Operations | Monitoring | ITSM | DevOps | Cloud

The new Query Plan Compare feature in Redgate Monitor helps PostgreSQL DBAs see when the optimizer switches plans for the same query, and understand why, so they can diagnose sudden performance changes faster.

Netdata has always collected database metrics: connections, throughput, replication lag, buffer cache hit ratios, and so on. These tell you that something is wrong, but they don’t tell you why. When your PostgreSQL response time spikes, the metric alone doesn’t tell you which query is responsible. For that, you’ve traditionally needed to SSH into the box, connect to the database, and run diagnostic queries manually. Or set up a separate database monitoring tool entirely.

KubeCon + CloudNativeCon Europe in Amsterdam brought together about 13,500 attendees this year, the largest turnout yet. The size of the event showed just how much the cloud-native space has grown, and how central observability, platform engineering, and cost control have become. For VictoriaMetrics, this year’s event was a mix of talks, booth conversations, and a lot of direct feedback from users.

Following our 2025 updates, here we recap how VictoriaMetrics Anomaly Detection evolved in Q1 2026. Stay tuned for upcoming content on anomaly detection.

Part 2: Key insights from a fireside chat with Chris Yates. Read part 1 here. Choosing a database monitoring vendor isn't just about features. Once you’re confident that it’s time to reassess your database monitoring strategy, the natural instinct is to start comparing products. However, it’s vital to know how to assess vendor relationships, support quality, and product innovation before you sign anything.

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.