Operations | Monitoring | ITSM | DevOps | Cloud

Your Node.js app runs fine on your machine. But inside Docker? You start getting weird crashes—ENOSPC: no space left on device. Chrome headless tests fail out of nowhere. PostgreSQL throws shared memory errors under load. The problem? It’s probably /dev/shm, the shared memory volume Docker sets up by default. Most containers get just 64MB of space here.

Message queues quietly take care of a lot—buffering workloads, smoothing traffic spikes, and keeping services connected. But they don’t always get much attention until something feels off. Amazon SQS offers a solid set of metrics to help you understand how your queues are doing, whether you’re scaling well or nearing limits. This blog breaks down the key SQS metrics: where to find them, what they mean, and how to respond when things start to shift.

Introducing Cause Analysis from Kentik, designed to simplify network traffic analysis and rapidly identify the root cause of issues. Learn how this exciting new feature streamlines troubleshooting, makes complex insights accessible, and boosts team efficiency for all users.

To keep modern applications running smoothly, you need more than just basic monitoring. APM (Application Performance Monitoring) gives you a broad overview, tracking metrics like latency, errors, and system health. Distributed Tracing, on the other hand, shows the full journey of each request across services, helping you pinpoint the root cause of slowdowns or failures.

IT budgets are under pressure, and hardware refresh costs continue to climb. For End User Computing (EUC) and IT professionals, the traditional time-based approach to managing device lifecycles is no longer viable. Simply replacing laptops and desktops every three to five years doesn’t reflect actual device performance, usage patterns, or business needs. The solution? A smarter, data-driven hardware refresh strategy that balances performance, cost-efficiency, and employee experience.

Deploying Helm charts on Kubernetes can be complex, especially when dealing with configuration overrides, security, and environment-specific setups. In this article, we show how Qovery simplifies Helm chart deployment through a seamless developer experience, robust security defaults, and powerful automation, without sacrificing flexibility.

Anyone who works in technology quickly learns this truth: users will always interact with systems in the most unexpected and baffling ways… and when something goes wrong, they swear they “didn’t touch anything.” There’s a vast ocean between how something is designed and how it’s actually used—an ocean filled with bugs waiting to be caught. But there’s a way to bridge that gap: session replay.