grafana
grafana
How We Cut Our Prometheus / VictoriaMetrics Storage Bill by 60% (Cardinality Audit Walkthrough)
The bill that made me open a support ticket with myself Last October our VictoriaMetrics cluster crossed 340 million active time series and our monthly infra cost for the storage tier hit $4,900. Nobody had approved that number. It just… grew, the way disk usage always grows, one Helm chart install at a time until finance asks why the “monitoring” line item is bigger than the “database” line item. I spent the better part of a week doing a cardinality audit on that cluster.
Fixing alert fatigue: what actually works
Every noisy alert your team learns to dismiss makes the real one easier to miss too. Here's how alert fatigue actually happens, and how to fix it.
Monitoring stack for a fintech platform
Prometheus, Grafana, and alerting rollout that cut incident response time by 50%.
Set Up Grafana Alerts and Notifications via Slack, Email, or Webhook
I’ll admit it: I used to be the person who constantly refreshed my Grafana dashboards, nervously watching a CPU usage graph creep upwards. It was like babysitting a pot of water, waiting for it to boil. This, of course, is not a scalable strategy for managing a smart home system or any observability stack. The whole point of having these beautiful dashboards is to be proactive, not reactive. That’s where Grafana alerts come in.
Visualizing Time Series Data Using Grafana’s Transform and Threshold Tools
I’ve been staring at Grafana dashboards for years now—first while monitoring complex cloud infrastructure, and more recently to keep tabs on my increasingly smart (and sometimes overly opinionated) home. There’s a particular frustration that comes with a dashboard that shows data but doesn’t tell a story. You know the one: a tangled mess of lines on a graph, all in the same color, leaving you squinting and asking, “Okay, but is this good or bad?
Detect Outliers in Your Metrics: A Practical Guide to Grafana Machine Learning
I’ve always been the kind of person who stares at a Grafana dashboard, watching a squiggly line, and wondering, “Is that dip normal? Should I be worried?” For years, my answer was to set up a basic threshold alert. If CPU usage goes above 90%, page someone. But what about the weird, subtle stuff? The slow creep of memory leakage or the sudden, inexplicable drop in request rate that doesn’t cross any static line but just feels… off?
Monitor Home Internet Speed Automatically with Prometheus and Speedtest Exporter
I've been battling my internet service provider for months over sporadic slowdowns that always seem to happen right before my important video calls. Sound familiar? After one too many "everything looks fine on our end" responses, I decided to take matters into my own hands and build a system that automatically tracks my internet speed 24/7. In this tutorial, I'll show you how to set up your own internet speed monitoring system using Prometheus and a Speedtest Exporter.
Using PromQL to Analyze CPU, Memory, and Network Metrics Effectively
If you’ve ever stared at a Grafana dashboard wondering why your server’s CPU is spiking like a caffeinated squirrel, you’re not alone. Prometheus and PromQL are my go-to tools for making sense of infrastructure metrics—once you get the hang of them, they’re like having X-ray vision for your systems. In this guide, I’ll walk you through writing effective PromQL queries to monitor CPU, memory, and network performance. Whether you’re debugging a mysterious latency issue or just keeping an eye on resource usage, these tips will save you hours of head-scratching.
Building a Monitoring Stack with Prometheus, VictoriaMetrics, and Grafana: A Full Setup Guide
Ever found yourself drowning in server logs, wondering why your application crashed again at 3 AM? I’ve been there—more times than I’d like to admit. That’s why I built a robust monitoring stack with Prometheus, VictoriaMetrics, and Grafana to keep an eye on my systems. In this guide, I’ll walk you through setting up this powerful trio to collect, store, and visualize metrics at scale—without losing your sanity. Why This Stack?
Log Aggregation Using Grafana Loki: A Beginner’s Guide
Ever stared at a mountain of logs, desperately searching for that one error that crashed your service? I’ve been there—more times than I’d like to admit. That’s why I fell in love with Grafana Loki, a lightweight log aggregation system that pairs perfectly with Grafana for seamless troubleshooting. In this guide, I’ll walk you through setting up Loki to collect logs and correlate them with metrics in Grafana. By the end, you’ll have a powerful observability stack that makes debugging feel less like detective work and more like a well-guided tour.