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Training is useful when your team can apply it in its own environment. To that end, we agree the scope and learning outcomes with you before the training.
Topics
- Kubernetes and cluster operations (resource management, networking, storage, upgrades)
- CI/CD, GitOps and reversible deployment strategies
- Finding problems by reading metrics, logs and traces together
- DevSecOps and software supply chain security
- SRE practice with SLOs, error budgets and incident response
- MLOps flow: experiment tracking, model registry and model serving
- LLM platforms with RAG, evaluation sets and cost control; AI agent development
How we prepare the content
Role and level assessment
We align on participants' current experience, roles and target learning outcomes.
Stack customization
We adapt exercises and scenarios to the cloud platform, languages and tools your team uses every day.
Hands-on lab environment
Every participant gets a dedicated lab environment to practice real failure, rollback and recovery scenarios.
After the training
- Sample repositories and reference configurations
- Practical runbooks and checklists
- Follow-up session addressing questions from your own environment
Other services
Software and project development
We build enterprise web applications, APIs and new product modules with end-to-end project ownership from analysis to production release.
Dedicated specialists and teams
We support your teams with dedicated specialists or set up dedicated teams that take end-to-end ownership for your product.
Architectural consulting
We assess your applications' architecture, build roadmaps, and work with your team on architectural decisions and design or code reviews.
AI agent development
We build agents connected to your systems to reduce repetitive support, document and data work. We define data access and human approval steps upfront.