Operations | Monitoring | ITSM | DevOps | Cloud

When you launch a new service in production, you’re working with a lot of unknowns. You don’t yet know how it behaves under real traffic or which incidents are worth waking someone up for. That makes alerting for a new service a little different from what you’re used to with an established one. The goal in the early days isn’t to get everything perfectly configured. It’s to learn enough about the service to get your alerting right.

AI coding tools eliminated the 'writing code' bottleneck. But deploying that code? Still a mess. Here's how Claude Code + Qovery Skill lets you go from idea to production in a single prompt - with enterprise-grade guardrails. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

So far in this deployment series, you’ve: Now we arrive at the layer that quietly determines whether your app thrives… or throws mysterious 2am errors. Step 5 is cloud configuration. This is where your application gets its infrastructure, its environment, and its ability to scale without drama.

What actually works for Kubernetes monitoring at scale — not what looks good in a vendor demo with a five-pod cluster.

Why ECS containers collapse under service.name = aws_ecs and how to fix it for both EC2 launch type and Fargate, including the resource-vs-log-record pitfall that quietly breaks log filtering. Prathamesh works as an evangelist at Last9, runs SRE stories - where SRE and DevOps folks share their stories, and maintains o11y.wiki - a glossary of all terms related to observability.

A two-person startup signs up for the obvious hyperscaler because their last company used it, because Stripe runs on it, because the documentation is exhaustive, and because the free tier looks generous. Eighteen months later, with a small team and a healthy seed round, they discover they're spending $18,000 a month, and they don't quite know where most of it is going. Three engineers can describe the architecture in detail. Nobody can describe the bill.

It's 2026, and DNS Check now has a dark mode. Yes, we noticed the year. Better late than dazzling our users at 2 a.m. when an MX record decides to misbehave.

April saw widespread disruptions across SaaS platforms, developer tools, and cloud services, with login failures, pipeline issues, and general service outages among the most common problems. StatusGator’s Early Warning Signals consistently identified these incidents ahead of official provider updates. In several cases, the lead time was significant. Bitbucket pipeline failures were detected 1 hour 17 minutes before acknowledgment, while Claude performance issues surfaced 59 minutes early.