21 articles
Observability explained in plain English — what it means, how it's different from monitoring, the three pillars (metrics, logs, traces), and why every DevOps engineer needs to understand it.
Step-by-step project walkthrough: set up Prometheus, Grafana, Loki, and AlertManager on Kubernetes using Helm. Real configs, real dashboards, production-ready.
Static alerts miss 40% of real incidents. Learn how AI and ML-based anomaly detection — using tools like Prometheus + ML, Dynatrace, and custom LLM runbooks — catches what thresholds can't.
A real comparison of the three most popular monitoring tools — what they're actually good at, where they fall short, and which one fits your team's situation.
Service mesh sounds complicated but the concept is simple. Here's what it actually does, why teams use it, and whether you need one — explained without the buzzwords.
Step-by-step guide to setting up Prometheus Alertmanager for Kubernetes monitoring. Covers installation, alert rules, routing, Slack/PagerDuty integration, silencing, and production best practices.
Everything you need to know about Kubernetes VPA. Covers installation, recommendation modes, right-sizing strategies, VPA vs HPA, and production best practices for resource optimization.
LLMs are now analyzing logs, correlating alerts, and executing runbook steps autonomously. Learn how AI-powered incident response works, the tools available, and how DevOps engineers should prepare.
How to use LLMs and AI tools for intelligent log analysis in DevOps. Covers practical workflows, open-source tools, prompt engineering for logs, and building custom log analysis agents.
Everything you need to know about Cilium, the eBPF-powered CNI for Kubernetes. Covers architecture, installation, network policies, observability with Hubble, and replacing kube-proxy.
How LLMs and AI are transforming log analysis, anomaly detection, and root cause analysis — and the tools DevOps engineers should know about in 2026.
Step-by-step guide to setting up Grafana's machine learning features for anomaly detection, predictive alerting, and intelligent noise reduction. Stop alert fatigue with AI.
60% of enterprises now use AIOps self-healing. 83% of alerts auto-resolve without humans. The era of 2 AM PagerDuty wake-ups is ending. Here's what replaces it.
The definitive comparison of AIOps tools in 2026. Datadog AI, Moogsoft, PagerDuty AIOps, BigPanda, and more — features, pricing, and which one fits your team.
AI agents are moving beyond alerting into autonomous incident detection, root cause analysis, and remediation. Here's why Agentic SRE will fundamentally change how we handle production incidents.
AWS CloudWatch is the central monitoring service for everything running on AWS. This guide covers metrics, logs, alarms, dashboards, Container Insights, and production best practices.
Chaos engineering is moving from Netflix-scale novelty to expected practice at any serious engineering team. Here's why it will be as normal as unit tests within three years.
Grafana Loki is the Prometheus-inspired log aggregation system built for Kubernetes. This guide covers architecture, installation, LogQL queries, and production best practices.
Istio and Linkerd are powerful but heavy. eBPF-based networking is changing the game. Here's why I think the sidecar proxy era is ending.
OpenTelemetry is becoming the default observability standard, replacing vendor-specific agents. This guide covers what it is, how traces/metrics/logs work, and how to instrument a Node.js app end-to-end.
Learn how to set up Prometheus and Grafana from scratch in 2026. Covers metrics collection, PromQL queries, alerting rules, Alertmanager, Grafana dashboards, and Kubernetes monitoring with kube-prometheus-stack.