Operations | Monitoring | ITSM | DevOps | Cloud

AI discourse these days is all over the place. Depending on who you talk to, AI’s are absolute flash-in-the-pan junk, or they’re the best thing since sliced bread. I want to cut through the noise, though, and see for myself what someone can do out here on the bleeding edge. Thus, I’m setting myself a challenge: write a usable—and useful—application with Claude Code, from soup to nuts. Here are the rules: With our ground rules established, let’s figure out our app!

We are thrilled to announce the next major milestone in our platform vision: Qovery observability! Qovery Observability is our new product, ready to give you the fastest way to gain a crystal-clear, unified understanding of your application and infrastructure. Fully managed, zero lock-in, you keep the data. Devs love it, no DevOps needed. Coming soon!

SLA/SLO-driven monitoring aligns your observability strategy with business objectives by defining measurable service targets and implementing monitoring systems that track progress toward those goals. Service Level Agreements (SLAs) represent commitments to users, while Service Level Objectives (SLOs) are internal targets that ensure you meet those commitments with a safety buffer. In 2025, organizations running distributed systems need monitoring that goes beyond basic uptime checks.

Everything comes at a cost — and observability is no exception. When we add metrics, logging, or distributed tracing to our applications, it helps us understand what’s going on with performance and key UX metrics like success rate and latency. But what’s the cost? I’m not talking about the price of observability tools here, I mean the instrumentation overhead.

Japanese organizations are focused on controlling costs and limiting complexity—and they might be getting ready to broaden their adoption at just the right time, according to analysis of a micro survey on observability recently conducted by Grafana Labs. Observability is an evolving space in Japan, and this is the first time Grafana Labs has run a Japanese version of our annual Observability Survey.

Modern enterprises today often find themselves in a peculiar predicament: they are drowning in a deluge of telemetry data—including logs, metrics, and traces—yet paradoxically remain blind to what truly matters. Despite making substantial investments in observability tools, teams frequently find themselves reacting to incidents rather than proactively preventing them, with alerts flooding dashboards often devoid of critical context.