Operations | Monitoring | ITSM | DevOps | Cloud

In a distributed system, things break in unexpected ways. That’s why observability isn’t optional—it’s how you understand what’s going on under the hood. If you’re comparing tools to instrument your services, OpenTelemetry and Micrometer are two names you’ll run into. Both are used to collect metrics, but they take very different approaches—especially when it comes to flexibility, vendor support, and what you can do with the data.

Elasticsearch does a lot right—it's fast, scalable, and makes searches feel simple. But when things slow down or break, figuring out what’s going on can be frustrating. Especially if you’re not keeping an eye on the right metrics. This guide covers Elasticsearch metrics that are worth tracking and how they help you keep your cluster healthy without data overload.

Grafana is a popular choice for monitoring and visualizing metrics, but login issues can quickly block your access and slow you down. Forgot your password? Can’t get into the admin account? Problems after changing authentication settings? These are some of the most common hiccups—and they’re usually easy to fix. This guide covers the frequent login problems you might face and walks you through practical ways to resolve them.

When I’m on the train to work in the morning, I always reach for my noise-cancelling headphones. Not because the world is too loud, but because I want to hear what matters. It’s a small act of filtering signal from noise. And this got me thinking that, increasingly, that same mindset is becoming essential in how we design and manage digital infrastructure. There’s no shortage of data. In fact, there’s too much of it.

At Qovery, our goal is simple: eliminate the grunt work of DevOps. The idea of an assistant that can understand developer intent and autonomously take action on infrastructure has always felt like the holy grail. In February 2025, we started building that assistant - our DevOps Copilot. Today, our Agentic DevOps Copilot is live in Alpha. It helps developers automate deployments, optimize infrastructure, and answer advanced configuration questions. But getting here took multiple iterations.

In a single pipeline, it’s easy to control job order. But in a large engineering org with dozens of pipelines, hundreds of contributors, and countless shared environments and services, that control can start to slip. Pipelines interfere with each other. Deploys overlap. Test environments break. Someone merges code, triggers a build, and gets a failure they can’t reproduce. Unfortunately, this kind of instability is a routine byproduct of scale.

Logs are essential, but managing them can be tedious. They quickly consume storage, slow down your searches, and make troubleshooting feel like an endless chore. Loki monitoring helps simplify this process, offering a more efficient approach to logging that developers can appreciate.