06 / Platform & data
Repeatable deployments and a cloud you actually control
I automate the path from code to production and bring order to infrastructure: CI/CD pipelines, Docker and Terraform, monitoring, backups and AWS costs.
If releasing a new version is a manual procedure only one person knows, and Friday-afternoon deployments are banned out of fear, your infrastructure is holding the product back. Every release costs nerves, defects reach production unnoticed, and nobody can explain why the code behaves differently on a laptop than on the server.
I fix this hands-on: I build CI/CD pipelines, containerize applications, describe infrastructure as code and set up monitoring that reports a problem before a customer does. I don't advise from the sidelines. You talk directly to the person who configures the infrastructure and stands behind it.
My approach is pragmatic: I pick the simplest setup that meets the requirements instead of deploying Kubernetes where a single container will do. The working standards come from projects delivered in enterprise environments, including data platforms connected with organizations such as PwC, Roche and E.ON, and I apply them at every scale.
What the service covers
CI/CD and deployment automation
Pipelines that build, test and deploy the application automatically on every code change. No more copying files to the server by hand or releases that are “safer at night”.
- CI/CD pipelines in GitHub Actions (build, test, deploy)
- Automated deployments to staging and production
- Environment separation and configuration (dev, staging, production)
- Safe rollback strategies
Containerization and infrastructure as code
I package applications in Docker containers and describe infrastructure in Terraform. Environments become identical and reproducible, infrastructure changes go through code review, and “works on my machine” stops being an argument.
AWS configuration and architecture
I configure AWS accounts and services from scratch or review an existing architecture: services matched to real needs, least-privilege permissions and cost control instead of invoice surprises.
- AWS service configuration: S3, Glue, Redshift and more
- IAM permissions and access on a least-privilege basis
- Architecture review for cost and reliability
- Secret-management recommendations
Monitoring, logging and backups
I set up monitoring and centralized logging (CloudWatch among others) with alerts that reach the right people, plus a backup strategy with a tested restore procedure, because a backup nobody has ever restored is just a hope.
Production readiness and hands-on troubleshooting
A review of the system before it goes live: security, performance, failure resilience and what-if procedures. I also help ad hoc, when something in the cloud is broken and nobody on the team knows why.
Typical situations
- 01
Releasing a new version is a manual, multi-step procedure known to exactly one person, and that person is about to go on holiday.
- 02
A startup before launch: the app runs fine on the developer's machine, but nobody has checked whether it will survive production and real users.
- 03
The cloud bill grows month after month and nobody in the company can say what you are actually paying for.
- 04
You learn about production outages from customers, because the system has no monitoring and no usable logs.
What you can count on
Releases reduced to a single click: repeatable, automatically tested and reversible.
Infrastructure described as code, rebuildable from scratch, with every change visible in history like any application change.
Monitoring and alerting set up so you know about a problem before customers notice it.
Documentation and a knowledge handover to your team, so the infrastructure never depends on one person, myself included.
Technologies
- AWS
- Amazon S3
- AWS Glue
- Amazon Redshift
- AWS IAM
- Amazon CloudWatch
- Docker
- Terraform
- GitHub Actions
Questions about this service
Usually not. For most small and mid-sized company applications, a simpler setup of Docker containers and well-configured managed services is cheaper to run and easier to understand. I propose the simplest solution that meets the requirements and tell you honestly at what point you would outgrow it.
AWS is where my experience runs deepest. That said, a large part of this work, including CI/CD, Docker, Terraform and deployment practice, is cloud-agnostic. If your infrastructure runs elsewhere, I will tell you plainly in the first conversation what I can help with and what I would not take on.
Often yes, though I never promise percentages before a review. I analyze what you are actually paying for: unused resources, oversized instances, data kept in expensive storage classes. You get a list of potential savings with a risk assessment for each change, and you decide which ones we make.
Both work. The typical path is a review, implementation and a knowledge handover, after which the infrastructure is yours and does not require me. Some companies keep me on for ongoing infrastructure care. I work remotely with companies across Poland.
Related services
Let's talk about your deployments and your cloud
The consultation is free: you describe how code gets to production today, and I tell you what I would fix first, why, and how much work it takes.
- Phone
- +48 573 021 012