DevOps and engineering operations
We help teams release and support software more reliably: CI/CD, environments, monitoring, logging, and support practices for LLM/AI solutions.
More reliable releases, clearer service support, and a prepared setup for applications and LLM systems.
What is included
- CI/CD, Docker / Kubernetes
- Monitoring, logging, observability
- Platform engineering
- LLMOps, RAG, internal AI assistants
- LLM governance and security
What people usually bring
- Releases and operations depend on manual engineering effort.
- Observability is insufficient for stable production support.
- An LLM system is launched without a clear process for support and updates.
What you get
- A description of software delivery and service support.
- A baseline CI/CD, monitoring, and logging setup.
- Governance practices for LLM production lifecycle.
How we approach it
- We start with the bottlenecks that most affect releases or support.
- We introduce changes to tools and working practices in stages.
- We document who supports services and how.
What changes in practice
- Repeatable release steps reduce reliance on manual work.
- Monitoring and logs make service issues easier to investigate.
- LLM work follows the same engineering practices as other systems.
Questions and answers
Where should we start: CI/CD or monitoring?
We start where the risk to releases or support is highest, then expand from there.
Is this suitable for smaller engineering teams?
Yes. The scope can be adapted to team size and current process maturity.
Can we focus only on LLMOps?
Yes, though LLM reliability usually improves faster when core release and support practices are addressed too.