Archive to a bucket you own
Logs are written as compressed JSON. Query them later with Athena or any tool you like.
Bucket name acme-log-archive Bucket path atatus/prod/ Region us-east-1 Archive name prod-logs # written as compressed JSON
AI powered log management
Atatus centralizes every log across your stack, lets you search in plain English with AI, and correlates logs with traces and metrics — so engineering teams resolve incidents 3× faster.
60%Reduction in storage costs
<2sSearch across 1B logs
3×Faster root cause analysis
01 / Search
Find the line that matters.
Filter by severity or service, watch the live tail, open a line to see its trace.
AI search
service IN (api-gateway, payment-svc, order-svc, cart-svc)Last 30 minutes
Severity
Service
- service
- payment-svc
- level
- ERROR
- k8s.pod
- payment-svc-7d9f · node-b
- deploy
- v2.14.0
- trace_id
- 7f3a9c
46,812 lines matchedsample dataClick a line to open its trace
02 / Patterns
Thousands of lines. A handful of patterns.
Repeating lines grouped, so the new one stands out.
- upstream timeout after <*> ms trace=<*>18,402new · since 14:02
- retrying payment attempt=<*> of 39,114↑ 6×
- cache miss key=cart:<*>31,220known
- user <*> logged in from <*>6,498known
- GET /health 200 <*>ms196,880muted
03 / Pipelines
Raw text in. Searchable fields out.
Step one log line through a pipeline.
Stage 01 of 05
A raw line arrives
From the Atatus Infrastructure Agent or the Log API, as plain text.
2026-10-22T14:03:11Z payment-svc lvl=err status=502 msg="charge failed" order=88412 latency=912ms
04 / Archives and usage
Recent logs here. History in your S3.
Search within your plan's retention. Archive everything to your own S3 bucket.
See which service is filling the bill
Priced per ingested GB. No per-user fees.
Ingested GB, last 30 days · sample data
05 / Sources
Send logs from anywhere.
One agent for apps, containers, web servers and databases. The Log API for the rest.
- infra-agentAtatus Infrastructure Agent41k/sreceiving
- k8s-prodKubernetes · container stdout28k/sreceiving
- nginx-edgeaccess + error logs12k/sreceiving
- postgres-primaryPostgreSQL logs1.4k/sreceiving
- log-apiAtatus HTTP Log API600/sreceiving
06 / In the product
Log Management, screen by screen.
Real screens from the Atatus app.
FAQ
Questions about log management
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Atatus centralizes logs and automatically correlates them with traces and metrics, helping engineering teams troubleshoot incidents faster without manually searching across multiple monitoring tools.
Yes. Atatus includes AI-powered log search capabilities that allow teams to query logs using natural language and quickly surface relevant errors, anomalies, and root cause insights.
Atatus helps reduce log storage costs through intelligent log filtering, retention controls, ingestion optimization, and efficient indexing strategies designed for high-volume environments.
Atatus supports logs from Kubernetes, Docker, cloud platforms, servers, microservices, applications, and popular observability pipelines including OpenTelemetry-based environments.
Yes. Atatus automatically connects logs with distributed traces and application performance monitoring data, making it easier to investigate latency issues and service failures end-to-end.
Send logs from anywhere, group them into patterns and jump from any line to its trace.
- SaaS
- On-premises
- Hybrid
- BYOC
- No per-user pricing
Compare Atatus with Splunk · Logz.io · Papertrail