Keith: Do you think green is good? David: Yes – Green is good, yellow is careful, red means something needs attention. It has a “Group by” feature that allows dynamic grouping of providers, resource types, etc. Update your display in real time.
Clicking on a resource displays its current status, alert history, and related metadata. Sometimes you don't need to understand all the underlying infrastructure. With a service-based architecture, you may need to know if a critical component is down. It helps to express it on the right level.
Let's take a look at the application view. This will categorize all apps (HA proxy, Time Series database, etc.). If you are paging for a Zookeeper issue, you can see which nodes are healthy and which are in the error state.
It also shows trend forecasts. This is what you expect to happen based on historical data. You can compare the 24-hour and 7-day views to assess whether it is a one-time problem or part of a larger pattern. You can then analyze whether the issue is localized or whether other resources are affected.
The Forensic Session feature simplifies log analysis. It highlights important log keywords so there is no need to manually search or build complex queries. If Zookeeper does not have a leader, highlight it in red to make it visible immediately. From there, you can build a dashboard for any issue, such as AI workloads.
Displays GPU utilization, LLM I/O token metrics, and vector database requests all in one place. Therefore, each domain does not require a separate tool. Finally, let's talk about Edwin AI. Edwin AI focuses on event intelligence and generation AI support. Remember all the previous alerts?
Edwin correlates them to a single practical insight. You might collect three different alerts at first glance, and merge them into one incident, for example, in an Azure virtual machine.
Shows insights when triggered, underlying alert types (SNMP, uptime, web checks, ping loss), and how they are connected. The summary generated by genai also provides a human-readable explanation of the problem, potential root causes, and recommended repairs.
We are also working on AI agent functions, such as chat assistants, which allow you to ask follow-up questions. You can say, “Please tell me more about this log” or “Explain this metric.” Assistant helps you troubleshoot faster.
