Finding API Errors in Millions of Logs
“We have millions of API log entries per day. Finding the specific error that caused a customer issue is like finding a needle in a haystack.”
API Logs Monitoring
Track and analyze API logs to gain a deeper understanding of how APIs are being used. With our organized event-focused API metrics and super-fast search system, view live insights into your API failures, response and request payloads, regardless of whether you're working on REST, GraphQL, or decentralized APIs.
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
No Context Around API Failures
“Logs show an API error occurred, but we don't know which user, what request payload, or what state the system was in.”
Can't Correlate Logs Across Services
“Request flows through 5 microservices. Logs are scattered across systems with no way to connect them to the same transaction.”
Log Storage Costs Exploding
“We're spending thousands per month on log storage, but 95% of logs are never read or analyzed.”
Instant Log Detection
- Search across all API logs to quickly identify failures, slow requests, and unexpected behavior during production issues.
- Eliminate noisy log digging by isolating only relevant API requests when incidents occur.
- Filter logs by endpoint, status code, user, service, or custom fields to uncover recurring error or latency patterns.
- Trigger alerts when log signals indicate issues such as rising 5xx errors, authentication failures, or abnormal response times.
Structured Log Insights
- Capture structured API logs with consistent fields such as endpoint, latency, status code, HTTP method, and custom tags.
- Break down logs by environment, region, version, or customer segment to quickly locate the source of failures.
- Enable reliable aggregation, filtering, and comparison using structured and queryable log formats.
- Accelerate investigations and reduce guesswork by working with clean, normalized log data.
Contextual Log Analysis
- Correlate API logs with related metrics, traces, and events to understand both symptoms and root causes.
- Group logs using request IDs or trace identifiers to reconstruct end-to-end request flows.
- Identify cascading failures by observing how errors propagate across dependent services.
- Resolve incidents faster by analyzing logs alongside performance and infrastructure data in a unified view.
Smart Log Retention
- Control log retention policies to prioritize high-value API data while minimizing storage costs.
- Retain critical logs such as errors, slow requests, and key endpoints for troubleshooting and audit requirements.
- Sample or limit low-value traffic while preserving visibility into important behaviors.
- Apply retention rules by service, environment, or log level so teams always have the right data during incidents.
Outcomes
How Atatus Transforms Your Operations
Measurable improvements across your DevOps workflows and business metrics
- 01
Find Critical API Errors in Seconds
10x faster log searchPowerful search and filtering across all API logs with automatic error detection and intelligent grouping.
- DevOps impact
- Full-text search, regex patterns, and field-level filtering on structured API logs
- Business impact
- Resolve customer issues 10x faster with instant log access
- 02
Complete Request Context for Every Error
90% reduction in debug timeAutomatically capture request/response payloads, headers, user context, and system state when errors occur.
- DevOps impact
- No more 'unable to reproduce' - full context available for every logged error
- Business impact
- Faster debugging and fewer escalations to engineering
- 03
Trace Requests Across All Microservices
Cross-service visibilityAutomatic correlation of logs across services using trace IDs, showing the complete request journey.
- DevOps impact
- See logs from all services involved in a single request in chronological order
- Business impact
- Identify which service in the chain caused the issue instantly
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 logs monitoring involves tracking and analyzing log data generated by API endpoints, services, and applications. It's essential for gaining insights into API activity, troubleshooting issues, detecting anomalies, and ensuring the reliability and security of API-based systems.
Atatus supports monitoring logs from various sources, including web servers, application frameworks, databases, microservices, and custom applications. Users can ingest logs in different formats and structures, making it versatile for monitoring diverse API environments.
Yes, Atatus offers seamless integration and correlation between logs, metrics, and traces through its unified observability platform. By correlating logs with metrics and traces generated by distributed tracing systems like OpenTelemetry or Jaeger, Atatus provides comprehensive visibility into the end-to-end behavior of API requests, enabling engineers to pinpoint performance bottlenecks and troubleshoot issues more effectively.
Yes, Atatus can monitor both internal and external APIs, including third-party integrations. It supports various protocols and frameworks commonly used in API development, such as REST, GraphQL, SOAP, and more. By monitoring third-party APIs, teams can ensure the reliability and performance of their entire ecosystem.
Atatus Logs monitoring solution supports flexible log ingestion and parsing mechanisms, including built-in parsers for common log formats like JSON, syslog, and Apache/Nginx access logs. Additionally, Atatus provides custom parsing rules and regex-based pattern matching capabilities, empowering users to extract structured data from semi-structured or unstructured log sources typically encountered in API environments.
Yes, Atatus enables real-time monitoring and alerting for API logs. Users can set up custom alerts based on log patterns, thresholds, or anomalies to receive notifications promptly when issues occur, allowing for proactive troubleshooting and resolution.
Atatus offers flexible log retention policies that allow users to define retention periods based on compliance requirements, operational needs, or cost considerations.
Additionally, Atatus provides archiving options to offload older log data to durable storage solutions like Amazon S3 or Google Cloud Storage for long-term retention and historical analysis, ensuring compliance with regulatory standards and optimizing storage costs.
A logs pipeline in Atatus refers to the sequence of steps involved in processing log data from ingestion to analysis and visualization.
It encompasses log collection, parsing, enrichment, storage, and analysis, enabling users to gain insights from log data effectively. The logs pipeline in Atatus ensures that log data is processed efficiently and made available for real-time monitoring, alerting, and troubleshooting.
Atatus supports a wide range of products across various domains to help organizations monitor and optimize their systems and applications.
- Application Performance Monitoring
- Real User Monitoring
- Synthetic Monitoring
- Logs Monitoring
- Infrastructure Monitoring
- API Analytics
- Database Monitoring
- Kubernetes Monitoring
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