Choose the signal
Start with application, Kubernetes, infrastructure or security logs.
All use cases
From scattered files to one operational memory
Build your first central log platform
Stop treating every incident like a file-system scavenger hunt. Bring application, host and container logs into one searchable on-prem workspace.
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→
Your team is growing, services are multiplying, and the person who remembers every log path is becoming a production dependency.
We should not need to know the server before we know what failed.
The pain
The incident starts before the investigation does
01
Engineers SSH into different hosts and pods.
02
Container restarts erase the evidence you needed.
03
Retention depends on local disk and manual cleanup.
04
Only a few people know where each service writes logs.
The UnifyLogs path
A practical first step, not a platform program
Activate ingestion
Use a managed table and collector template, then test with a sample event.
Investigate together
Search, live-tail and analyze the same retained data with filters or SQL.
What changes
The operating pattern changes—not only the tool.
- One place to start every incident
- Searchable history beyond a pod lifetime
- Less operational knowledge trapped in individual engineers
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.