A utility to generate config files, tail logs, and wait for dependencies when running applications in Docker containers.
dockerize is a utility that simplifies running applications in Docker containers by handling initialization tasks. It generates configuration files from environment-aware templates, tails application logs to standard output, and waits for dependent services like databases or web servers to be ready before starting the main process. It solves common containerization issues like configuration injection and service dependency races.
Developers and DevOps engineers building Dockerized applications who need dynamic configuration, log aggregation, or service readiness checks without writing custom shell scripts. It's particularly useful for those using Docker Compose or multi-container setups.
Developers choose dockerize because it consolidates common container initialization patterns into a single, lightweight binary. It eliminates boilerplate shell scripts, provides robust templating with Sprig functions, and offers cross-platform support, making container configuration more declarative and maintainable.
Utility to simplify running applications in docker containers
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Uses Go templates with Sprig functions to generate config files from environment variables, enabling complex, runtime-specific configurations without manual scripting, as shown in the template examples.
Tails multiple log files to stdout/stderr, making application logs accessible via docker logs and simplifying debugging, with support for multiple files like nginx access and error logs.
Waits for services on TCP, HTTP, Unix sockets, or files before app startup, preventing race conditions in multi-container setups, with configurable timeouts and retry intervals.
Offers pre-built binaries for Linux, macOS, and Windows across various architectures, ensuring compatibility in diverse development and deployment scenarios, as listed in the installation table.
Incompatible with older versions (e.g., v0.6.1) due to changes in template functions, requiring careful migration and potential template rewrites, as warned in the README.
Requires downloading and installing the binary in Docker images, which can complicate Dockerfiles and increase image size, especially in minimal base images without curl or wget.
For scenarios needing complex initialization beyond templating and waiting, such as custom health checks or service registration, users may still need to write supplementary scripts.