Operations | Monitoring | ITSM | DevOps | Cloud

There is a particular kind of incident every SRE team is familiar with. A common component of your stack, say your Redis database, starts misbehaving. Someone spends two hours tracing it back to a connection pool exhausted by a misconfigured client, the fix goes in, and everyone moves on, for today. The following Tuesday it happens again, and whoever is on call investigates it from scratch, because the person who solved it last week is asleep, on vacation, or working somewhere else now.

For most IT leaders, multicloud didn't arrive as a decision. It arrived as a fait accompli. A team chose AWS for one workload. Azure came in through a Microsoft enterprise agreement. A SaaS acquisition brought its own cloud dependencies. A DR requirement pointed to a second region with a different provider. Nobody declared a multicloud strategy; the organization just became one. Today, 87% of organizations run a multicloud strategy, balancing an average of 2.6 public cloud providers simultaneously.

Kubernetes efficiency metrics now work with infrastructure filters.

The Kubex UI is a model of analytic depth and flexibility. You can break down your environment’s utilization, risks, and optimization potential in many ways. You can view more than 100 different properties for each container and many different graphs showing historical performance and identified trends.

When we launched Autonomous Worker Agents, governance inherited, not integrated, was the core promise: agents run inside the same pipelines, and inherit the same RBAC, policy, and audit trails already governing production, rather than getting security bolted on after the fact.