Cloud DevOps Engineer
Self-taught, from IT support to DevOps. I work with Azure, IONOS, and VMware. Build the infrastructure, automate the repeatable bits, and make the logs useful.
Always curious.The scale and systems I have hands-on experience with, as part of an operations team.
A few things I build and operate. Professional examples are anonymised.
An observability platform I designed, built, and operate: metrics, central logging, custom collectors, and operational workflows managed as code.
40+ dashboards as code · millions of log lines a day
A production data centre migration to Azure and IONOS, with attention to continuity, sizing, and ongoing cost.
~20% lower IONOS costs through optimisation
Infrastructure as code and connected workflows for provisioning, configuration, and recurring operational tasks.
~70% of provisioning automated
A static portfolio with content in Git and a practical roadmap towards low-cost hosting and automated delivery.
All the tools at a glance. Open a technology to see how I use it.
Hybrid workloads, subscriptions, migrations, and operations.
Cloud migrations, provisioning, and cost optimisation.
Cluster operations, VM lifecycle, and performance diagnostics.
Identity and access management in Azure environments.
Repeatable cloud provisioning and infrastructure changes.
Configuration automation and platform deployment.
Repositories, pipelines, and self-hosted lab agents.
Azure infrastructure as code.
Operational scripts, auditing tools, and API integrations.
Dashboard design, platform integration, and dashboards as code.
Metrics collection and infrastructure visibility.
Log collection, processing, and operational diagnostics.
Logs, tracing, and telemetry integrations.
Monitoring operations and integration with custom reporting.
Production diagnostics and platform practice in the lab.
A lightweight Kubernetes environment for lab work.
GitOps workflows in the HomeLab.
Container workflows and versioned engineering work.
Debian, Ubuntu, CentOS, RHEL, and Oracle Linux.
Identity, GPO, DNS, DHCP, and business infrastructure.
Firewall management and day-to-day network operations.
Network security and networking exposure.
Database support and first-line troubleshooting.
Incident response, change workflows, and on-call operations.
Code generation, investigation, and documentation, with engineering ownership.
Operational workflows connecting monitoring and collaboration tools.
Local models and agent workflows in the lab.
Retrieval experiments for local AI workflows.
Some exposure or ongoing lab exploration.
Practical implementation and troubleshooting.
My main areas of engineering practice.
A working self-assessment, evolving with each project.
A smaller platform for delivery, recovery, and local AI experiments. Rebuilding around VMware and Azure DevOps, one checked component at a time.
Amiga, PC builds, IT support, then DevOps. I got here through work, self-study, and a lot of figuring things out.
Next: platform engineering, cloud architecture, and AI engineering.
I started working young, and growing up was not always easy. I built my way into IT through practice, self-study, and persistence. No computer science degree. Plenty of time figuring things out.
I am continuing my education alongside the work. More cloud, more security, better automation. There is still a lot I want to learn and build.
Husband and dad of three. Family comes first. The lab, the books, and the next project fit around that.
Photos, strategy games, books, and jazz. Usually with coffee nearby.
Notes from the lab and the workbench.
From around 30 Hyper-V VMs to a smaller platform built around delivery, observability, recovery, and AI experiments. The first HomeLab 3.0 update.
By Paweł PiwowarLet's connect
Hybrid cloud, observability, automation, or an interesting engineering challenge.