Operations | Monitoring | ITSM | DevOps | Cloud

Today, we are pleased to announce the general availability of Elastic 9.3 as the latest version of the Elasticsearch Platform — the world’s most popular open source platform for transforming both structured and unstructured data into trusted answers and outcomes. In addition to including new features that help developers with context engineering and agent building, Elastic 9.3 introduces a broad set of new capabilities to Elastic Search & AI, Elastic Observability, and Elastic Security.

We recently sat down with representatives from 42 companies to discuss a pivotal moment in Kubernetes networking: the NGINX Ingress retirement. With the March 2026 retirement of the NGINX Ingress Controller fast approaching, platform teams are now facing a hard deadline to modernize their ingress strategy.

We’ve seen a huge explosion of interest in DevOps over the last few years. But for people who are new to these ideas, it’s not always obvious what DevOps entails and what the benefits are, particularly in larger environments. So, what is DevOps all about? And what do you need to know to succeed? In this blog, you’ll get a breakdown of how DevOps works, its benefits, and the best practices and tools that help teams build and deploy software with speed and confidence.

OpenClaw (née MoltBot, née ClawdBot) is taking over the world. Everyone is spinning their own, either on a VPS, or their own Mac mini. But here's the problem: OpenClaw is brand new, and its security posture is mostly unknown. Security researchers have already found thousands of publicly available instances exposing everything from credentials to private messages.

Back in 2021, Grafana Labs CTO Tom Wilkie (then VP of Products) spoke at PromCON about the need for improvements in Prometheus' remote write capabilities. “We use between 10 and 2 bytes per sample to send via remote write, and Prometheus only uses 1 or 2 bytes per sample on the local disk so there’s big, big room for improvement,” Wilkie said at the time.

Let’s be real: AI can hallucinate. And in observability, that feels risky. No one wants an assistant that sends your SREs chasing ghosts. At best, that burns expensive engineering time. At worst, it slows incident response in production and pushes teams toward the wrong remediation path. So here’s the big question: What makes Grafana Assistant different, and why should you trust it? Let’s start by acknowledging the fear. AI hallucinations are a real issue.

As AI adoption accelerates, middleware complexity intensifies. In this discussion with meshIQ CEO Navdeep Sidhu, discover why governance—not speed—has become the defining factor for enterprise success, and why fragmented middleware environments can no longer be ignored in the AI era.

Everything you need to know to discover and manage your company’s IT assets.

Complex environments don’t fail because teams lack data. They fail when teams can’t trust what the data is telling them. There are too many signals, too little time, and too much risk riding on every decision. That’s the reality Skylar Advisor is built for: delivering guidance teams can verify, so they can act faster without gambling on opaque, black-box answers.

It’s been a while since the last update on “What’s New” series, so I will try and keep it short yet informative. Stay tuned for upcoming content on anomaly detection.