12+
Years in production, since 2014
Collecting telemetry…checkout-service · production
AI observability platform APM, Logs, RUM, Infra, SIEM, Cloud Find the root cause before your users notice.
Atatus combines APM, log management, real user monitoring, infrastructure monitoring and SIEM in one AI-powered platform. Cut MTTR and cloud monitoring costs with full-stack visibility across every signal in production.
34 products · one platform
APMServerlessCrash DetectionAPI AnalyticsContinuous ProfilingReal User MonitoringUptime MonitoringSession ReplayDNS MonitoringSSL CertificatesInfrastructureKubernetesContainersDatabasesNetworkNetwork PathNetwork DevicesNginxRabbitMQLog ManagementMetricsOpenTelemetryPrometheusDashboardsAlertingLLM ObservabilityAI SREMCP ServerApp SecurityVulnerabilitiesSensitive DataCloud SIEMSecurity LogsFile Integrity
01 / Proof
Every signal, at production scale.
12+ years powering observability. One platform for the traces, logs, metrics and sessions your team already depends on.
4.7/5
Rating on G2
200+
Integrations
34
Products on one platform
Trusted by engineering teams at
02 / Product
Six areas. One platform.
From the user's browser to the API gateway, from pods to compliance scorecards. Drag through the platform.
Drag or use arrow keys
01APM Services29 services
Trace every transaction from API gateway to database.
Distributed tracing across 29 connected services and 50 connections, with JVM heap, GC pause, threads and CPU in the same view.
- Distributed tracing. Filter traces by service, status, span kind and duration in real time.
- Service map. See dependencies across API Gateway, GraphQL, Order, Payment, Search and Billing.
- Runtime metrics. Heap memory, GC pause time, threads and CPU charted per service.
- 45,678traces
- 234msavg response
02Infrastructure & Containerssingle agent
Every pod, host and cloud with one agent.
Kubernetes pod-level visibility and automatic service discovery across AWS, GCP, Azure and on-prem. Find over-provisioned hosts before the bill does.
- Kubernetes native. Pod-level visibility with automatic service discovery.
- Cloud-agnostic. AWS, GCP, Azure or on-premises with a single agent.
- Cost waste. Spot over-provisioned hosts and right-size them.
03AI SREup to 96% confidence
Automated root cause analysis, in plain language.
Chat with your infrastructure and apply one-click recommendations: optimise database queries, right-size pods, rotate SSL certificates.
- RCA engine. Correlates traces, logs and metrics into confidence-ranked root causes.
- Ask in plain language. Latency spikes, deployments and anomalies, answered in chat.
- Runbooks. Recommended remediation steps with full runbook generation.
- 750+cross-signal correlations
- 102analyses
- 92%avg confidence
04Real-Time TelemetryOpenTelemetry
Sub-100ms ingestion. No lock-in.
OpenTelemetry native, with one pipeline for metrics, logs and traces and adaptive smart sampling that keeps the signal you need.
- Streaming ingestion. Millions of telemetry events per minute at sub-100ms latency.
- Smart pipelines. Route, filter and enrich data before it reaches storage.
- Adaptive sampling. Keeps critical traces without storage bloat.
05Security IntelligenceCloud SIEM
Detect threats next to your traces.
Security events from 50+ log sources, file integrity monitoring and live compliance scorecards in the same platform as your traces.
- Unified log ingestion. Apache, PostgreSQL, Kubernetes, WAF, CloudTrail and 50+ sources.
- File integrity monitoring. Critical file changes flagged by host, user and process.
- Compliance scorecards. SOC 2, PCI-DSS, HIPAA, ISO 27001 and GDPR with pass and partial status.
- 50+log sources
- 5compliance frameworks
06Real User Monitoringbrowser to backend
See what users saw, and the request behind it.
Core Web Vitals per page and every session tied to the API call, trace and logs it triggered. Frontend errors stop being invisible to the backend team.
- Session to trace. Follow one click from the browser to the database query.
- JS errors in context. Link JavaScript exceptions to the API failures behind them.
- Synthetics included. APM, logs, RUM, infra and synthetics in one view.
- 1 tracebrowser click to DB query
- 0blind spots between frontend and backend
02 / All products
34 products. One platform.
Everything Atatus monitors, grouped the way your stack is built. Every product shares the same traces, logs and metrics, so nothing needs stitching together.
Application
05- APMDistributed traces, service maps and slow transactions across every service.
- ServerlessCold starts, invocations and errors for your serverless functions.
- Crash DetectionCatch crashes and exceptions with full stack traces and context.
- API AnalyticsEvery API call broken down by endpoint, customer and status code.
- Continuous ProfilingFind the exact function burning CPU and memory in production.
Digital experience
05Infrastructure
09- Infrastructure MonitoringHosts, VMs and cloud resources in one live inventory.
- Kubernetes MonitoringClusters, nodes, pods and workloads with resource health.
- Container MonitoringCPU, memory and restarts for every container you run.
- Database MonitoringSlow queries, query plans and wait events across your databases.
- Network MonitoringTraffic flows and latency between services and hosts.
- Network Path MonitoringHop-by-hop latency and packet loss along network routes.
- Network Device MonitoringSNMP metrics from routers, switches and firewalls.
- Nginx MonitoringRequests, connections and upstream health for Nginx servers.
- RabbitMQ MonitoringQueue depth, message rates and consumers across RabbitMQ nodes.
Observability & AI
09- Log ManagementIngest, search and analyse logs with live tail and pipelines.
- MetricsCustom and infrastructure metrics with fast queries.
- OpenTelemetrySend OpenTelemetry traces, metrics and logs straight to Atatus.
- PrometheusIngest Prometheus metrics and query them with PromQL.
- DashboardsBuild shared dashboards from any signal in minutes.
- AlertingThreshold and anomaly alerts routed to Slack, PagerDuty and more.
- LLM ObservabilityToken cost, latency and errors for every model call.
- AI SRERoot cause in plain language, ranked by confidence.
- MCP ServerQuery your observability data from AI assistants and IDEs.
Security
06- Application SecurityDetect and block attacks against your running applications.
- Vulnerability ManagementFind vulnerable libraries in the code you actually run.
- Sensitive Data ClassifierSpot PII and secrets in logs and traces before they leak.
- Cloud SIEMThreat detection and compliance across your cloud logs.
- Security LogsCentralise audit and security logs for investigation.
- File Integrity MonitoringAlert on unexpected changes to critical files.
03 / How it works
From alert to fix in four steps.
Every layer of your stack reports into one timeline, so each step hands the next one its evidence. Here is a real incident pattern, end to end.
- 01Detect
Alerting spots the drift
Anomaly alerts learn each service's baseline and flag the change the moment it happens, linked to the deploy that caused it.
- 02Trace
Follow the request across the stack
100% of requests are traced, from the user's click through the gateway and services to the pods and data stores.
- 03Correlate
Every signal lines up
Logs, metrics, deploys, sessions and security events are joined to the same trace ID.
- 04Resolve
AI SRE ranks the cause and the fix
A confidence-ranked root cause with the evidence attached and a one-click recommendation your team can apply.
Before: 5 tools and a war roomAfter: 1 platform and one traceResult: the root cause with its evidence attached
See it on your own stack in under 5 minutes.
14-day free trial · Full platform access · No credit card
04 / Why Atatus
Six reasons to run on Atatus.
Built for teams that page on real incidents. Hover a reason to see it in the product.
- 01
No data lost as you scale
1.2M events/sec ingest3ms p99 log index time, 8.4× compression and 90 days of sub-second search.
- 02
100% request tracing
No samplingEvery request is traced, so the slow one is there when you go looking for it.
- 03
Anomaly detection
Deploy-linked alertsLearns your baseline and ties each alert to the deploy that caused it.
- 04
Deploy it your way
SaaS · On-prem · Hybrid · BYOCNo per-user pricing and full data residency.
- 05
OpenTelemetry native
SDK → Collector → AtatusSend OTel data to the Atatus endpoint and get one unified view.
- 06
LLM observability
OpenAI · Anthropic · BedrockTrack token cost, p99 latency and error rate for every model call.
05 / Transformation
From five tools to one trace.
What changes when browser errors, backend traces, logs and infrastructure land in the same place.
Before5 tools stitched together
Incident timelineHours of tool-hopping
users complainalertfix
- Sentry + Grafana + ELK + Pingdom + manual infra checks
- Frontend errors invisible to the backend team
- A separate contract and bill for every tool
- Alerts arrive after users complain
AfterOne platform
Incident timelineAlert to fix in one trace
Alert fires before users notice
- APM + Logs + RUM + Infra + Synthetics in one platform
- Browser click to DB query in one trace
- Predictable pricing
- Alerts before users notice
Switching tools? Compare Atatus side by side
06 / Integrations
Plugs into the stack you already run.
200+
Agents and SDKs for your languages, frameworks, clouds, data stores and alerting tools. OpenTelemetry and Prometheus included.
Browse all integrations- otel-collectorreceiving
- k8s-prodreceiving
- postgres-primaryreceiving
- pagerdutyrouting
Languages
- JSNode.js
- JVJava
- PYPython
- GOGo
- .N.NET
- PHPHP
- RBRuby
Frontend
- REReact
- NXNext.js
Cloud & containers
- K8Kubernetes
- DKDocker
- AWAWS
- GCGCP
- AZAzure
Data
- PGPostgreSQL
- MYMySQL
- MGMongoDB
- RDRedis
- KFKafka
- ESElasticsearch
Pipelines & edge
- OTOpenTelemetry
- PRPrometheus
- NGNginx
Alerting
- SLSlack
- PDPagerDuty
Your stack is covered. Send your first trace.
Use OpenTelemetry or the Atatus agents · 14-day free trial · No credit card
07 / Customers
What engineers say
“The integration path is incredibly simple and the overall interface is very intuitive. I had a handful of odd use cases that the support team was incredibly responsive in helping me work through.”
08 / FAQ
Questions teams ask first.
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
There is no per-user pricing. One predictable subscription covers APM, logs, RUM, infrastructure and synthetics, so you are not juggling several vendor contracts or surprise invoices.
Yes. Choose fully managed SaaS, on-premises, hybrid, or bring your own cloud (BYOC). It works across single-region, multi-region and multi-cloud setups with full data residency control.
Atatus ingests OpenTelemetry traces, metrics and logs natively. Instrument with the OTel SDK, send through a drop-in OTel Collector to the Atatus endpoint, and keep your instrumentation portable.
The agents are built to run in production with low overhead, and a single agent covers hosts and containers on AWS, GCP, Azure and on-premises. Measure it on your own services during the 14-day free trial.
90 days with sub-second search. Logs are indexed at 3 ms p99 with about 8.4× compression, and ingestion handles 1.2M events per second without dropping data as you scale.
Live scorecards for SOC 2, PCI-DSS, HIPAA, ISO 27001 and GDPR, alongside file integrity monitoring and detection across 50+ log sources.
Yes. Track token usage, model latency, prompt cost and error rates for OpenAI, Anthropic and Bedrock calls next to the rest of your telemetry.
See the Root Cause First.
Start free and send your first trace with OpenTelemetry or the Atatus agents — APM, Logs, RUM, and Infra, all on one timeline.