One-click-to-production: Test and automate your application

What if you could deploy to production with a single click, without fear? Learn to build a fully automated testing pipeline that makes it possible.

#1about 5 minutes

Automating deployments to avoid production failures

A live demo showcases a CI/CD pipeline that automatically fixes a bug and deploys the change to a production environment.

#2about 3 minutes

Writing foundational unit tests with mocks and stubs

Unit tests verify isolated behavior by using test doubles like stubs for inputs and mocks for outputs via dependency injection.

#3about 5 minutes

Implementing integration and end-to-end tests

Integration tests verify component connections using tools like Mock Service Worker for network interception or JSON Server for a fake API.

#4about 7 minutes

Enforcing architectural patterns with automated tests

Architecture tests prevent code smells like a "big ball of mud" by programmatically enforcing design rules and dependency constraints.

#5about 3 minutes

Ensuring API compatibility with contract tests

Consumer-driven contract testing uses frameworks like Pact to verify interactions between services without requiring full end-to-end integration.

#6about 4 minutes

Using static analysis and quality gates for code quality

Automated static analysis tools check for code coverage, linting errors, and security risks to enforce quality gates before merging.

#7about 3 minutes

Building a CI/CD pipeline with GitHub Actions

GitHub Actions uses declarative YAML files to automate the entire workflow of building, testing, and deploying an application to platforms like Heroku.

#8about 2 minutes

Balancing speed and reliability in your test strategy

The choice of when to run different tests, such as on each pull request or nightly, involves a trade-off between feedback speed and test thoroughness.