CodePipeline per le distribuzioni
Costruisca pipeline di rilascio automatizzate usando AWS CodePipeline per orchestrare compilazioni, test e distribuzioni.
CodePipeline per le distribuzioni è una lezione Serverless Backend with AWS Lambda & API Gateway gratuita su CoddyKit. Questa è la lezione 2 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 Serverless Backend with AWS Lambda & API Gateway, e i tuoi progressi si sincronizzano tra il web e l'app CoddyKit. Il corso Serverless Backend with AWS Lambda & API Gateway include 4 lezioni in totale.
Parti di questa lezione non sono ancora state tradotte e vengono mostrate in inglese.
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/buildThe 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!
Domande Frequenti
La lezione «CodePipeline per le distribuzioni» è gratuita?
Sì — il testo completo di «CodePipeline per le distribuzioni» è gratuito qui sul web. Per esercitarvi in modo interattivo (un editor di codice integrato e un tutor IA 24/7) e sbloccare il resto del corso Serverless Backend with AWS Lambda & API Gateway, passa a CoddyKit PRO. Il corso Serverless Backend with AWS Lambda & API Gateway include 4 lezioni in totale.
Cosa imparerò in «CodePipeline per le distribuzioni»?
Costruisca pipeline di rilascio automatizzate usando AWS CodePipeline per orchestrare compilazioni, test e distribuzioni. Eserciti Serverless Backend with AWS Lambda & API Gateway con codice pratico che esegui direttamente nel browser, e un tutor IA 24/7 risponde alle tue domande mentre lavori sulla lezione.
Ho bisogno di esperienza per iniziare Serverless Backend with AWS Lambda & API Gateway?
Non è richiesta alcuna esperienza precedente. Serverless Backend with AWS Lambda & API Gateway su CoddyKit è strutturato per principianti e studenti avanzati, quindi puoi iniziare da qui o dall'inizio e procedere al tuo ritmo. Questa è la lezione 2 di 4.
Quanto tempo richiede la lezione «CodePipeline per le distribuzioni»?
La maggior parte delle lezioni CoddyKit richiede circa 5–10 minuti. Ogni lezione è breve e interattiva, quindi fai progressi costanti e riprendi esattamente da dove hai lasciato su web e app.
Posso scrivere ed eseguire codice in questa lezione Serverless Backend with AWS Lambda & API Gateway?
Sì. Ogni lezione Serverless Backend with AWS Lambda & API Gateway include un editor di codice integrato, quindi scrivi ed esegui codice reale direttamente nel tuo browser e ricevi feedback istantaneo dall'IA — nessuna configurazione locale necessaria.
Tutte le lezioni di questo corso
- CodeCommit e CodeBuild
- CodePipeline per le distribuzioni
- Automazione delle distribuzioni serverless
- Deployment sicuri con canary e rollback