Sovereign observability

Your data. Your cloud. Your AI. Our observability.

You built your infrastructure in your cloud. You chose where your data lives. You defined your security perimeter. And then, almost without noticing, you handed your logs, your traces, your metrics, and your LLM prompts to someone else's platform and called it progress.

That is how observability has always worked. Your data goes to them. Their platform makes sense of it. You pay for the privilege, accept the rate limits, and quietly monitor less than you know you should.

For a long time, that tradeoff was manageable, not any more.

The world changed. The pricing model did not.

AI agents are now shipping code, running investigations, and querying observability data at a scale no human team ever did. They generate ten times the data volume. They surface sensitive business context in every trace. And the moment you let a third-party platform host your agents alongside your observability data, your source code, your internal logic, and your LLM prompts leave your environment too.

Most teams do not realize they have made that choice, they just know their bill went up.

What Tsuga does differently

Tsuga runs entirely inside your cloud. Your data never moves. There are no egress costs, no vendor access, no compromises on data residency. The storage layer is built on open object storage and an optimized query engine that handles AI-scale data volumes without the infrastructure tax that traditional platforms pile on top of your storage costs.

The result is that you can finally monitor everything. Not just production. Staging. Development. Every environment you currently leave dark because the cost does not justify it. And when your AI agents need to investigate an incident, they query your data in your environment, guided by purpose-built APIs that return the relevant context rather than dumping everything into a token-burning context window.

Three things drive everything we build:

Sovereignty. Your data stays in your cloud. Full stop. No third party has access to your telemetry, your prompts, or your operational intelligence.

Scale. Built for the data volumes the AI era actually produces. Monitor more, query faster, and spend less than you do today.

Governance. Complete visibility into what your agents did, with what data, and why. Because AI decisions need audit trails just as much as financial ones do.

Every cloud you already run on

Tsuga deploys into the clouds your estate already lives in, on AWS, Microsoft Azure, Google Cloud, and sovereign clouds, using the same architecture in each one. The data plane runs inside your own account on the managed Kubernetes service your team already uses, and your telemetry lands in your own object storage under your own keys, so where your data sits stays a property of where you chose to build rather than a region setting you pay extra for.

A multicloud estate is usually where observability starts to hurt, because the single view costs you the thing you were protecting. The usual route to one pane of glass is to extract everything into a vendor's cloud, which reopens every residency and audit question you had already answered. We unify the view across your clouds without moving the data out of any of them, so adding a second or third cloud changes your architecture and not your governance posture.

The same is true one level down, across the clusters inside each cloud. Every query is cluster aware, so tens or hundreds of clusters across regions, environments, and tenants read as one estate rather than as one stack to maintain per cluster.

Who is this for

Tsuga is for teams in regulated industries, data-sensitive environments, and organizations scaling AI into production who have stopped accepting the idea that observability capability and data sovereignty are a tradeoff. If your cloud is yours, your observability should be too.