Operations | Monitoring | ITSM | DevOps | Cloud

Grafana's Knowledge Graph builds a contextual layer on top of your telemetry data, automatically extracting entities and relationships so you can see how your services actually connect. In this deep dive, Jia show how it powers root-cause investigation both in the Grafana UI and through agentic workflows using gcx and Claude Code. Learn more about Grafana's observability tools and try Knowledge Graph for your own telemetry data at grafana.com.

Watch our CEO build a 100 gig port live in less than two minutes.

Is your IT team still chasing alerts? See how ignio AIOps from Digitate helps enterprises move from reactive IT to autonomous operations.

Read more: https://www.speedscale.com/blog/test-ai-code-with-traffic-replay/

Aiven DataHub is a managed data catalog that helps you and your agents find, understand and reason on top of your data in data sources like PostgreSQL, ClickHouse, Kafka or BI Tools. In this video Stan dives into Aiven DataHub and shows how to set it up so context is derived from metadata, or the lineage between services. He also dives into examples on how to get deeper insights about your data through prompting Aiven DataHub.

See how to create a Business Application in InvGate Asset Management and map the Configuration Items (CIs) behind any service using AI-powered relationship suggestions. Add one CI, let the system suggest what connects to it, and apply the suggestions to build your map in a couple of clicks. It also identifies the type of each relationship, so the map reflects how your infrastructure actually works.

A Kubernetes cluster emits more metrics than any team can read. Here is how to pick the ones that actually predict failure. In this video, you'll learn: Contact Us [email protected].

Cycle teamed up with bare metal service provider Cherry Servers to discuss how rising political tension and controversy involving the United States is pushing many European organisations to take a closer look at where their data is hosted and handled. Many companies have been forced to look into alternative options to ensure their data is not hosted in or accessible by anyone outside of Europe.

The “paperclip maximizer” was supposed to be a thought experiment about what could happen if AI relentlessly pursued a goal without understanding the consequences. Then Hugging Face showed us what that can look like in the real world. In this ShipTalk clip, Adam explains the famous AI paperclip maximizer thought experiment and connects it to what happened when an AI system needed more resources and found a way to get them.

Adding agents to handle rising ticket volume treats the symptom. Deflection asks why those tickets reach an agent at all. In this video, you'll learn: Contact Us [email protected].