Pipeline setup from scratch
New GitLab CI/CD pipelines for applications, scripts and infrastructure. From the first validation through automated checks to the controlled execution of deployments and infrastructure changes.
CI/CD & deployment automation
Ansible code and configurations are managed under version control and executed automatically via CI/CD. GitLab runners handle checks, validations and the execution of playbooks, so changes reach your environment in a controlled, reproducible way.
Services in detail
New GitLab CI/CD pipelines for applications, scripts and infrastructure. From the first validation through automated checks to the controlled execution of deployments and infrastructure changes.
Manual server changes, recurring configurations and deployments are gradually replaced by automated, reproducible processes. Changes become traceable and safe.
Syntax checks, linting and infrastructure validations are integrated as fixed parts of the pipeline. Errors in playbooks, configurations or changes are caught before they reach production systems.
Credentials don't belong in scripts or repositories. I help with the secure management of secrets, variables and permissions, and with cleanly separating development, test and production environments.
Analyse and improve existing CI/CD processes: speed up slow jobs, remove unnecessary steps and create more reliable pipelines through better structure, caching and parallel execution.
CI/CD for infrastructure: Ansible playbooks are version-controlled, automatically checked and executed in a controlled way. Server configurations, updates and recurring tasks become reproducible, documented and traceable at any time.
Not only server configurations but also recurring operational routines can be automated. For example the automatic creation and updating of tickets, commissioning of new systems, decommissioning of old servers, status notifications, approval processes or regular restore tests.
Process
We start by looking at the current environment: How are changes implemented today? Which steps are manual? Where do errors or unnecessary effort occur? From this we determine which processes are best suited for automation.
We start with a concrete, manageable use case – for example an Ansible role for a server configuration, an automated deployment, a patch process or the integration of an existing workflow via an API.
The CI/CD pipeline is set up and takes over the automated steps: validations, syntax checks, linting, tests and the controlled execution of playbooks or deployments. Changes then run through a single, traceable process.
After successful testing, the process is extended to production systems. Permissions, secrets, approvals and recovery paths are taken into account so changes can be rolled out safely and in a controlled way.
Via APIs and interfaces, additional routines can be automated – for example ticket creation, notifications, provisioning, decommissioning or regular restore tests.
All pipelines, playbooks and automations are documented and version-controlled. Further systems and processes can then be integrated and extended following the same pattern.
When is it worth it?
A well-built CI/CD pipeline turns manual, error-prone routines into a controlled process. Changes are checked, documented and executed reproducibly.
The result: fewer unplanned errors, faster delivery of changes and an infrastructure that can be operated and evolved safely as a team.
Collaboration is fully remote – worldwide. For clients in the Cologne, Bonn and Brühl area, on-site appointments are also possible by arrangement.
FAQ
The effort depends on the existing setup and the desired degree of automation. A first use case – for example a pipeline for Ansible playbooks, infrastructure changes or automated deployments – can often be implemented as a manageable project. Extensions of existing pipelines or individual automations start correspondingly smaller.
Larger projects such as standardizing several environments or integrating permissions, secrets or complex workflows are planned and implemented individually. The initial assessment is free.
The focus is on GitLab CI/CD combined with Git, Ansible, Docker and Bash/Python scripts. Depending on the requirements, APIs and existing tools are integrated as well to automate operational processes and recurring routines.
I analyse and optimize existing CI/CD environments regardless of which platform is currently in use.
Yes. Small teams in particular benefit when recurring routines don't depend on individual people. Even simple automations – for example checking configurations, running Ansible playbooks or standardized deployments – reduce errors and create more confidence in day-to-day operations.
Yes. Existing processes don't have to be replaced completely right away. Automations are introduced step by step, tested and then taken over into regular operation.
That way, individual server configurations, patch processes, provisioning or operational routines can be automated one after another – without a risky complete switch.
Yes. CI/CD can be used together with APIs and automation tools to simplify recurring IT processes. Examples include the automatic creation of tickets, notifications, system provisioning, decommissioning, and regular verification and restore processes for backups.
Contact
Briefly outline how code reaches production today and where it hurts. Within 24 hours you'll get an honest assessment of effort, implementation and benefit – free and non-binding.