Golang Logs Monitoring & Observability
Effortlessly track Golang logs, gaining instant insights into errors and refining logging for a more efficient and reliable application.
Monitor Golang application logs and runtime metrics in production systems
Centralize Go application logs
Collect logs written by Golang services using standard library logging and structured loggers such as zap or logrus across APIs and background processes.
Analyze HTTP and gRPC traffic
Inspect logs generated by net/http handlers and gRPC interceptors to understand request flow, response latency, and transport-level errors.
Observe goroutine behavior
Monitor runtime metrics related to goroutine counts and scheduling while correlating log events emitted during concurrent execution.
Track memory and garbage collection
Ingest Go runtime metrics for heap usage, allocation rates, and garbage collection pauses alongside application logs.
Correlate logs with request metrics
Link structured Go logs with request duration, status codes, and handler-level metrics to investigate performance regressions.
Monitor service startup and crashes
Capture startup logs, panic stack traces, and unexpected process exits to diagnose deployment and runtime failures.
Debug concurrency and blocking
Use logs and runtime signals together to identify goroutine leaks, blocking calls, and resource contention under load.
Support containerized Go services
Aggregate logs and metrics from Golang services running in containers or virtual machines for centralized operational visibility.
Get Real-Time Visibility Into Go Logs With Atatus
Collect logs from your Go applications into Atatus so you can structure entries, search efficiently, and correlate logs with request traces for faster troubleshooting.
Track Requests Across Logs
Capturing log entries tied to requests helps you understand which operations correspond to slow traces or unexpected behavior.
Structured Parsing for Clarity
Automatically parsing key fields from Go logs makes it easier to focus on important attributes without scanning raw text.
Correlate Logs With Application Performance
Linking logs with traces and metrics provides context on how log events relate to real user requests and execution paths.
Visualize Key Performance Patterns
Viewing request counts, duration patterns, and error context directly from logs surfaces trends without manual file inspection.
Quick Filtering and Searching
Built-in search and real-time filters help you find relevant Go log entries quickly as data is ingested.
Why choose Atatus for Golang logs and metrics monitoring?
Production-grade visibility into Go service logs, runtime behavior, and concurrency
Designed for Go runtime internals
Understands Golang runtime characteristics such as goroutines, garbage collection, and memory allocation when correlating logs and metrics.
Structured logging friendly
Works seamlessly with structured Go logs to extract contextual fields like request identifiers and service metadata.
Concurrency-aware troubleshooting
Combines Go runtime metrics with log events to help analyze concurrency bottlenecks and scheduling issues.
Fast root cause analysis
Correlates panics, latency spikes, and resource saturation across logs and metrics to reduce incident resolution time.
Low-overhead for high-throughput services
Built to handle high request volumes common in Golang microservices without impacting application performance.
Works across modern Go deployments
Collects Golang logs and metrics from cloud-native, containerized, and traditional server-based environments.
Unified Observability for Every Engineering Team
Atatus adapts to how engineering teams work across development, operations, and reliability.
Developers
Trace requests, debug errors, and identify performance issues at the code level with clear context.
DevOps
Track deployments, monitor infrastructure impact, and understand how releases affect application stability.
Release Engineer
Measure service health, latency, and error rates to maintain reliability and reduce production risk.
Unified Logs Monitoring & Observability Across Different Platforms
Frequently Asked Questions
Find answers to common questions about our platform