Point the agents you already run at Kloudfuse and keep going. No new instrumentation, no re-deploying a fleet, no six-month migration before anyone sees a dashboard.
Most observability migrations die in the same place. Before anyone can evaluate the new platform, someone has to re-instrument the entire fleet.
Kloudfuse speaks the wire protocols your collectors already emit. Repoint the endpoint and the data arrives, with the same tags, the same metric names and the same fidelity.
An open front door is easy to claim. What matters is whether your dashboards, your query languages and your data are still yours once the telemetry is inside.
Your collectors are already deployed, already tuned, and already approved by whoever had to sign off on them. Kloudfuse accepts what they send, so switching backends is a configuration change rather than a project.
The real cost of switching is not the data. It is the years of tuning inside dashboards and alert rules that nobody wants to rebuild by hand. Kloudfuse converts them rather than asking you to start over.
What you do not carry over: the per-host bill.
A proprietary query language is a hiring problem and a lock-in problem at the same time. Kloudfuse ships its own analytics language, then supports the open ones your engineers learned somewhere else.
Same data lake · same RBAC · same retention.
Telemetry that can only be looked at inside one console is still locked in. Kloudfuse pushes results into the tools where your team actually works, and exposes query endpoints for everything else.
Alerts route to Slack, email and PagerDuty through standard contact points, so nobody has to watch a second console to find out something broke.
Send alerts to any endpoint you control, and pull results programmatically to drive custom workflows, reporting or an internal tool of your own.
Schedule searches and reports so recurring questions answer themselves, and share the output with people who will never open the platform.
Kloudfuse runs on an open observability data lake inside your own environment. The value of that shows up later, when someone asks a question the observability product was never built to answer.
Most platforms are open at the edges they had to be and closed everywhere it matters commercially. These are the places that difference shows up.
| Proprietary stack | Kloudfuse | |
|---|---|---|
| Getting data in | Their agent, deployed across your fleet | The agents you already run, repointed |
| Cost of switching | Re-instrument first, evaluate later | Run side by side, then cut over |
| Dashboards and alerts | Rebuilt by hand in the new tool | Converted, with no code to write |
| Query language | Proprietary, and only useful there | PromQL, LogQL and TraceQL, plus FuseQL for the rest |
| Getting data out | Export limits, egress fees, or no path at all | Webhooks, query endpoints and a GraphQL API over your own store |
| Where the data lives | The vendor's account, at the vendor's retention | Your VPC, your storage, your retention policy |
| Reuse beyond observability | Locked to the product that ingested it | Open lake, available to analytics, applications and AI |
No. Kloudfuse accepts what those agents already emit, so the change is the endpoint they send to. Your instrumentation, tags and metric names stay as they are.
Yes, and it is the usual way teams start. Fan the same telemetry out to both backends, work a real incident in each, and decide with evidence rather than a bake-off deck.
They convert without code. Kloudfuse is also Grafana-compatible as a data source, so dashboards your team maintains there keep working against the new backend.
Only where you want more than the open languages give you. PromQL, LogQL and TraceQL work against the same store, and FuseQL covers the parsing, aggregation and scheduled search that sit outside them.
FuseQL is Kloudfuse's query language for log analytics that open standards don't cover — parsing, aggregation, pattern extraction and scheduled search. It runs against the same lake as PromQL, LogQL and TraceQL, under the same access controls.
The data never left. Kloudfuse runs inside your VPC and stores telemetry in your own account, so access to it is a matter of your permissions rather than an export request.
Standard contact points including Slack, email and PagerDuty, plus webhooks to any endpoint you control for anything that is not on that list.
Thirty minutes on your telemetry. The cause, before the call ends.