Operations | Monitoring | ITSM | DevOps | Cloud

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.

Debugging modern.NET apps isn’t as simple as scanning logs anymore. With services spread out and systems growing more complex, it's easy to miss the bigger picture. Serilog gives you clean, structured logs. OpenTelemetry brings in traces and metrics to connect the dots. This guide covers how to wire up Serilog with OpenTelemetry, send logs to traces, and build an observability setup that helps you troubleshoot, without digging through disconnected logs for hours.

It came as a pleasant surprise. CloudZero recently discovered over $1.7 million in annualized savings. And, all from our own infrastructure. Otherwise, we would have spent $1.7 million on cloud resources we didn’t actually need. Cloud savings stories like this are common with CloudZero customers, and we often find companies spending more than they should in the cloud. If your team is also struggling with managing and controlling the cost of cloud computing, then this guide is for you!

When something breaks in production, logs are usually where you start. They help you figure out what happened, where, and why. But with microservices architecture, logging isn't simple anymore. In a traditional monolithic application, logs live in one place. With microservices, they're scattered across multiple services, containers, and sometimes even data centers. What used to be a simple grep command now feels like solving a mystery without most of the clues.