Error tracking, without a second tool.
KloudMate automatically discovers errors in your logs and traces and groups the recurring ones into issues, each with its occurrence trend, owner, and the logs and traces behind it.
Recurring errors stay noisy when each one is triaged from scratch.
Issues Inbox creates a steadier triage layer between raw error noise and the heavier incident workflow, so teams can group symptoms, assign ownership, and investigate from a cleaner starting point.
What teams can do with Issues Inbox
Keep production issue triage focused by grouping symptoms, attaching context, and turning noisy errors into work that can be prioritized sensibly.
Auto-group recurring errors
KloudMate discovers errors and exceptions in your logs and traces and folds repeats into one issue record, no manual rules to triage the same symptom twice.
Prioritize by impact and severity
Use severity, frequency, and affected service context to decide which issue needs immediate escalation and which one can be handled as planned maintenance.
Keep ownership explicit
Assign owners and track status so the same noisy group does not get bounced around the team without clear responsibility.
Jump from an issue to its telemetry
Each issue links to the occurrences, logs, and traces behind it, so a deeper investigation starts from evidence instead of a blank search.
Group, prioritize, and route issues cleanly
The goal is to absorb recurring production noise into a more focused queue before deciding whether the symptom deserves a larger incident response.
Collect recurring errors and symptoms
Use the issue inbox to see which patterns are repeating across services, environments, or time ranges.
Review severity and context
Prioritize the issue by impact, recurrence, and the telemetry context that shows whether it is getting worse.
Assign ownership or escalate
Make the service owner explicit and decide whether the issue should stay as tracked work or move into the incident path.
Resolve with linked evidence
Close the issue with logs, traces, and related alerts preserved as the evidence trail for what actually happened.
Group recurring errors and symptoms into one queue
A useful issue view helps teams see which noisy problems are actually the same problem, which services are affected, and which groups are already owned.
- Review recurring error groups instead of raw ungrouped noise
- Use severity and ownership to keep the queue actionable
- Keep related logs, traces, and alerts attached to the same issue record
Connect issues to logs, traces, alerts, and incidents
Issue triage becomes useful when it leads to the right operational surface. KloudMate preserves the telemetry and alert context needed to move from grouped symptom to deeper investigation.
- Open the trace or log slice already linked to the issue before starting a fresh investigation
- Decide when an issue needs an incident response, with its grouped evidence ready to carry over
- Keep ownership and operational status clear while deeper telemetry review continues
Use KloudMate Assistant to summarize issue context
Assistant can help the team understand what the issue group represents, which service or trace path is most implicated, and whether the issue still looks like tracked work or an active incident.
- Summarize Explain the recurring issue pattern in one shorter brief
- Connect Tie the issue group to the logs, traces, and alerts already linked to it
- Escalate Help decide whether the issue now belongs in an incident workflow
Related Features
Keep the rest of the workflow close by so teams can move between detection, investigation, and response without losing context.
Incident Management
Coordinate response, ownership, escalation, and telemetry context in one incident workflow.
Learn moreAlerting
Build precise rules, route alerts by label, group related firings into one, and attach a likely cause automatically.
Learn moreLog Management
Search, filter, inspect, and stream logs with trace and incident context attached.
Learn moreAPM & Distributed Tracing
Trace requests across services, inspect dependencies, and move from latency symptoms to request-level evidence.
Learn moreGet started
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