Environments that drift
Different runtime versions in development, staging and production, so bugs appear in only one of them.
[ Servers & DevOps / Docker & Containers ]
Containers only pay off when they are done properly — small images, no secrets baked in, and a local setup developers actually want to use. Done badly they add a layer of confusion on top of the problem you started with.
Usually 1-2 weeks · Local setup included · Fixed price
[ Why bother ]
Not everything needs containers. These are the specific problems they genuinely fix.
Different runtime versions in development, staging and production, so bugs appear in only one of them.
A new developer loses two days installing dependencies before writing a single line of code.
Deployment tied to a specific machine's configuration, so moving providers means rebuilding everything.
No way to run more of a single component without duplicating the whole machine.
Two applications on one server needing incompatible versions of the same library.
Already containerised, but with multi-gigabyte images and build times that kill the pipeline.
[ How it works ]
An honest look at whether containers help you. If your application is a single monolith on one server that never scales, I will tell you to save the money.
Multi-stage builds, a local development setup with hot reload, configuration through environment variables and secrets injected at runtime.
Deployed to the target platform with health checks, resource limits and logging, plus documentation covering build, run and debug.
[ What actually changes ]
The goal is a setup a new developer can run in one command and an operator can deploy without reading the source code.
[ Example engagement ]
A legacy application with a twelve-page setup document, containerised with a Compose environment and multi-stage production images.
Illustrative example of a typical engagement. Figures vary with the state of your systems and are not a guarantee of a specific outcome.
[ Free · honest answer ]
Tell me about your application and deployment setup. If containers will not help you, I will say so and suggest what would instead.
[ Pricing ]
Tell me the number you have to work with. I'll tell you honestly what's achievable within it — and if it isn't enough, I'll say so before we start rather than halfway through.
Scope agreed in writing, price agreed in writing, before any work starts. No hourly creep and no invoice you haven't already approved.
For ongoing work — maintenance, monitoring, updates and small changes. Month to month, cancel whenever, no minimum term.
For a single bug or a short task where writing a full scope would cost more than simply doing the work.
Budget too tight for the whole thing? I'll often suggest doing the highest-value part first and the rest later, rather than doing all of it badly.
[ Questions ]
Most teams do not. Kubernetes is powerful and genuinely expensive to operate well. Unless you are running many services with a team able to maintain it, Compose or a managed container service will serve you better.
Not directly. What they improve is consistency, onboarding and deployment. Performance gains usually come indirectly, from being able to scale individual components instead of whole servers.
Usually yes, including older PHP, Python and Node applications. Occasionally something depends on the host in a way that makes it a poor fit, and I will tell you early rather than after you have paid.
Databases run in containers well for local development. In production I generally recommend a managed database service, because backups, failover and patching are solved problems not worth re-solving.
Yes, that is included — deployed to your chosen platform with health checks and logging wired up, not just handed to you as a Dockerfile.
[ Related services ]
[ Let's talk ]
Describe it in a few lines and you'll get a straight answer on scope, cost and timeline โ same working day, from the person who'd actually build it.