Operations | Monitoring | ITSM | DevOps | Cloud

Part of the Gremlin Office Hours series: A monthly deep dive with Gremlin experts. Service meshes bring applications together, but not always reliably. Even the most well-configured Istio deployment can have unexpected reliability risks that aren’t apparent until you’re already in production. Latency, single points of failure, poorly defined APIs—these problems can grow beyond a single service and impact the user experience for your entire application.

IT teams can’t solve what they can’t see. Undetected issues impacting end users lead to lost revenue, brand reputation damage, and frustrated customers. That’s why proactive monitoring is critical. By simulating end-user experiences, you catch small issues before they snowball into major incidents—saving time, money, and operational headaches.

In this Loki Community Call, we talk about the need for meta-monitoring Loki: why Loki needs to be monitored, what to watch out for, and how to do it. We talk about different ways to get information from Loki that allow you to make it reliable, consistent, and performant, including a Helm chart to deploy a meta-monitoring stack on Kubernetes. We discuss the Loki mixin for Grafana and how to use it to visualize data about Loki. On the call are Jay Clifford, Nicole van der Hoeven, and Dylan Guedes from Grafana Labs.

Watch a demo of RITA, the first AI Agent powered by Resolve Actions. RITA brings smart, real-time assistance to IT ticket handling, where delays often occur. From auto-populating ticket fields and translating user inputs to generating new knowledge articles, RITA enhances the efficiency and accuracy of every support interaction.+ Increases first call resolution rates+ Scales your service desk capacity while retaining quality.