Find the root cause, with the evidence to prove it
KloudMate Assistant investigates across your metrics, logs, traces, and Kubernetes state. It finds the likely root cause, cites the evidence for every claim, and gives you the fix to run.
An alert fires. Then you spend an hour correlating five tools by hand.
KloudMate Assistant does that correlation for you. It reads your telemetry the way an engineer does, follows the symptom back to its cause, and shows the evidence behind every step. It does in minutes what takes you an hour by hand. You start with a lead, not a blank screen.
What teams can do with KloudMate Assistant
One agent that reads your telemetry, proves the cause, and hands you the fix to run.
Finds the likely root cause
It investigates across metrics, logs, traces, Kubernetes, deploys, SLOs, and RUM, then names the likely cause and the change that set it off.
Proves the cause, never guesses
A cause has to pass code rules: it started before the symptom, the topology connects them, and the signals agree. A separate check can only lower confidence, never raise it.
Cites the evidence for every claim
Every number, entity, and command in the answer comes from evidence the agent gathered. If it cannot back a claim, it does not make the claim.
Gives you the fix to run
The report ends with the exact commands, each tagged from read-only to destructive, with how to check it worked and how to undo it.
Four agents, not one chatbot
Ask a question in chat, launch a background investigation, draft a dashboard or alert, or get a grounded answer from the docs. Each one is purpose-built.
Reads your systems, never changes them
The agent's tools are read-only. It investigates and recommends; you run the fix, or add an approval step in a workflow.
From an alert to a cause you can trust
Start it by hand or let it run on its own. Either way, it gathers evidence, proves the cause, and ends with the fix.
Ask, or let it run
Ask a question in chat, click Run RCA on an alert group, or let auto-RCA start the investigation on its own.
It gathers the evidence
The agent queries your telemetry across metrics, logs, traces, and Kubernetes, and records each finding as cited evidence.
It proves the cause
It builds the causal path, checks the timing and topology, and a separate verifier tries to disprove the leading cause.
You get the fix
The report names the likely cause, cites its evidence, and gives the commands to fix it and to confirm the fix worked.
Investigates across every signal, not just one
Most AI incident tools sit on top of other systems. KloudMate owns the telemetry the investigation needs, so the agent can follow a symptom from an alert, through traces and logs, to the deploy or Kubernetes change behind it.
- Reads metrics, logs, traces, Kubernetes state, deploys, SLOs, and RUM in one investigation
- Follows the causal path across services instead of reading one dashboard
- Names the change that set it off: a deploy, an image change, or a config edit
It proves the cause, and admits when it can't
The agent does not pick the loudest anomaly. A cause has to start before the symptom, connect through the topology, and agree across signals. A separate verifier can only lower confidence. When the evidence is not there, it says so instead of guessing.
- A cause must show a causal path, not just a correlation in time
- A separate verifier tries to disprove the leading cause before the report ships
- “Inconclusive” is a valid answer, so you are never sent down a wrong path
Ends with the fix, not just the finding
Every investigation ends with the commands to run. Each one is tagged by risk, with how to check it worked and how to undo it. The agent uses only resource names it actually found, and flags any name it could not match.
- Exact commands: kubectl, cloud CLI, SQL, config edits, and rollbacks
- Each command tagged read-only, reversible, disruptive, or destructive
- Every fix comes with a verify step and an undo step
Agentic RCA, without the agentic bill
A full investigation costs $0.25, and a chat answer $0.05. The leading observability platforms charge several dollars for comparable AI. You pay by the action, on every plan, with no per-seat AI fee.
- $0.25 a full investigation and $0.05 a chat answer, on every plan
- A fraction of the leading platforms' list prices, up to about 26× cheaper
- Pay by the action, not per seat; comparisons use vendors' published list prices
Reads your systems, you stay in control
The agent's built-in tools are read-only, so it never changes your systems. It treats your telemetry and tool output as data, never as instructions, so a log line cannot redirect it. You run the fix, or gate it behind an approval in a workflow.
- Read-only The agent investigates; it never changes a resource
- Grounded Every claim cites the evidence the agent gathered
- In your control You run the fix, or require an approval step first
Related Features
Keep the rest of the workflow close by so teams can move between detection, investigation, and response without losing context.
Workflows
Automate the response to an alert or a schedule: gather evidence, wait for an approval, and make the fix.
Learn moreAlerting
Correlate related alerts into one incident with AI, notify the right team once, and attach a likely cause automatically.
Learn moreIncident Management
Coordinate response, ownership, escalation, and telemetry context in one incident workflow.
Learn moreAPM & Distributed Tracing
Trace requests across services, inspect dependencies, and move from latency symptoms to request-level evidence.
Learn moreGet started
From telemetry to root cause,
in one platform.
Connect your OpenTelemetry pipeline, AWS integrations, or eBPF agent. Distributed tracing, log management, alerting, and AI-assisted investigation: unified, with predictable pricing.