# Tracekit blog

Engineering articles about observability, OpenTelemetry, production debugging, and AI systems.

- [FastAPI Tracing with OpenTelemetry: A Practical Setup](https://tracekit.dev/blog/fastapi-distributed-tracing-opentelemetry.md): Set up FastAPI tracing with OpenTelemetry. Connect request, SQLAlchemy, and HTTPX spans, then verify trace context across services. Published 2026-09-15T00:00:00.000Z.
- [How to Track Rogue LLM Calls in Production](https://tracekit.dev/blog/track-rogue-llm-calls-production.md): Track rogue LLM calls with traces, call counts, token usage, costs, models, and retry evidence before a loop becomes an incident. Published 2026-09-09T00:00:00.000Z.
- [Trace Based Alerts: Setup and Sampling Pitfalls](https://tracekit.dev/blog/trace-based-alerts-setup-sampling.md): Set up trace based alerts for errors and latency. Check sampling, request counts, time windows, and notification context before paging. Published 2026-09-03T00:00:00.000Z.
- [Migrate to OpenTelemetry Without Downtime](https://tracekit.dev/blog/migrate-to-opentelemetry-without-downtime.md): Migrate to OpenTelemetry without downtime with a parallel Collector path, trace parity checks, and a safe service-by-service cutover. Published 2026-08-31T00:00:00.000Z.
- [How to Monitor LLM Call Latency in Production Workflows](https://tracekit.dev/blog/monitor-llm-call-latency-production-workflows.md): Monitor LLM call latency in production workflows with traces, model percentiles, token usage, costs, errors, and workflow context. Published 2026-08-26T00:00:00.000Z.
- [Node.js monitorEventLoopDelay and eventLoopUtilization](https://tracekit.dev/blog/nodejs-monitoreventloopdelay-eventlooputilization.md): Use Node.js monitorEventLoopDelay and eventLoopUtilization to measure event-loop lag, export useful metrics, and debug blocking production code. Published 2026-08-25T00:00:00.000Z.
- [Sentry Go SDK Advanced Configuration Guide](https://tracekit.dev/blog/sentry-go-sdk-advanced-configuration.md): Configure the Sentry Go SDK for trace sampling, releases, environments, breadcrumbs, event filtering, request scope, and reliable delivery. Published 2026-08-24T00:00:00.000Z.
- [dd-trace Init Order in Node.js: CommonJS and ESM](https://tracekit.dev/blog/dd-trace-init-order-nodejs.md): Fix dd-trace init order in Node.js with correct CommonJS, ESM, TypeScript, and bundler startup patterns when spans or routes disappear. Published 2026-08-21T00:00:00.000Z.
- [Honeycomb APM for Small Teams: Querying vs Runtime State](https://tracekit.dev/blog/honeycomb-apm-for-small-teams.md): Honeycomb APM explained for small teams: query-first observability, pricing tradeoffs, and when you still need runtime state to debug production. Published 2026-08-08T00:00:00.000Z.
- [PHP Observability Checklist for Production Apps](https://tracekit.dev/blog/php-observability-production-checklist.md): Use this PHP observability checklist to trace requests, surface PDO and HTTP bottlenecks, and inspect runtime state without redeploying. Published 2026-08-02T00:00:00.000Z.
- [Best APM Tools for 2026: What to Compare Before You Commit](https://tracekit.dev/blog/best-apm-tools-2026.md): Compare the best APM tools for 2026 by debugging workflow, OpenTelemetry fit, pricing model, and runtime-state visibility. Published 2026-07-31T00:00:00.000Z.
- [Django Observability Checklist for Production](https://tracekit.dev/blog/django-observability-production-checklist.md): Build Django observability with traces, query visibility, alerts, and dynamic logs so you can debug production issues without guessing. Published 2026-07-29T00:00:00.000Z.
- [SigNoz Laravel Setup: OpenTelemetry, Queue Context, and a Managed APM Alternative](https://tracekit.dev/blog/signoz-laravel-setup-open-telemetry-vs-managed-apm.md): Use this SigNoz Laravel guide to wire OpenTelemetry, keep queue context intact, and compare that setup with a managed Laravel APM path. Published 2026-07-29T00:00:00.000Z.
- [NestJS Monitoring: HTTP, Queues, and Trace Gaps](https://tracekit.dev/blog/nestjs-tracing-opentelemetry-production-guide.md): Use this NestJS monitoring checklist to check request latency, errors, queue workers, and trace context before an incident hides the failing path. Published 2026-07-18T00:00:00.000Z.
- [How to Visualize OpenTelemetry Traces Online](https://tracekit.dev/blog/otel-trace-viewer-guide.md): Visualize OpenTelemetry traces online, read the waterfall, fix export errors, and choose the right OTel trace viewer for each debugging job. Published 2026-07-15T00:00:00.000Z.
- [Vite Source Maps for Error Tracking](https://tracekit.dev/blog/vite-source-maps-error-tracking.md): Set up Vite source maps for error tracking so production stack traces point to real files, lines, and functions instead of minified bundles. Published 2026-07-14T00:00:00.000Z.
- [FastAPI Background Tasks: Production Checklist](https://tracekit.dev/blog/fastapi-observability-checklist-production.md): Use this FastAPI background tasks production checklist to catch silent failures, blocked workers, lost trace context, and release regressions. Published 2026-07-13T00:00:00.000Z.
- [Debugging Gin Apps: Tracing and Performance Tips](https://tracekit.dev/blog/debugging-gin-framework-applications-tracing-performance-tips.md): Debug Gin framework apps in production with OpenTelemetry tracing, pprof profiling, GORM query optimization, and structured logging for Go services. Published 2026-03-13T00:00:00.000Z.
- [Laravel Production Debugging: Beyond Logs and Error Tracking](https://tracekit.dev/blog/laravel-production-debugging-beyond-logs-and-error-tracking.md): Debug Laravel in production beyond dd() and Log::info(). Use Telescope, dynamic logs, distributed tracing, and performance profiling. Published 2026-03-11T00:00:00.000Z.
- [OpenTelemetry PHP Auto-Instrumentation for Laravel](https://tracekit.dev/blog/opentelemetry-php-setup-complete-laravel-guide.md): Set up OpenTelemetry PHP auto-instrumentation for Laravel, configure OTLP before autoload, and verify request, SQL, and queue trace boundaries. Published 2026-03-09T00:00:00.000Z.
- [Debug Production Without Redeploying: Step-by-Step Guide](https://tracekit.dev/blog/debug-production-without-redeploying-step-by-step-guide.md): Step-by-step guide to debugging production without redeploying. Set up dynamic logs for PHP, Node.js, Go, and Python in minutes. Published 2026-03-07T00:00:00.000Z.
- [Fix Intermittent 500 Errors: A Systematic Approach](https://tracekit.dev/blog/fix-intermittent-500-errors-systematic-approach.md): Fix intermittent 500 errors systematically. Reproduce, investigate logs, trace requests, and capture application state to find the root cause. Published 2026-03-04T00:00:00.000Z.
- [Why Your Production Logs Never Have What You Need](https://tracekit.dev/blog/production-logs-missing-data-troubleshooting.md): Why production logs never have what you need and how to fix it. Replace reactive logging with dynamic logs and tracing to cut debug time by 80%. Published 2026-03-02T00:00:00.000Z.
- [Spring Boot Production Debugging: Beyond Logging](https://tracekit.dev/blog/spring-boot-production-debugging-beyond-logging.md): Debug Spring Boot in production beyond logging. Use dynamic logs, distributed tracing, database monitoring, and AI alerts without redeploying. Published 2026-02-27T00:00:00.000Z.
- [Debug Django Apps in Production Without Redeploying](https://tracekit.dev/blog/debug-django-apps-in-production-without-redeploying.md): Debug Django apps in production without DEBUG=True or redeploying. Use dynamic logs, flame graphs, and distributed tracing to fix issues in real time. Published 2026-02-25T00:00:00.000Z.
- [New Relic Alternative for Bootstrapped Startups](https://tracekit.dev/blog/new-relic-alternative-for-bootstrapped-startups.md): New Relic alternative for bootstrapped startups. Distributed tracing and dynamic logs starting at $29/month instead of $500+. 5-minute setup. Published 2026-02-23T00:00:00.000Z.
- [Your API Just Threw a 500. Here's How to Actually Fix It.](https://tracekit.dev/blog/your-api-just-threw-a-500-heres-how-to-actually-fix-it.md): Your API threw a 500 at 3 AM. A systematic approach to diagnose, trace, and fix production API errors without the panic and guesswork. Published 2026-02-13T00:00:00.000Z.
- [Sentry vs TraceKit: Error Tracking vs Full Debugging](https://tracekit.dev/blog/sentry-vs-tracekit-error-tracking-vs-full-debugging.md): Sentry vs TraceKit compared: error tracking vs full production debugging. Feature-by-feature comparison with pricing, setup time, and use case guidance. Published 2026-02-11T00:00:00.000Z.
- [Zero-Cost Production Visibility: APM Without the Datadog Bill](https://tracekit.dev/blog/zero-cost-production-visibility-apm-without-the-datadog-bill.md): Get production visibility without the Datadog bill. Free-tier APM setup with OpenTelemetry for freelancers and small teams who need traces, not invoices. Published 2026-02-11T00:00:00.000Z.
- [Best Datadog Alternatives Under $50/Month (2026)](https://tracekit.dev/blog/best-datadog-alternatives-under-50-month.md): 5 Datadog alternatives under $50/month for startups. Compare TraceKit, Highlight.io, HyperDX, OpenObserve, and SigNoz on features, pricing, and setup. Published 2026-02-09T00:00:00.000Z.
- [AI Production Debugging: Fix AI-Generated Code in Production](https://tracekit.dev/blog/production-debugging-for-ai-generated-code-what-you-need-to-know.md): AI tools ship code fast, but debugging it in production is different. Learn how to trace, diagnose, and fix issues in AI-generated code without redeploying. Published 2026-02-09T00:00:00.000Z.
- [Express.js Production Debugging Guide for Node Devs](https://tracekit.dev/blog/express-js-production-debugging-guide-node-developers.md): Debug Express.js in production: error middleware, async handling, structured logging with Pino, OpenTelemetry tracing, and dynamic logs. Published 2026-02-06T00:00:00.000Z.
- [Why I Built Tracekit: The APM Small Teams Actually Need](https://tracekit.dev/blog/why-i-built-tracekit-apm-for-small-teams-2.md): Why I built TraceKit: enterprise APM costs $500+/month and free tools lack real debugging. TraceKit fills the gap at $29/month for small teams. Published 2026-02-06T00:00:00.000Z.
- [Tracekit vs Datadog for Small Engineering Teams](https://tracekit.dev/blog/tracekit-vs-datadog-apm-for-small-teams.md): Compare Tracekit and Datadog for small engineering teams by pricing units, product scope, OpenTelemetry support, and debugging workflow. Published 2026-02-04T00:00:00.000Z.
- [Debugging Distributed Systems with Session Context](https://tracekit.dev/blog/debugging-distributed-systems-session-context.md): Use session context to debug distributed systems. Attach trace IDs and correlation IDs to requests for seamless tracking across microservices. Published 2026-02-02T00:00:00.000Z.
- [How to Debug User Behavior in Production Apps](https://tracekit.dev/blog/observable-debugging-steps-production-apps.md): Debug user behavior in production apps with session replay, frontend errors, backend traces, privacy controls, and targeted runtime state. Published 2026-01-30T00:00:00.000Z.
- [How to Debug Spring Boot Microservices in Production](https://tracekit.dev/blog/debug-spring-boot-microservices-in-production.md): Debug Spring Boot microservices in production step by step. Fix bugs, resolve misconfigurations, and trace cascading failures across services. Published 2026-01-28T00:00:00.000Z.
- [Error Impact Analyzer](https://tracekit.dev/blog/error-impact-analyzer.md): Assess the real impact of application errors. Analyze error frequency, affected components, and user impact to prioritize the fixes that matter most. Published 2026-01-26T00:00:00.000Z.
- [Debugging Time Estimator](https://tracekit.dev/blog/debugging-time-estimator.md): Estimate debugging time based on codebase size, error type, and complexity. Plan sprints better and prioritize the right bugs first. Published 2026-01-23T00:00:00.000Z.
- [How to Monitor Python Web Apps with OpenTelemetry](https://tracekit.dev/blog/real-time-performance-monitoring-python-applications.md): Monitor Python web applications with OpenTelemetry using auto-instrumentation, OTLP export, dependency spans, validation, and production safeguards. Published 2026-01-09T00:00:00.000Z.
- [7 Signs Your Production Debugging Process Is Broken](https://tracekit.dev/blog/signs-production-debugging-process-broken.md): 7 warning signs your production debugging is broken: recurring bugs, slow log analysis, invisible anomalies, and more. Diagnose and fix your process. Published 2026-01-07T00:00:00.000Z.
- [Debugging Distributed Systems: Guide for Small Teams](https://tracekit.dev/blog/debugging-distributed-systems-complete-guide-small-teams.md): Debug distributed systems on a budget. Practical strategies for small teams: observability basics, centralized logging, OpenTelemetry, and AI-assisted diagnosis. Published 2026-01-05T00:00:00.000Z.
- [Production Debugging: When to Use Logs vs. Live Breakpoints](https://tracekit.dev/blog/production-debugging-logs-vs-live-breakpoints.md): When to use logs vs live breakpoints in production. Logs track event history; live breakpoints inspect variables in real time without redeploying. Published 2026-01-02T00:00:00.000Z.
- [How to Debug Production APIs Without Logs](https://tracekit.dev/blog/debug-production-apis-without-logs.md): Debug production APIs without relying on logs. Use distributed tracing, dynamic logs, and AI anomaly detection to find root causes 70% faster. Published 2025-12-31T00:00:00.000Z.
- [How to Trace Code Latency Spikes in Production](https://tracekit.dev/blog/debugging-latency-issues-without-redeploying.md): Trace code latency spikes with metrics, distributed traces, custom spans, and runtime state. Follow a practical production workflow. Published 2025-12-29T00:00:00.000Z.
- [Live Breakpoints vs. Traditional Debugging](https://tracekit.dev/blog/live-breakpoints-vs-traditional-debugging.md): Live breakpoints vs traditional debugging compared. When to use each for production issues, with side-by-side feature and performance analysis. Published 2025-12-26T00:00:00.000Z.
- [Message Latency Tracking in Microservices](https://tracekit.dev/blog/best-practices-real-time-metrics-microservices.md): Instrument message latency tracking in microservices with OpenTelemetry spans, queue-age metrics, trace context, percentiles, and practical alert rules. Published 2025-12-24T00:00:00.000Z.
- [Distributed Tracing for Root Cause Analysis](https://tracekit.dev/blog/distributed-tracing-root-cause-analysis.md): Use distributed tracing for root cause analysis. Track requests across microservices with trace IDs and spans to pinpoint bottlenecks and failures. Published 2025-12-23T00:00:00.000Z.
- [The Real Cost of the Guess-and-Redeploy Cycle](https://tracekit.dev/blog/real-cost-guess-redeploy-cycle-break.md): The guess-and-redeploy cycle costs 1,000x more than catching bugs early. Break the cycle with dynamic logs and AI-powered observability. Published 2025-12-12T00:00:00.000Z.
- [Best Anomaly Detection Tools for Small Dev Teams (2026)](https://tracekit.dev/blog/anomaly-detection-tools-small-development-teams.md): Compare 6 anomaly detection tools built for small teams. Real-time alerting, easy setup, and affordable pricing. Find the right fit for your stack. Published 2025-12-10T00:00:00.000Z.
- [Service Dependency Mapping Accuracy: Fix Blind Spots](https://tracekit.dev/blog/service-dependency-mapping-problems-solutions.md): Improve service dependency mapping accuracy by finding missing trace edges, stale services, broken context, and fragmented monitoring data. Published 2025-12-08T00:00:00.000Z.
- [Complete Guide to Application Observability for Startups](https://tracekit.dev/blog/complete-guide-application-observability-startups.md): Practical observability for startups: logs, metrics, traces with OpenTelemetry, cost-saving sampling, AI-driven detection, and CI/CD integration. Published 2025-12-05T00:00:00.000Z.
- [7 Best Practices for Root Cause Analysis in Production](https://tracekit.dev/blog/best-practices-root-cause-analysis-production.md): Practical RCA steps for production: define clear problems, collect logs and traces, map events, prioritize fixes, and validate changes with monitoring. Published 2025-12-03T00:00:00.000Z.
- [What Are Live Breakpoints and How Do They Work?](https://tracekit.dev/blog/live-breakpoints-how-they-work.md): How live breakpoints work: debug production apps without pausing them. Capture variable snapshots, call stacks, and performance data in real time. Published 2025-12-01T00:00:00.000Z.
- [Production Debugging Checklist for Small Dev Teams](https://tracekit.dev/blog/production-debugging-checklist-small-dev-teams.md): Production debugging checklist for small dev teams: structured logs, focused alerts, fast triage, tracing, fixes, and post-mortems to prevent repeat issues. Published 2025-11-28T00:00:00.000Z.
- [Application Monitoring vs Observability: Key Differences](https://tracekit.dev/blog/application-monitoring-vs-observability-key-differences.md): Explore the key differences between application monitoring and observability, and learn how they work together to enhance system reliability. Published 2025-11-26T00:00:00.000Z.
- [5 Ways to Debug Production Apps Without Redeploying](https://tracekit.dev/blog/debug-production-apps-without-redeploying-methods.md): Explore five innovative ways to debug production applications in real-time without redeploying, ensuring smooth user experiences. Published 2025-11-24T00:00:00.000Z.
- [Go Observability: Complete Guide for Production Applications](https://tracekit.dev/blog/go-observability-complete-guide-for-production-applications.md): Go observability for production: OpenTelemetry setup for Gin, Echo, gRPC, and GORM. Distributed tracing, metrics, and monitoring for Go services. Published 2025-11-22T00:00:00.000Z.
- [Debug Production Live with Dynamic Logs](https://tracekit.dev/blog/code-monitoring-debug-production-without-stopping-your-application.md): Debug production apps with dynamic logs and log points. Capture variable state without redeploying or stopping your application. Published 2025-11-21T00:00:00.000Z.
- [Find N+1 Query Regressions with Execution Traces](https://tracekit.dev/blog/how-to-detect-and-fix-n1-query-problems-complete-guide.md): Use execution traces to find N+1 query regressions, compare database span patterns across releases, and verify ORM fixes in production. Published 2025-11-20T00:00:00.000Z.
- [OpenTelemetry Implementation Guide: Step-by-Step Setup (2026)](https://tracekit.dev/blog/opentelemetry-101-complete-guide.md): Complete OpenTelemetry setup guide. Install the SDK, configure exporters, and ship your first traces in under 5 minutes. Covers Node.js, Python, Go, and Java. Published 2025-11-19T00:00:00.000Z.
- [Node.js Application Performance Monitoring Guide](https://tracekit.dev/blog/node-js-monitoring-complete-guide-for-production-apps.md): Use Node.js application performance monitoring to connect request traces, event loop health, dependencies, releases, and runtime state. Published 2025-11-14T00:00:00.000Z.
- [Observability Definition: Complete Guide for 2026](https://tracekit.dev/blog/observability-definition-complete-guide-for-2025.md): What is observability? Complete guide covering the three pillars (metrics, logs, traces), implementation strategies, and tools for modern software systems. Published 2025-11-13T00:00:00.000Z.
- [TraceKit vs Datadog: Same Traces, 80% Less ($29/mo vs $200+)](https://tracekit.dev/blog/reduce-datadog-bill-by-80-complete-migration-guide.md): Cut your Datadog bill by 80%. Real migration story: $4,800 to $950/month with side-by-side feature comparison and step-by-step migration guide. Published 2025-11-12T00:00:00.000Z.
- [Laravel OpenTelemetry Tracing: Production Setup](https://tracekit.dev/blog/laravel-observability-best-practices-for-2025.md): Add OpenTelemetry tracing to Laravel with verified request, database, queue, and HTTP client spans, plus production checks for trace gaps. Published 2025-11-11T00:00:00.000Z.
- [Debug Production Issues 10x Faster with Tracing](https://tracekit.dev/blog/debug-production-issues-faster.md): Debug production issues 10x faster with distributed tracing. Track requests across microservices, find bottlenecks, and resolve errors without log diving. Published 2025-11-08T00:00:00.000Z.
- [How to Read a Flame Graph and Find CPU Bottlenecks](https://tracekit.dev/blog/understanding-flame-graphs-a-visual-guide-to-performance-debugging.md): Learn how to read a flame graph, separate CPU samples from trace timing, find wide hotspots, and verify each performance bottleneck. Published 2025-11-08T00:00:00.000Z.