2026.03.21E·86OpenTelemetry: Finding Bottlenecks with Distributed Tracing
How do you find where requests slow down in a microservices system? Learn how OpenTelemetry ties logs, metrics, and traces together to pinpoint bottlenecks with real code examples.
OpenTelemetryObservabilityDistributed Tracing
→2026.03.01I·20Solo Developer Monitoring: Is Vercel Analytics + UptimeRobot Enough?
My service was down for 12 hours and I had no idea. How I built a minimal monitoring stack as a solo developer with free and low-cost tools.
MonitoringVercel AnalyticsUptimeRobot
→2026.02.28I·19Sentry Setup in Practice: Know About Errors Before Your Users Do
I was tired of users reporting errors before I knew about them. How I set up Sentry in a Next.js project for real-time error tracking and alerting.
SentryError TrackingMonitoring
→2026.01.02E·47Production Error Tracking: Catch Bugs Before Your Users Report Them
Your app works perfectly on localhost but crashes in production. Set up Sentry and error tracking to catch bugs before users complain.
SentryError TrackingProduction
→2025.08.05I·10Would You Drive with Your Eyes Closed? (Why You Need Monitoring)
Users complained the service was slow, but I was blindly grepping log files. I share how I moved from 'driving blind' to full observability using Prometheus and Grafana, and explain Google's 4 Golden Signals of monitoring.
DevOpsMonitoringPrometheus
→2025.06.07I·05Taming the Log Tsunami with ELK Stack
Logs are the black box of your infrastructure. When disaster strikes, grep is not enough. We explore the ELK Stack—the industry standard for centralized logging. Understand the roles of Elasticsearch, Logstash, and Kibana, compare modern alternatives like Fluentd and Vector, and learn strategies for Index Lifecycle Management (ILM).
DevOpsMonitoringLogging
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