I support companies in building and operating modern automation platforms — from CI/CD and infrastructure automation to orchestrated business and system workflows. Using proven tools and methodologies, I make deployments, integrations, and long-running processes reproducible, traceable, scalable, and resilient in production.
What Friedrichs IT delivers
Production-ready automation across delivery pipelines, infrastructure, and orchestrated workflows — designed to reduce manual coordination, improve traceability, and make complex operations reliable at scale.
Workflow Orchestration
I design and implement orchestrated workflows for business and system processes across APIs, services, and asynchronous events. Using platforms such as Camunda or Temporal, I model long-running processes with retries, timers, approvals, and failure handling — making automation transparent, resilient, and ready for production.
CI/CD Pipelines
I implement automated delivery workflows with GitHub Actions, GitLab CI, Jenkins, or Bamboo — from build and test to deployment and release promotion. The focus is not only on speed, but on reproducibility, traceability, and stable quality gates across environments.
Containers & Infrastructure
I provide reproducible runtime environments with Docker, Kubernetes, and Helm, combined with infrastructure as code using Terraform or Pulumi. This creates scalable and repeatable platforms that reduce drift, simplify operations, and support reliable delivery in production.
Cloud Computing
I design and operate scalable cloud environments for modern application platforms and automated delivery processes. This includes cloud-native setups across AWS and Google Cloud, with a strong focus on reproducibility, cost awareness, operational stability, and clean integration into CI/CD and infrastructure workflows.
How I can help
- Build and optimize CI/CD pipelines for fast, reliable, and traceable software delivery.
- Design and automate cross-system workflows with tools such as Camunda and Temporal.
- Set up reproducible container and cloud platforms with Kubernetes and infrastructure as code.
- Improve operational reliability with scalable environments, automated processes, and production-ready delivery setups.
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