Analyze access log requests
Inspect NGINX access logs to understand request volume, upstream response times, and HTTP status distribution.
End-to-End Request Routing and Proxy Execution Visibility
Understand backend routing behavior, concurrency pressure, and traffic anomalies affecting service delivery.
Challenges
Monitor NGINX logs to troubleshoot traffic flow and reverse proxy issues
Track upstream failures
Monitor NGINX error logs for upstream connection failures, timeouts, and bad gateway errors.
Detect configuration reload issues
Analyze NGINX startup and reload logs to identify invalid directives and syntax errors.
Monitor rate limiting events
Capture NGINX logs generated by rate limiting and request throttling rules.
Track SSL handshake problems
Inspect NGINX SSL logs to detect certificate issues and TLS negotiation failures.
Observe load balancing behavior
Analyze logs related to upstream selection and retry logic to understand traffic distribution.
Detect abnormal client behavior
Identify malformed requests, excessive retries, and suspicious traffic patterns from access logs.
Correlate edge and backend logs
Link NGINX log entries with backend service logs for end-to-end request tracing.
Request Flow and Traffic Behavior
- Monitor Nginx access logs capturing HTTP methods, upstream routing details, response status codes, and client connection patterns to understand traffic distribution across web services.
- Correlate request paths, upstream responses, and load-balancer decisions to trace end-to-end request handling flow.
- Identify failed requests, upstream timeouts, and abnormal traffic bursts impacting response delivery.
- Detect disruptions in request flow that affect application availability and overall service reliability.
Upstream and Proxy Activity
- Capture proxy logs, upstream server communication events, and load-balancing behavior across backend services.
- Correlate upstream latency, connection retries, and backend health status with changing traffic conditions.
- Identify gateway errors, upstream failures, and routing inconsistencies impacting request processing.
- Detect operational risks affecting reverse proxy stability and backend service accessibility.
Performance and Connection Signals
- Analyze connection handling logs, worker process behavior, and request processing time influencing Nginx performance.
- Correlate concurrency levels, keepalive usage, and network I/O behavior with throughput patterns.
- Identify connection saturation, slow upstream responses, and resource contention increasing latency.
- Detect performance degradation through abnormal request timing and irregular connection patterns.
Security and Access Monitoring
- Track suspicious requests, authentication failures, and unusual client behavior captured in Nginx logs.
- Identify exploit attempts, bot traffic, and unauthorized access patterns impacting application security.
- Correlate access activity with infrastructure and application events for security investigation.
- Detect operational and security risks affecting Nginx deployments.
Why Atatus
Why teams choose Atatus for NGINX logs monitoring
01
NGINX-native parsing
Atatus interprets NGINX access and error logs with upstream and request-level context automatically.
02
Edge traffic visibility
Atatus centralizes logs from all NGINX instances handling ingress and proxy traffic.
03
Faster root cause analysis
Atatus quickly identifies upstream failures, timeouts, and configuration issues.
04
Real-time alerting
Atatus triggers alerts on 4xx and 5xx spikes, timeouts, and rejected requests.
05
Backend correlation
Atatus links NGINX events with backend service logs for end-to-end tracing.
06
High-volume ingestion
Atatus reliably handles NGINX log surges during traffic peaks and deployments.
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 engineers
FAQ
Frequently Asked Questions
Pricing, deployment, data and the agent. If something is missing, a person will answer it on a demo call.
Log monitoring in Atatus allows you to gain insights into the behavior of your Nginx applications by collecting and analyzing log data. It helps identify issues, track performance, and troubleshoot errors, leading to improved application reliability and performance.
You can send Nginx logs to Atatus by integrating the Atatus Agent with your Nginx application. The Atatus Agent supports various logging libraries, such as Log4j, Winston, Bunyan and so on. By configuring the agent and updating your application's logging configuration, you can seamlessly send logs to Atatus.
Atatus supports multiple log levels, including INFO, DEBUG, WARN, and ERROR. You can configure your Nginx application to log messages at different levels, allowing you to filter and analyze logs based on severity.
Yes, Atatus enables you to set up alerts based on specific log patterns or occurrences. By creating custom log-based metrics or using predefined log query filters, you can define alert conditions and receive notifications when certain log events match the specified criteria.
Yes, Atatus supports distributed tracing for Nginx applications. By instrumenting your code with the Atatus tracing library, you can trace requests and transactions across distributed components, gaining insights into the entire application's performance.
Log data parsing prioritizes customer security by meticulously anonymizing Personally Identifiable Information (PII) data. Sensitive fields can be completely excluded during the parsing process, ensuring the privacy and compliance of customer information.
In Nginx Logs Monitoring, log pipelines are customizable workflows that allow users to filter, parse, and fine-tune log data based on specific criteria.
Log pipelines can be customized by using diverse filters and defining custom parsing rules. Users have the flexibility to configure pipelines to meet their specific monitoring requirements, ensuring that log data is processed and organized according to their preferences.
Yes, log pipelines can be configured to filter log data based on various attributes such as log source, severity, timestamp, or any custom field. This customization allows users to focus on specific aspects of log data that are most relevant to their monitoring goals.
Saved Views in Nginx Logs Monitoring enable you to create and save custom configurations for different troubleshooting scenarios. This feature simplifies collaboration, allows for quick context switching, and automates repetitive tasks, significantly improving overall efficiency.
If you exceed your log ingestion limits, we would contact you to discuss on stopping further processing new log data or upgrade your subscription.
You can choose to store logs in Atatus for a limited time (e.g., 7 days) or export them to external storage solutions like Amazon S3 for long-term retention.
To access historical log data beyond the retention period, you can rely on log data exports from Amazon S3, where you can push the logs into Atatus for further analysis.
Yes, Atatus provides users with the flexibility to customize log retention settings. Users can adjust retention periods based on their specific needs, aligning with compliance standards or internal data management policies.