Operations | Monitoring | ITSM | DevOps | Cloud

AI Classify reaches general availability this month, TDM gets a Docker image, and we’ve added a few things you’ve been asking for.

Q1 2026 has been one of our most eventful quarters yet for VictoriaMetrics Cloud. We shipped something we have been building towards for a long time, crossed a few infrastructure milestones, and started clearing the path for what is coming next to the most performant observability stack.

A preview of leadership insights shaped by real-world experience Estate-wide clarity for leaders who still need technical depth As data estates grow, the role of technical leaders changes. Visibility becomes harder. Communication becomes more important. Decisions have broader consequences. Many leaders start their careers focused on the technical details.

You’ve masked your database. You’re confident you’ve covered all your PII. But not all of it lives where you’d expect it to. AI Classification, Redgate's data scanning capability, automatically catches sensitive data before it reaches your developers, your test environments, or your auditors.

We are excited to announce a significant update to our ODBC Drivers product line. This release delivers broader compatibility across modern data platforms, improved integration with third-party tools, and extended support for advanced data types and authentication methods.

This is a guest post from Laura Copeland. Key insights from a fireside chat with Chris Yates. Part 1. Choosing the right database monitoring vendor isn’t just a technical decision, it’s a strategic one that affects your teams, your estate, your growth plans, and the culture of your organisation. It’s also a personal one if you’re a DBA. Something as critical as your monitoring system will shape your day‑to‑day work, and, in many cases, how well you sleep at night.

Last month, the VictoriaMetrics team gave a talk on retroactive sampling at KubeCon Europe 2026. By writing this blog post, as a transcript of the session, we want to explain how retroactive sampling reduces outbound traffic, CPU, and memory usage in the data collection pipeline significantly compared to tail sampling in OpenTelemetry.