observability
observability
Why your engineers ignore PagerDuty (and how to fix it)
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.
How to Build Your Infrastructure Monitoring in 2026
Every year I get asked the same question by teams starting from scratch: “we have Grafana, we have some dashboards, why do we still get paged for things we didn’t see coming?” Most of the time, the answer isn’t a missing tool. It’s a missing method. Teams jump straight to “let’s install Prometheus” or “let’s buy a SaaS observability platform” before answering a much simpler question: what does “healthy” actually mean for this business?
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.
Using Labels and Relabeling in Prometheus for Clean, Scalable Metrics
I’ll admit it: the first time I looked at a raw Prometheus metrics endpoint, I felt a bit overwhelmed. It was like staring at a tangled ball of yarn, with metric names and labels sprawling in every direction. I was collecting thousands of time series, but finding the specific signal in the noise felt nearly impossible. That’s when I truly understood the power of labels and relabeling in Prometheus. They aren’t just decorative tags; they’re the fundamental tools for organizing your metrics universe.
How to Set Up Prometheus Remote Write to Push Metrics to VictoriaMetrics
I’ve been running my own monitoring stack for years, and if there’s one thing I’ve learned, it’s that Prometheus alone can feel like trying to store all your holiday decorations in a single shoebox. It works fine at first, but soon you’re dealing with capacity issues and wondering where that one crucial metric from three months ago disappeared to. That’s why I recently set up Prometheus remote write to push metrics to VictoriaMetrics for centralized, long-retention storage.
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?
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.
Prometheus vs VictoriaMetrics: Performance, Storage, and Query Language Compared
I’ve spent years tinkering with monitoring tools—first as a hobbyist automating my smart home, then professionally while scaling observability pipelines. Two names kept popping up: Prometheus (the de facto standard) and VictoriaMetrics (the “faster, cheaper” alternative). But which one should you use? Let’s break it down with real-world benchmarks, storage deep-dives, and query language quirks. Why Compare Prometheus and VictoriaMetrics? Prometheus is the Kubernetes-monitoring darling, but VictoriaMetrics promises better performance with lower resource usage.
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?