Tag: monitoring

Alert when disk space crosses thresholds with bash scripts

Add proper health checks to Docker containers with HEALTHCHECK

Build interactive Grafana dashboards that visualize Prometheus metrics with panels, variables, and alerts for thorough service observability

Instrument applications and infrastructure with Prometheus metrics, configure alerting rules, and set up recording rules for efficient monitoring of service health

Build a custom Prometheus metrics exporter in Python using prometheus_client for counters, gauges, histograms, and summaries.

Alert when disk space crosses thresholds using a Bash script that checks mount points and notifies operators.

Trace requests across distributed microservices with OpenTelemetry, Jaeger, and Zipkin for latency debugging and performance optimization.

Centralize logs from distributed services with ELK, Fluentd, and Loki for search, alerting, and troubleshooting in production.

Collect, aggregate, and expose application and infrastructure metrics with Prometheus, StatsD, and OpenTelemetry for monitoring and alerting.

Monitor API performance and health with Prometheus metrics, custom collectors, and alerting rules.

Monitor actual user experiences with Core Web Vitals, session replay, and performance analytics to identify real-world bottlenecks.

Implement structured logging with JSON output, correlation IDs, and log aggregation for production observability.

A template for defining API SLA thresholds, error rate alerts, and monitoring dashboards.

A document template for defining structured logging conventions, log levels, retention, and observability requirements across services.

A policy template that defines how alerts are configured, routed, escalated, and reviewed across services and infrastructure.

A thorough checklist for verifying that a service, feature, or system is ready for production deployment and ongoing operation.

A template for defining reliability targets, error budgets, and measurement methods for services and systems.

A template for designing observability dashboards with SLOs, error budgets, service health, and contextual information for on-call teams.

Template for defining and enforcing web performance budgets: LCP, INP, CLS targets, resource budgets for JS, CSS, images, fonts, third-party scripts, CI/CD integration with Lighthouse CI, and alerting thresholds with examples for Next.js, Astro, and SPA architectures.

Build a production monitoring stack. Covers Prometheus, Grafana, AlertManager, metrics instrumentation, alert rules, runbooks, SLI/SLO/SLA, distributed tracing with Jaeger, log aggregation, and on-call best practices with practical configuration examples.

A guide to building observable systems with structured logging, metrics, and distributed tracing.

A practical guide to observability: the three pillars (metrics, logs, traces), RED and USE methods, alert design, and building dashboards that actually help.

Run Apache Kafka in production with confidence. Covers partitions, replication, consumer groups, monitoring, performance tuning, and operational best practices for high-throughput streaming pipelines.

Master distributed tracing with OpenTelemetry, Jaeger, and Zipkin. Trace propagation across services, span context, sampling strategies, and production debugging.

Set up metrics, logs, and traces with Grafana, Prometheus, Loki, and Tempo. Covers instrumentation, dashboards, alerting, and distributed tracing for production systems.

Master Prometheus metrics collection and Grafana dashboards. Covers metric types, PromQL, service instrumentation, alerting rules, and production deployment patterns.

Master Sentry for production error tracking. Covers SDK integration in Python, Node.js, Java, release tracking, source maps, performance monitoring, and alerting.