How does this skill handle resource cleanup?

It implements the CleanupContainer pattern, ensuring that Docker containers are automatically removed after test execution, even if the test fails or crashes.

What are wait strategies and why are they important?

Wait strategies ensure your test doesn't start until the containerized service is fully initialized and ready to accept connections, preventing race conditions and flaky tests.

Does this skill support Podman?

Yes, Testcontainers for Go supports both Docker and Podman as providers for running containerized test dependencies, provided the socket is accessible.

What is Testcontainers for Go?

It is a Go library that provides lightweight, throwaway instances of common databases, message queues, or any service that can run in a Docker container for integration testing.

Why should I use modules instead of generic containers?

Modules provide production-ready defaults, specialized connection helpers, and battle-tested configurations for specific services like Postgres, Kafka, or Redis.

Testcontainers for Go

Name: Testcontainers for Go
Author: testcontainers

bytestcontainers

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Security & Testing

Automates the setup and management of Docker-based integration tests for Go applications using pre-configured modules and best practices.

About

This skill streamlines the process of writing reliable integration tests in Go by leveraging Testcontainers to spin up ephemeral Docker instances. It provides expert guidance on using over 62 pre-configured modules for databases like PostgreSQL and Redis, message queues like Kafka, and cloud services. By implementing industry-standard best practices for container lifecycles, wait strategies, and resource cleanup, it helps developers eliminate flaky tests and manual infrastructure setup, ensuring reproducible test environments across local machines and CI/CD pipelines.

Key Features

Automated container lifecycle management with robust resource cleanup patterns
8 GitHub stars
Implementation of reliable wait strategies to ensure services are ready before tests run
Support for advanced networking, volume mapping, and environment variable injection
Expert configuration for 62+ pre-configured modules including databases and message queues
Pre-configured patterns for snapshotting and restoring database states for test isolation

Use Cases

Running integration tests against real database instances instead of fragile mocks
Standardizing containerized test infrastructure across large development teams and CI environments
Testing microservice communications with ephemeral message brokers like Kafka or RabbitMQ

About

Key Features

Automated container lifecycle management with robust resource cleanup patterns
8 GitHub stars
Implementation of reliable wait strategies to ensure services are ready before tests run
Support for advanced networking, volume mapping, and environment variable injection
Expert configuration for 62+ pre-configured modules including databases and message queues
Pre-configured patterns for snapshotting and restoring database states for test isolation

Use Cases

Running integration tests against real database instances instead of fragile mocks
Standardizing containerized test infrastructure across large development teams and CI environments
Testing microservice communications with ephemeral message brokers like Kafka or RabbitMQ