structure for a Python Lambda with SAM:

version: 0.2
phases:
  install:
    runtime-versions:
      python: 3.9
  build:
    commands:
      - echo "Building SAM application..."
      - sam build --template template.yaml --debug
artifacts:
  files:
    - '**/*'
  base-directory: .aws-sam/build

The Deploy Stage with SAM

The Deploy stage takes the artifacts produced by the build stage and deploys them to your AWS account. For serverless applications, this typically involves AWS CloudFormation, often orchestrated by AWS SAM.

CodePipeline can directly integrate with CloudFormation to execute a SAM template. It uses Change Sets to preview and safely apply infrastructure updates, minimizing risks.

Deployment Action Example

In CodePipeline, a deploy action for a SAM application might look like this (conceptually, configured in the pipeline definition):

  • Action Provider: CloudFormation
  • Action Mode: REPLACE_ON_FAILURE or CREATE_UPDATE
  • Stack Name: YourServerlessAppStack
  • Template Path: The path to your SAM template (e.g., build-artifact::template.yaml)
  • Capabilities: CAPABILITY_IAM (required for many serverless deployments)

This tells CodePipeline to update your CloudFormation stack based on the provided template.

Adding a Test Stage

While unit tests run in the Build stage, a dedicated Test stage in CodePipeline allows for broader validation after deployment. This could include:

  • Integration tests against the deployed API.
  • Smoke tests to ensure basic functionality.
  • End-to-end tests for critical user flows.

You can use another CodeBuild project or a Lambda function to execute these tests. If tests fail, the pipeline can stop the deployment.

Pipeline Check

Consider a serverless application deployed with AWS CodePipeline. Which of the following AWS services are commonly integrated into CodePipeline's stages for a typical serverless CI/CD workflow?

CodePipeline Recap

You've learned how AWS CodePipeline orchestrates your serverless application deployments. Key takeaways:

  • CodePipeline automates CI/CD from code commit to deployment.
  • It uses stages like Source, Build, and Deploy.
  • CodeCommit provides the source, CodeBuild performs builds (using buildspec.yml), and CloudFormation/SAM handles deployments.
  • Test stages ensure quality before production.

By leveraging CodePipeline, you create robust and repeatable deployment processes for your serverless applications!

Preguntas frecuentes

¿La lección «CodePipeline para implementaciones» es gratis?

Sí — el texto completo de «CodePipeline para implementaciones» es gratis para leer aquí en la web. Para practicarla de forma interactiva (editor de código integrado y tutor de IA 24/7) y desbloquear el resto del curso de Serverless Backend with AWS Lambda & API Gateway, actualiza a CoddyKit PRO. El curso de Serverless Backend with AWS Lambda & API Gateway incluye 4 lecciones en total.

¿Qué aprenderé en «CodePipeline para implementaciones»?

Construya canalizaciones automatizadas de lanzamiento mediante AWS CodePipeline para orquestar compilaciones, pruebas e implementaciones. Practicas Serverless Backend with AWS Lambda & API Gateway con código real que ejecutas directamente en el navegador, y un tutor de IA 24/7 responde tus preguntas mientras trabajas en la lección.

¿Necesito experiencia previa para empezar Serverless Backend with AWS Lambda & API Gateway?

No se requiere experiencia previa. Serverless Backend with AWS Lambda & API Gateway en CoddyKit está estructurado para principiantes hasta estudiantes avanzados, así que puedes empezar aquí o desde el inicio y avanzar a tu ritmo. Esta es la lección 2 de 4.

¿Cuánto tiempo toma la lección «CodePipeline para implementaciones»?

La mayoría de las lecciones de CoddyKit toman alrededor de 5–10 minutos. Cada una es compacta e interactiva, así que avanzas constantemente y retomas exactamente por donde dejaste en la web y la app.

¿Puedo escribir y ejecutar código en esta lección de Serverless Backend with AWS Lambda & API Gateway?

Sí. Cada lección de Serverless Backend with AWS Lambda & API Gateway incluye un editor de código integrado, así que escribes y ejecutas código real directamente en tu navegador y obtienes retroalimentación instantánea de IA — sin configuración local necesaria.

Todas las lecciones de este curso

  1. CodeCommit y CodeBuild
  2. CodePipeline para implementaciones
  3. Automatización de implementaciones serverless
  4. Despliegues seguros con canary y rollback
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