Operations | Monitoring | ITSM | DevOps | Cloud

Ivanti Neurons for Discovery uses both active and passive network scanning for real-time asset discovery, including connector integrations and data aggregation. Active and passive network scanning ensures you identify every device and user—no matter where they reside or connect. Real-time insights reduce your risk from shadow IT and unmanaged assets, streamline compliance, and provide instant visibility for incident response.

Ivanti Neurons for Discovery uses both active and passive network scanning for real-time asset discovery, including connector integrations and data aggregation. Active and passive network scanning ensures you identify every device and user—no matter where they reside or connect. Real-time insights reduce your risk from shadow IT and unmanaged assets, streamline compliance, and provide instant visibility for incident response.

Get instant visibility into how data moves through your Cribl environment with Cribl Insights. In this demo, Product Manager Pavan Venkatesh walks through how Cribl Insights helps you understand system health, data flows, and how to set up alerts and notifications —so you can proactively troubleshoot faster and optimize resources to get max ROI.

From Observability for GenAI Applications (Grafana OpenTelemetry Community Call) We drill into traces to see which agents called which tools, where errors occurred, how long each LLM call took, and how costs and tokens are distributed. The walkthrough also covers using AI assistance to summarize long traces and identify optimization opportunities in real time..

From Observability for GenAI Applications (Grafana OpenTelemetry Community Call)

It's all about balance ¯\_(ツ)_/¯

Cut down on noisy telemetry data and move toward high signal density.

In this demo, Product Manager David Cavuto walks through how Cribl Notebooks helps security and IT teams investigate faster by combining live data, historical context, and interactive analysis — all in one place.

Take an in-depth tour of the Uptime.com RUM report. Comprehensively understand your users – and your baselines. Organize RUM data by URL(s) or group URL(s) to track subdomains; segment data by devices, operating systems, browsers, countries, other geographies – to compare metrics within specific time windows to your website or application’s performance monitoring baselines.

In the January edition of the Kubernetes Monitoring Helm chart office hours, we discuss the version 3.7 release, the upcoming 3.7 and 4.0 releases and features, and we discuss the upcoming deprecation of the 1.x and 2.0 versions.