This repository is the official build infrastructure for .NET Docker images. It generates, tests, and publishes Docker images for .NET SDK, runtime, ASP.NET Core, and related tools (monitor, Aspire Dashboard) across multiple operating systems (Alpine, Ubuntu, Debian, Azure Linux, Windows) and architectures (amd64, arm64v8, arm32v7). The core of the system is a template engine (Cottle) that produces Dockerfiles from parameterized templates, combined with a comprehensive test suite that validates generated artifacts against approved baselines and verifies image behavior at runtime. The repository also includes a sophisticated dependency update tool (C# CLI) that automatically updates .NET versions, PowerShell, Syft, Chisel, and other dependencies by fetching release information from GitHub, Azure DevOps, and internal build services, then creating pull requests against the repository. The CI/CD pipeline (Azure Pipelines) orchestrates building, testing, signing, and publishing images to Microsoft Container Registry and other registries. Sample applications demonstrate common .NET deployment patterns in Docker and Kubernetes. Architecture: The system is organized into several layers: (1) Dockerfile templates in `eng/dockerfile-templates/` that generate the actual Dockerfiles in `src/`; (2) a dependency update tool in `eng/update-dependencies/` that automates version bumps; (3) a test suite in `tests/` that validates generated artifacts and image behavior; (4) pipeline definitions in `eng/pipelines/` and `eng/docker-tools/` that orchestrate CI/CD; and (5) sample applications in `samples/` for testing and documentation. Key entry points include the update-dependencies CLI (`Program.cs`), the test runner (`run-tests.ps1`), and the pipeline YAML files. External dependencies include Azure DevOps (pipelines, blob storage), GitHub (releases), and various package registries. Data flows: Version metadata flows from `manifest.json` and `manifest.versions.json` into the template engine to generate Dockerfiles with correct version numbers and checksums. The update-dependencies tool fetches new versions from external sources (GitHub releases, Azure DevOps pipelines, BAR service) and updates the manifest files, then creates pull requests. The test suite reads the manifest to build a test matrix, builds Docker images from the generated Dockerfiles, and runs validation tests (package lists, environment variables, HTTP endpoints).
This repository provides Docker images and deployment configurations for running Thumbor, an open-source photo thumbnail service. It builds three main components: the core Thumbor image service, an nginx-based caching proxy (nginx-proxy-cache), and a remote computer vision service (remotecv) for asynchronous smart cropping and feature detection. The project includes build scripts, CI/CD workflows, testing infrastructure, benchmarking tools, and deployment recipes (docker-compose and Kubernetes) to facilitate easy deployment and scaling of Thumbor-based image processing systems. The architecture follows a microservices pattern where Thumbor handles image processing, nginx-proxy-cache provides caching and reverse proxying, and remotecv offloads heavy computer vision tasks.