Operations | Monitoring | ITSM | DevOps | Cloud

Automation revealed truth. AI learned to reason from it. Now, systems are beginning to understand themselves. The self-aware enterprise isn’t a vision of autonomy. It’s a model of awareness. It sees, understands, and acts with precision based on verified knowledge of how it operates. This is the next evolution of intelligence in IT. Not artificial. Not imagined. Built.

2025 has been quite a year! As we enter into 2026, we want to share all the great features that VictoriaMetrics Cloud has brought in the last quarter. Remember that this Quarterly Live Update is available in video format as well here: Let’s get to it!

In engineering, there's a concept known as the Iron Triangle. With three sides—cost, quality, time—it's a framework intended to help you prioritize different aspects of project management Want fast, high-quality features? It'll cost you. Need to keep costs down while maintaining quality? That'll take time. And if you're trying to move fast and cheap? Well, good luck with quality. For years, this has been the brutal reality of running services on the web.

Observability is the surprising budget line that isn’t shrinking. 96% of IT leaders expect observability budgets to hold steady or grow over the next 12 months. And 62% expect those budgets to increase regardless of broader IT budget cuts. Why? Because as infrastructure becomes more distributed and harder to manage, observability has shifted from a “nice to have” to a control point for cost, performance, and risk.

OpenTelemetry makes it easy to produce and transmit any type of telemetry. In production environments, this often means deploying the OpenTelemetry Collector as an intermediary to process, enrich, and route telemetry data. As systems scale, so does this infrastructure—sometimes to hundreds or thousands of Collectors spread across environments.

For IT and OT engineers managing Battery Energy Storage Systems (BESS) and other distributed energy resources (DER), the challenge isn’t just dealing with energy. It’s a data problem, or managing the massive stream of real-time telemetry these systems generate. For example, a BESS site produces a constant stream of time-series data from BMS, PCS, SCADA, EMS, and more, and operating it means ingesting, correlating, and acting on that data in real time. And this challenge changes with scope.