Alert Fatigue from Too Many Tools
“We have Datadog, PagerDuty, Sentry, and Cloudwatch all sending alerts. We miss critical issues because we're drowning in noise.”
Deploy Confidently Without Downtime or Surprises
Failed deployments at 3 AM shouldn't be normal. Monitor deployment impact in real-time, track CI/CD pipeline performance, and catch production issues before they page your on-call team, so you can ship faster without breaking things.
OpenTelemetry nativeSaaS, on-prem, hybrid or BYOCNo per-user pricing
The problem
Common Challenges You Face
Real problems experienced by teams like yours every day
Can't Correlate Metrics, Logs, and Traces
“When production breaks, we jump between 5 different tools trying to connect the dots between metrics, logs, and traces.”
Deployment Impact Unknown
“We deploy code and hope for the best. By the time we notice error rates spiking, customers are already affected.”
Kubernetes Troubleshooting Takes Hours
“Pod restarts, OOMKills, and networking issues are impossible to debug without spending hours correlating logs from multiple sources.”
Capabilities
See exactly how every deployment impacts your systems
Atatus connects every deployment directly to real-time infrastructure metrics, application performance, and error signals, giving DevOps teams instant visibility into release impact across services and environments in a single unified dashboard.
- 01
Centralized Deployment Visibility Track every deployment across services, environments, and infrastructure layers in a single unified view to maintain operational control.
- 02
Real-Time Release Impact Monitoring See how new releases affect application performance, system resources, and error rates instantly to prevent production instability.
- 03
Controlled Canary Rollouts Monitor canary deployments alongside live infrastructure metrics to detect anomalies early and ensure safe production rollouts.
- 04
Rapid Incident Response & Recovery Receive real-time alerts, roll back faulty releases quickly, and monitor system recovery to minimize downtime and service disruption.
Outcomes
How Atatus Transforms Your Operations
Measurable improvements across your DevOps workflows and business metrics
- 01
Unified Observability in One Platform
5 tools → 1 unified platformConsolidate APM, infrastructure metrics, logs, traces, and alerts into one tool that actually helps you debug faster.
- DevOps impact
- No more context switching between tools during incidents - everything in one place
- Business impact
- Reduce tool sprawl and cut monitoring costs by 60% while improving visibility
- 02
Track Deployment Impact in Real-Time
85% faster rollback decisionsAutomatically tag deployments and releases, then track error rates, performance, and user impact immediately after deploy.
- DevOps impact
- Instant rollback decisions with clear deployment comparison showing regressions
- Business impact
- Prevent bad deploys from impacting customers and revenue
- 03
Debug Kubernetes Issues 10x Faster
10x faster K8s debuggingUnified view of pod metrics, logs, events, and traces makes Kubernetes troubleshooting straightforward instead of painful.
- DevOps impact
- Correlate pod restarts with memory spikes, trace slow requests to specific pods
- Business impact
- Reduce mean time to resolution and prevent cascading failures
Teams
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Debug errors and slow paths with the full context of what happened.
Atatus for developersDevOps
Track deployments and see how each release affects stability.
Atatus for DevOpsRelease engineers
Watch latency and error rates to ship with less production risk.
Atatus for release engineersCustomers
Powering better performance for modern teams
"Solid Product even better support." The integration path is incredibly simple/easy and the overall interface is very intuitive. That said, I had a handful of odd use cases that the support team was incredibly responsive in helping me work through.
FAQ
Questions Engineers Ask Before Buying
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Zero-downtime deployments require monitoring deployments in real-time and catching issues before they impact users. Atatus tracks deployment markers, so you can see exactly when new code was released and correlate it with errors, performance changes, or traffic drops.
Monitor key metrics during deployment (error rates, latency, throughput). Set up automated rollback triggers when error rates spike above baseline. Use blue-green or canary deployment patterns and verify new versions are healthy before routing traffic. Most DevOps teams achieve 99.9% uptime with deployment monitoring.
Production failures that don't appear in staging usually stem from environment differences: higher traffic volumes, real user data patterns, external service dependencies, or infrastructure configuration drift.
Atatus shows you differences between environments. Compare staging and production metrics side-by-side. See if production has database connection pool exhaustion, memory limits hit under load, or third-party API rate limits. Identify configuration differences (environment variables, resource limits) that cause prod-only failures.
Atatus integrates with your CI/CD tools (Jenkins, GitLab CI, GitHub Actions, CircleCI) to track the entire deployment lifecycle. See build times, test results, deployment duration, and post-deployment health in a unified dashboard.
Track deployment frequency, lead time for changes, change failure rate, and mean time to recovery (DORA metrics). Identify bottlenecks in your pipeline (slow tests, deployment steps taking too long). Get alerts when deployments fail or when performance degrades after release.
When you get paged at 3 AM, Atatus alerts include context: which service is down, error messages, affected users, and the deployment that caused it. No need to SSH into servers or grep logs manually.
Distributed tracing shows exactly which microservice is failing and why. Log correlation lets you see related errors across services in one view. Recent deployment markers tell you if the issue started after a code change. Most on-call engineers identify root causes in minutes, not hours.
Yes, Atatus lets you track custom business metrics (signups, purchases, API usage, revenue) alongside deployment markers. See if new releases improve or hurt key metrics immediately.
Compare metrics before and after each deployment. Get automatic reports showing deployment impact: 'Deploy #234 increased conversion by 12%' or 'Deploy #235 caused 15% drop in API success rate.' Make data-driven decisions about feature rollouts and rollbacks.
Alert fatigue comes from too many noisy alerts that aren't actionable. Atatus uses intelligent alerting: anomaly detection, correlation, and alert grouping to reduce noise by 80%.
Set alerts based on actual impact (error rate increases affecting > 100 users, latency spikes above P95 baseline) instead of arbitrary thresholds. Group related alerts (database slow + API timeout) into single incidents. Use alert schedules to suppress non-critical alerts during off-hours. Your on-call team only gets paged for real issues.
No, Atatus provides auto-instrumentation for popular frameworks and languages. Install the agent, and we automatically capture metrics, traces, and errors without code changes.
Pre-built dashboards for common tech stacks (Kubernetes, Docker, AWS, Node.js, Python) give you instant visibility. Recommended alerts based on best practices save you from guessing what to monitor. Guided setup walks you through integration with your CI/CD pipeline. Most teams are fully instrumented within a day.
Start free and send your first trace with OpenTelemetry or the Atatus agents. APM, logs, RUM, infrastructure and SIEM, all on one timeline.
- SaaS
- On-premises
- Hybrid
- BYOC
- No per-user pricing