Ask any production question: metrics, logs, traces, events and LLM telemetry in one unified observability data lake inside your VPC. The model comes to your data, not the other way around. Full cardinality, no sampling, and predictable costs.
One platform replacing 30+ point tools, billed on one axis. Customers cut spend while multiplying the data they keep.
Metrics, logs and traces land correlated, so the investigation does not start with picking a tool.
Full cardinality, no sampling, no retention tiers — running in production at Zscaler scale, with 100% of telemetry staying in-house.
Measured across production deployments at our largest customers.
SaaS observability pricing moves across hosts, custom metrics, indexed spans, seats and retention, usually more than one at a time. You cannot forecast it, so you sample and cut retention to protect the budget.
Kloudfuse prices on one axis: telemetry ingested. Your volume decides your tier, and the platform price is fixed inside that band. Adding nodes, raising cardinality or onboarding users never introduces a separate meter. Your price changes only when your volume moves into the next tier.
Annualised cost index for a medium deployment: 12 TB/day. Lower is better.
Indexed to Datadog at 100, modelled from published list pricing, August 2026. Retention, cardinality and signal mix move a SaaS bill across several meters at once. With Kloudfuse they change only how much telemetry you send, and your tier price holds until that crosses a band.
Move your daily volume. The price holds inside the band, then steps.
$116,873 / year platform price
Same platform price anywhere inside this band.
Your security team has nothing to approve, because nothing leaves.
The whole platform deploys inside your own VPC. Storage, query engine and AI runtime all sit on your side of the boundary — in your bucket, under your keys, governed by the RBAC you already run. Only metadata reaches Kloudfuse.
OpenTelemetry
Prometheus
You get the on-call hours back without giving an agent the keys. Dexter triages the alert, correlates across every signal, traces the regression to the deploy, and hands you a finding with the evidence attached — so the reconstruction work that eats a shift is already done when you open it.
It reads your data where the data already is, on the model you choose. It proposes, and a human decides.
Datadog
Grafana LabsNew Relic
GitHub
Jira
Slack
Claude
Gemini
OpenAISignals land correlated, so you move from a slow span to the logs behind it without switching tools or learning a second query language.
Cloud security, intelligent automation, healthcare data. All running in their own clouds, under their own governance.
"At our scale, reliability depends on how quickly teams can identify issues, understand service dependencies, and take action with confidence. Kloudfuse has helped simplify that by giving our teams a more unified view of production behavior across the platform."
Michael KupermanChief Reliability Officer and GM, Zscaler
300 TB/day
of telemetry, all of it in-house
78 teams
on one platform
30+ tools
retired
Audited by third parties, not asserted by us. Deployment inside your own VPC means residency and data-handling requirements are governed by your controls, not ours.
Thirty minutes on your telemetry. The cause, before the call ends.
