API Slowness Causes Timeouts
“Our mobile app times out randomly, but we don't know which API endpoint is slow or why it's happening.”
Stop API Timeouts and Third-Party Failures from Breaking Your App
When APIs fail, your entire app suffers. Track endpoint performance, monitor third-party service reliability, and catch rate limits before they hit, so your users never see a 500 error or loading spinner that never ends.
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
Third-Party APIs Fail Silently
“Payment gateways, authentication services, or data providers fail, and we only find out when customers can't complete actions.”
Can't Track API Dependencies
“We have dozens of microservices calling each other, and when something breaks, we waste hours finding the root cause.”
API Errors Without Context
“We see 500 errors in logs but have no idea what user action triggered them, making debugging a nightmare.”
API Insights
- Analyze API traffic at scale to understand how endpoints behave under real production workloads.
- Aggregate API metrics to identify long-term trends such as slow endpoints, high error rates, and latency-heavy integrations.
- Measure performance using key indicators like P95 latency, throughput, and error distribution across APIs.
- Create alerts for performance degradation including latency threshold breaches, rising 4xx or 5xx errors, and abnormal response time spikes.
Endpoint Metrics
- Track every API endpoint with detailed request timing, response status, and contextual metadata.
- Group endpoint data by version, environment, region, or custom tags to compare behavior across deployments.
- Monitor performance differences between releases to validate improvements or quickly detect regressions.
- Detect issues early by alerting on unexpected latency increases or error rate deviations after changes.
Dependency Check
- Monitor availability, latency, and error rates of external APIs such as payment, authentication, and messaging services.
- Understand how third-party dependencies impact overall application performance and reliability.
- Compare external API performance by provider, region, or endpoint to isolate degraded dependencies quickly.
- Trigger alerts when third-party services exceed defined latency or failure thresholds before users are affected.
Alert Signals
- Convert raw API metrics into actionable signals using threshold-based and trend-based alerting.
- Analyze request volume, response times, and error patterns together to assess API health accurately.
- Detect abnormal behavior such as traffic spikes, sudden error surges, or performance degradation.
- Set focused alerts for business-critical APIs to ensure fast response to reliability risks.
Outcomes
How Atatus Transforms Your Operations
Measurable improvements across your DevOps workflows and business metrics
- 01
Track Every API Request End-to-End
90% faster root cause identificationDistributed tracing shows the complete journey of each API call through your microservices with latency breakdown.
- DevOps impact
- Instantly identify which service in the chain is causing slowness or failures
- Business impact
- Faster API responses improve user experience and reduce customer churn
- 02
Monitor Third-Party API Reliability
99.9% third-party monitoring coverageTrack response times, error rates, and availability of external APIs you depend on with automatic alerts.
- DevOps impact
- Get notified when Stripe, Auth0, or other providers degrade before impact spreads
- Business impact
- Prevent revenue loss from payment failures and authentication issues
- 03
Debug with Full Request Context
60% faster issue resolutionCapture request payloads, headers, user IDs, and custom metadata to debug issues without guessing.
- DevOps impact
- Complete request/response data with user context eliminates back-and-forth debugging
- Business impact
- Resolve customer issues faster with precise reproduction steps
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.
API timeouts happen when backend services take too long to respond - often due to slow database queries, external API dependencies timing out, or servers hitting resource limits. Atatus shows you exactly which dependency is causing delays.
Distributed tracing visualizes the entire request flow. See if timeouts come from your database (slow joins on large tables), third-party APIs (payment processors, geolocation services), or overloaded microservices. Fix the slowest component first to restore performance.
Atatus tracks all external API calls (payment gateways, shipping APIs, authentication providers) and shows their response times, error rates, and reliability. Compare third-party API performance side-by-side.
See which vendors consistently have high latency or frequent failures. Set SLA-based alerts when third-party APIs exceed acceptable response times (e.g., Stripe payment API > 2s). Make informed decisions about which providers to use or when to implement fallbacks.
Yes, Atatus provides detailed API usage analytics. See request counts, unique users, and traffic patterns for each endpoint. Identify your most critical APIs that need the most reliability.
Track endpoint popularity over time. See if certain features are growing in usage. Prioritize performance optimizations for high-traffic endpoints. Make data-driven decisions about which APIs to deprecate or invest more resources in.
Monitor your API request rates in real-time and set alerts before hitting rate limits. Track requests per minute/hour for each client or API key. See usage patterns that approach your limits.
Identify which clients or features are consuming the most quota. Implement client-side throttling or caching based on actual usage data. Get alerts when approaching 80% of rate limits so you can proactively adjust before users get errors.
Intermittent 500 errors usually stem from race conditions, resource exhaustion, or flaky dependencies. Atatus captures every error with full context: request payload, user, timestamp, and stack trace.
See patterns in when errors occur (high traffic periods, specific endpoints, certain user types). Track error rates over time to detect if issues are getting worse. Distributed tracing shows exactly which service in your stack is throwing the error.
Yes, Atatus shows API latency broken down by geographic region. See if users in certain locations experience slower response times due to network distance or regional infrastructure issues.
Compare API performance across US, EU, Asia-Pacific, etc. Identify if you need regional CDNs or database replicas. Make informed decisions about where to deploy new infrastructure to serve global customers better.
Atatus uses lightweight, asynchronous instrumentation that adds negligible overhead (typically < 5ms). Monitoring data is batched and sent to Atatus in the background, not in the request path.
Our SDKs are optimized for production use. No impact on your API response times. Sampling options let you monitor a percentage of traffic for high-volume APIs if needed. Get full observability without sacrificing performance.
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