Operations | Monitoring | ITSM | DevOps | Cloud

The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options. Here’s what’s new.

This comprehensive guide covers the fundamentals of load testing, key differences from stress and performance testing, step-by-step execution methods, popular tools, and best practices to help teams build resilient systems with confidence. In today's always-on digital economy, a single slow page or unexpected crash during peak traffic can cost businesses thousands or even millions of dollars in lost revenue, damaged reputation, and frustrated customers.

In the modern DevSecOps world, CISOs are constantly looking for signals in the noise, and the outputs of security scanners often carry a lot of weight. A security scan that returns a “zero CVE” report often unlocks promotion to production; a single red flag can block a release. This binary view of security has birthed two diametrically opposed philosophies. On one side, we have the long-term support (LTS) approach: stay on a battle-tested version and backport specific security fixes.

I’ve been an engineering leader for over a decade, and I’ve spent most of those years in private Slack groups with other engineering leaders, comparing strategies and kvetching about Kubernetes. Of the hundreds of threads I’ve taken part in, the one that got the most engagement the fastest was a recent one around AI adoption. “Where are you on this continuum?”, it read. “A. You don’t really care how people use AI; B. You push people to use AI; or C.

In the 2026 regulatory landscape, manual audits are a liability. This guide explores using GitOps to generate DORA-compliant audit trails through IaC, drift detection, and automated segregation of duties. Discover how the Qovery management layer turns compliance into an architectural output, reducing manual overhead for CTOs and Senior Engineers.

Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.

Most teams already know a lot about production. They have dashboards. They have traces. They have alerts. They have enough telemetry to explain what happened after an incident and enough graphs to argue about it for the rest of the week. Then they go to test a change and start from scratch. The integration tests hit a hand-written mock that returns {"status": "ok"}. The load tests replay a CSV somebody exported months ago. Staging is close enough to production right up until it matters.