Practical two-day seminar on effectively using AI tools and systems in DevOps. Covers AI coding assistants for infrastructure as code and pipelines, prompt and context engineering for operations tasks, embedding LLM APIs into CI/CD automation, agentic workflows with MCP, AI-powered observability and incident response, and the governance, security, and compliance guardrails needed to operate AI safely at scale.

Three-day deep-dive for experienced Puppet practitioners: expert-level architecture and scalability design, environment strategies, code deployment with r10k, operational observability, advanced language patterns, professional module design, the full Puppet toolchain, comprehensive testing strategies, Ruby for Puppet developers, custom facts with Facter, custom types and providers, Puppet Tasks and Plans with Bolt, security hardening of Puppet environments, and performance optimisation at scale.

Aufbau und Optimierung kontinuierlicher Integration und Delivery mit GitLab CI/CD: Pipelines, Runner, Stages, Sicherheitscans und Deployment-Strategien für reale Softwareprojekte.

Comprehensive three-day hands-on training covering container fundamentals, Docker administration, image building and security, Kubernetes architecture and key resources, Helm package management, Kubernetes RBAC and security hardening, backup strategies, and cluster monitoring.

Practical two-day DevOps training covering culture, Git branching strategies, CI/CD pipelines, GitHub Actions, GitLab CI, deployment patterns, secrets management, Docker in CI, monitoring and observability, and GitOps.

Comprehensive Git training covering everything from version control fundamentals to advanced internals: the three-tree architecture, branching and merging, common workflows, remote collaboration, debugging and history management, advanced features (rebase, cherry-pick, stash), enterprise practices, Git internals (objects, refs, the plumbing layer), integration with IDEs and CI/CD, and optimisation best practices.

Vertiefen Sie das GitOps-Paradigma mit ArgoCD: deklarative Deployments, automatische Synchronisation, Rollbacks und Multi-Cluster-Betrieb aus einer zentralen Quelle heraus.

Comprehensive Kubernetes training covering architecture fundamentals, workload primitives, networking, configuration and storage, security (RBAC, PSA, Network Policies, image signing), Helm package management, GitOps and CI/CD delivery, scaling, high availability, observability, performance optimisation, and troubleshooting.

Five-day hands-on course for C/C++ developers on Linux: the full compilation pipeline (GCC, Clang, assembly, linking), static and shared libraries, build systems (Make, CMake), debugging (GDB, Valgrind, AddressSanitizer), system calls and memory management, file system APIs, process management and IPC, signals, POSIX threads, thread synchronisation, socket programming, and I/O multiplexing.