Monitoring & Observability
Application Performance Monitoring
Application Performance Monitoring traces every request through your application — from the HTTP handler through business logic, database queries, cache lookups, and external API calls. It shows you exactly where time is spent, which queries are slow, and which errors affect users. We set up APM using the tool that fits your budget and stack.
Need this done for your project?
We implement, you ship. Async, documented, done in days.
What We Deliver
APM instrumentation for your application with transaction tracing, error capture with stack traces, database query analysis (slow queries, N+1 detection), external service call monitoring, custom span creation for business-critical code paths, and dashboards showing request rate, error rate, and latency distribution (the RED method).
Tool Selection
We help you choose the right APM tool: OpenTelemetry + Jaeger/Tempo for open-source, Datadog APM for all-in-one commercial monitoring, New Relic APM for generous free tier, Elastic APM for ELK stack users, or SigNoz for open-source with a Datadog-like UI. The choice depends on your existing monitoring stack, budget, and feature requirements.
Instrumentation
We instrument your application with automatic and manual tracing. Automatic instrumentation captures HTTP handlers, database drivers, cache clients, and HTTP clients without code changes. Manual instrumentation adds custom spans for business logic, batch operations, and third-party SDK calls. Context propagation ensures traces flow across service boundaries, message queues, and async operations.
Database Performance
APM traces include database query details — the actual SQL query, execution time, rows affected, and connection pool metrics. We configure detection rules for: queries exceeding latency thresholds, N+1 query patterns, missing index suggestions (based on query explain plans), and connection pool exhaustion warnings. Database performance issues become visible before they affect users.
Error Tracking
Exceptions and errors are captured with full stack traces, request context, and user information. Errors are grouped by root cause, so 1000 identical errors appear as a single issue with a count. Error rate alerts fire when new error patterns emerge or known errors spike. Integration with issue trackers (GitHub Issues, Linear, Jira) creates tickets from error groups.
How It Works
Purchase the engagement, submit your async brief with your application stack and performance concerns, and receive a complete APM setup within 5–7 business days. Instrumentation, dashboards, and alerting rules included.
Why Anubiz Engineering
100% async — no calls, no meetings
Delivered in days, not weeks
Full documentation included
Production-grade from day one
Security-first approach
Post-delivery support included
Ready to get started?
Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.