7 posts
!hero-banner AI coding agents consume tokens in ways that are difficult to see. A single request in Claude Code can start a subagent, and that subagent can call...
Amazon Managed Workflows for Apache Airflow (MWAA) sends Airflow metrics to Amazon CloudWatch without any setup. Airflow v2 and v3 environments are preconfigure...
Run MCP servers as isolated containers behind the Docker MCP Gateway, keep secrets out of config files, harden your own tool servers, and build an agent in Compose that can only reach the tools you approved.
Run open models locally with Docker Model Runner, call them through an OpenAI-compatible API from your Compose services, and switch to a cloud provider in production by changing two environment variables.
Add vulnerability gating, SBOM and provenance attestations, and keyless signing to a GitHub Actions pipeline using Docker Scout, BuildKit and Cosign, with policies that fail the build only when it matters.
Use docker init to generate a production-grade Dockerfile and Compose file in a minute, then use Compose Watch to sync, restart or rebuild on save so the container inner loop is as fast as running locally.
Stand up a complete Grafana, Prometheus, Loki and Tempo observability stack next to your app with one docker-compose file, and wire metrics, logs and traces together so you can jump between them.