Operations | Monitoring | ITSM | DevOps | Cloud

We are thrilled to announce the availability of Mezmo’s AI-powered Site Reliability Engineering (SRE) agent for Root Cause Analysis (RCA)—a truly transformative leap forward for engineering and operations teams included in your existing subscription at no additional charge. We are paving the way for a new era of observability, moving beyond passive, reactive monitoring to a world of proactive AI-driven observability.

You know that uneasy pause before opening your monitoring dashboard? The one where you're hoping nothing's broken—but a part of you knows something probably is. Performance issues often start quietly: a few slow endpoints, a checkout that takes longer than usual, a graph that looks a little off. Before long, those small signals turn into alerts and support tickets.

When you run Kubernetes at scale, one of the first challenges is understanding what the cluster is actually doing. Workloads shift around, pods restart for normal reasons, and traffic doesn't always follow the patterns you expect. Having clear signals makes day-to-day operations much easier. That's where kube-prometheus-stack helps. It brings Prometheus, Grafana, Alertmanager, and supporting components together as a single package.

Some parts of a system don’t lend themselves to quick instrumentation changes. You might have a production binary that hasn’t been rebuilt in years, or a stack made of several languages where each team manages telemetry differently. In those situations, getting consistent signals often means touching code you’d rather leave alone or coordinating updates across many services. OpenTelemetry eBPF Instrumentation (OBI) approaches this from the kernel side.

When you run services on Quarkus, you need a steady stream of signals to understand how the application behaves—CPU trends, request timings, memory patterns, and how each endpoint responds under load. Metrics give you that visibility. They help answer questions like: OpenTelemetry fits well here because it gives Quarkus a common way to generate and export metrics without locking you into a specific monitoring tool.

The AI SRE landscape has exploded over the past year, with vendors racing to add artificial intelligence capabilities to their platforms. For engineering leaders evaluating these solutions, the sheer number of options can feel overwhelming. Some vendors are building AI-native solutions from scratch, while others are retrofitting AI onto existing workflows. Cloud providers are embedding agents into their ecosystems, and observability platforms are adding intelligence layers to their telemetry data.