Operations | Monitoring | ITSM | DevOps | Cloud

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The "Velocity Gap" is real. AI like Claude and GitHub Copilot are pumping out code faster than ever, but there’s a catch: Engineers don't trust it yet. We’re moving away from the old days of "clicking around" in a test environment, but how do we verify code at the speed of light? Ken breaks down why the future of QA isn't just "testing," it’s simulation. Video collab with @ScottMooreConsultingLLC Learn More: speedscale.com.

Learn how leading teams are reducing complexity, controlling costs, and building resilient environments with modern private cloud patterns.. What we covered: If you’re evaluating private cloud, hybrid infrastructure, or looking to take back control of your infrastructure in 2026, this session provides a clear, actionable starting point. Reach out to our team to learn more today!

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.