See the change
Use the log histogram to locate error and warning spikes.
All use cases
Short-lived workloads, durable evidence
Troubleshoot Kubernetes and application failures
Follow errors across pods, services and hosts from a shared timeline—even after the workload that produced them is gone.
coreva_logslogs_application_events1H
search service, level or message...⌘ K
Log streamAI
TIMELEVELSERVICEMESSAGE
10:42:18.904ERRORcheckout-apipayment upstream timeout · trace=8fa2
10:42:18.887WARNpayment-svcretry budget at 80% · region=tr-1
10:42:17.512INFOgatewayrequest routed · latency=34ms
Explain this error cluster with AI→
A deployment fails intermittently. The pod is replaced, the local log disappears, and the investigation restarts with incomplete context.
A restarted pod should not reset the incident timeline.
The pain
Ephemeral infrastructure produces ephemeral answers
01
Restarted pods remove local evidence.
02
Service names and fields differ across teams.
03
Live tail shows now, but not the lead-up to failure.
04
Developers and operators inspect different sources.
The UnifyLogs path
Move from spike to evidence
Narrow the timeline
Filter by service, host, source, level or message.
Ask the deeper question
Switch to read-only SQL when the investigation needs grouping or correlation.
What changes
The operating pattern changes—not only the tool.
- Durable history for short-lived workloads
- A shared investigation surface for DevOps and developers
- Faster movement from symptom to affected service
CONTACT / HUBSPOT
Bring us the log problem you have today.
Tell us where your logs live, what breaks during incidents, and what must remain on-prem. We will respond with a practical evaluation path.