Once an application consists of several containers, the chosen communication pattern determines the stability, coupling and fault tolerance of the entire system. From direct name resolution through sidecar and ambassador patterns to asynchronous message queues, this article shows which pattern fits which requirement.
Image promotion describes how an already built Docker image moves in a controlled way from staging to production, without being rebuilt. Retagging, digest pinning and manual approvals replace the fragile reflex of simply rebuilding on every deploy and hoping nothing changed.
Production problems in Docker containers call for precise tooling, not guesswork. With exec, inspect, stats, top and events you can fully examine the processes, configuration, memory and events of a running container, with no restart and no data loss.
Not every file a container writes should outlive the container's lifecycle, especially when it comes to decrypted secrets, session tokens, or temporary encryption keys. tmpfs mounts keep such data exclusively in memory, so it never gets written to the host's disk, making them a simple yet effective security tool for Docker containers.
Fluctuating build load is the norm: barely any pipelines at night, a flood of merge request pipelines in the afternoon. Static runner provisioning either wastes money or produces queue times, autoscaling solves both.
Using PHPUnit in PhpStorm is trivial when PHP is installed locally. With Docker interpreters, Magento-specific bootstrap files and integration tests that require a running database, the configuration becomes more complex. This guide shows how to solve each of these cases cleanly.
A 1.2 GB Docker image is not a sign of completeness, it is a sign of missing optimization. Multi-stage builds, precise layer order, a well thought out .dockerignore and the right choice of base image make the difference between a lean, fast CI build and a deployment bottleneck.
The :latest tag obscures which code is actually running in a container and turns rollbacks into guesswork. Combined sensibly, SemVer, Git SHA, and date tags make every deploy traceable and reproducible.
Every deployment without a clear strategy is a gamble with availability. Blue-Green and rolling deployments solve that problem differently, but both rely on container health checks, clean routing, and atomic switchovers. This article shows when each strategy fits and how to implement it concretely with Docker Compose and Traefik.
A well-designed system of issue templates and labels turns vague bug reports into traceable, prioritizable tickets and turns quick actions like /label and /assign into a genuine automation tool for everyday work.