SlimToolkit minifies and secures container images by up to 30x without requiring changes to your Dockerfile or workflow.
SlimToolkit (formerly DockerSlim) is a CNCF Sandbox project that optimizes container images by analyzing applications to remove unnecessary files and dependencies, significantly reducing image size and attack surface. It also simplifies container security by automatically generating Seccomp and AppArmor profiles, making containers both smaller and more secure without requiring changes to existing Dockerfiles or workflows.
Developers and DevOps engineers who build and deploy containerized applications and want to reduce image size, improve security, and maintain existing tooling. It is particularly useful for teams using multi-language stacks like Node.js, Python, Ruby, Java, Go, Rust, Elixir, PHP, and Haskell across various base images.
Developers choose SlimToolkit because it automates container optimization and security hardening without requiring manual Dockerfile tweaks or expertise in Linux security profiles. Its unique selling point is combining static and dynamic analysis to achieve up to 30x image reduction while auto-generating security profiles, all while preserving existing base images and package managers.
Slim(toolkit): Don't change anything in your container image and minify it by up to 30x (and for compiled languages even more) making it secure too! (free and open source)
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Reduces container sizes by up to 30x or more, as shown with examples like Go images shrinking from 700MB to 1.56MB.
Auto-generates Seccomp and AppArmor profiles without manual effort, simplifying container security configuration.
Works with Node.js, Python, Ruby, Java, Go, Rust, Elixir, PHP, and Haskell across Ubuntu, Debian, Alpine, and other bases.
Optimizes containers without changing Dockerfiles or package managers, preserving existing development tools.
Requires manual tuning with flags like --http-probe and --include-path for apps with dynamic dependencies, increasing setup complexity.
Can remove necessary files if not configured properly, leading to runtime failures, as noted in the FAQ for Nginx and other issues.
Dynamic analysis involves running containers during build, adding significant time compared to static optimization methods.