Best of Containers — February 2026

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   Article

   HelixML·13w

   How We Made Docker Builds 193x Faster: From 45 Minutes to 14 Seconds

   Helix reduced Docker build times from 45 minutes to 14 seconds (193x faster) for AI coding agents running in isolated desktop containers. The solution involved three layered optimizations: (1) a transparent Docker wrapper that intercepts build commands and skips image loading when the image digest hasn't changed; (2) a shared BuildKit instance with persistent cache across agent sessions, combined with a local Docker registry for layer-level deduplication instead of full tarball transfers; and (3) a 'golden cache' system that snapshots the entire /var/lib/docker directory after a successful build on main, then copies it (via cp -a) into new sessions so they start pre-populated. The wrapper also intercepts docker compose build, which bypasses the CLI and would otherwise miss the optimizations. Warm starts went from 45 minutes to 23 seconds, cold starts from 45 minutes to 14 seconds, and incremental single-layer rebuilds to ~1 second per image.

   78

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2. 2
   Article

   CNCF·15w

   Dragonfly v2.4.0 is released

   Dragonfly v2.4.0 introduces a load-aware two-stage scheduling algorithm and a new Vortex protocol that reduces large file download times by 40-50% compared to gRPC. The release deprecates the Go client in favor of a Rust client, adds simplified multi-cluster Kubernetes deployment with scheduler cluster IDs, and implements task ID calculation based on image blob SHA256 to prevent redundant downloads. Additional improvements include enhanced preheating with IP-based peer selection, HTTP 307 redirect caching, performance optimizations for Manager and Scheduler components, and various bug fixes. Nydus enhancements include CRC32 validation support and Nydus-to-OCI reverse conversion capability.

   44
3. 3
   Article

   freeCodeCamp·15w

   How to Dockerize Your Application and Deploy It

   Docker packages applications with all dependencies into containers that run consistently across environments. This guide walks through containerizing a FastAPI-based LogAnalyzer Agent by writing a Dockerfile, building an image, handling environment variables securely, testing locally, and deploying to Sevalla cloud platform via DockerHub registry. The process transforms a local Python application into a production-ready service.

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