In development · Design partners wanted

Production context your AI SRE agents can trust.

Kernavio is a production context engine for Kubernetes and OpenTelemetry. It gives AI SRE agents an accurate, consistent picture of what code is running, what changed, and how services depend on each other, so investigations start in the right place.

Your production environment
CodeDeploymentsDependenciesTelemetry
Kernavio connects the dots
One continuously updated view of your production system
Focused context for every incident
Consistent, cited and sized for your agent
Concept illustration. Kernavio is currently in development.

The problem

AI SRE agents fail on context, not reasoning.

When an investigation goes wrong, the model is rarely the weak link. More often the context it received was incomplete, out of date, or different from one run to the next.

Looking at the wrong code

Agents often read the latest code in the repository, not the version actually running in production.

Changes are scattered

Most incidents follow a change, but deploy, config and code history live in different tools with no single timeline.

Too much, or too little

Agents either guess from an alert or dump raw logs and whole files into the prompt, wasting tokens and burying the signal.

Nothing is repeatable

There's no record of what an agent saw, so bad conclusions can't be debugged and improvements can't be tested.

What Kernavio does

A reliable source of production context.

Kernavio sits between your production environment and your AI SRE agents. It keeps an up-to-date understanding of your system and answers the questions every investigation starts with.

What's running?

The exact version of every service, and the code behind it.

What changed?

Recent deployments, configuration and code changes in one timeline.

What's affected?

How services depend on each other, and what an issue could reach.

Where to look?

A short, prioritised starting point for the investigation.

Kernavio gathers the facts. Your agent does the reasoning, over context it can trust.

Built for trust

Designed for production from day one.

Read-only

Kernavio never changes your clusters or repositories.

Your data stays with you

Runs inside your own environment. Secrets and sensitive values are kept out of agent context.

Consistent and reproducible

The same incident produces the same context, so investigations can be reviewed and improved.

Every fact is cited

Agents and engineers can see where each piece of context came from.

Open standards

Built on Kubernetes and OpenTelemetry, and works with any agent through the Model Context Protocol.

Measured, not assumed

Quality is tested against real incidents before anything ships.

Who it's for

For teams running Kubernetes with OpenTelemetry.

Teams building AI SRE agents

A dependable context layer, so you can focus on the agent instead of the plumbing.

Platform and SRE teams

Visibility into which services are ready for AI-assisted investigation, and what's missing.

On-call engineers

A clear view of what's running, what changed and who owns it, with links to go deeper.

About us

Stiravia Systems Private Limited

Stiravia Systems is building Kernavio to make AI-assisted incident investigation dependable, by giving agents and engineers accurate production context they can trust.

We're an early-stage company building our first product, and we're working with engineering teams running Kubernetes in production to shape it.

Company
Stiravia Systems Private Limited
Product
Kernavio
Location
Hyderabad, India
CIN
U62013TS2026PTC222454
Contact
contact@kernavio.com
SM
Subrahmanyam Mannam
Founder & CEO · LinkedIn

Design partners

Help shape Kernavio.

We're looking for a small number of teams running Kubernetes with OpenTelemetry, or building AI SRE agents, to work with us as design partners.