Operations | Monitoring | ITSM | DevOps | Cloud

#060 - Beyond ELK: Elastic's 10-Year Evolution, Open-Source Licensing, and the AI Frontier with P...

In this episode of the Kubernetes for Humans podcast, Philipp shares his incredible 10-year journey at Elastic, witnessing the company's massive growth from 300 to 4,000 employees. Discover the fascinating origin story of how Elastic evolved from a simple recipe search project into a global powerhouse for observability, security, and vector databases.

Turning down grad school, self-learning Power BI, and Lego! (Kristyna Ferris) | Simple Talk Podcast

Kristyna Ferris turned down grad school, learned Power BI, moved into the data world - and never looked back. In this chat with Steve Jones, Kristyna explains why she did it, what she’s learned, and even why her first DBA changed her password! Plus: being a Microsoft MVP, the importance of self-learning, being inspired to get involved with the community, and Kristyna’s passion for Lego, movies, and more!

What is Automated Patch Management?

Learn why manual patch management creates unnecessary risk for IT teams and how automated patch management helps organizations improve security, compliance, and operational efficiency. Discover how automation eliminates repetitive tasks, reduces human error, prioritizes critical vulnerabilities, and accelerates patch deployment across the entire IT environment.

What Is Enterprise Service Management (ESM)? Explained

Enterprise service management (ESM) applies the proven model of IT service management, catalogs, workflows, self-service, and SLAs, to the whole business: HR, facilities, finance, and more. Here is what it is and how it works. What is enterprise service management, and how is it different from ITSM? In this explainer we define ESM, show how it works across departments, clarify how it builds on IT service management, and cover the mistake most teams make: copying IT ticket forms instead of orchestrating work across teams.

Kubeflow MLOps tutorial: from notebook development to production inference

In this video, our engineering team takes you through a full end-to-end Kubeflow implementation, step by step – from data exploration to production inference. Follow the journey of a house price prediction use case and see how modern MLOps components work together: Kubeflow architectures and starter repositories Notebook-based development workflows Data exploration and model development MLflow for experiment tracking Katib for hyperparameter optimization Kubeflow Pipelines for automated preprocessing and training KServe for scalable model inference.

Grafana Tempo: The distributed tracing journey to 3.0 (June 2026 Community Call)

Our distributed tracing journey from the inception of Tempo to 3.0. Can't comment in the chat? You may need to create a channel. Grafana Cloud is the easiest way to get started with Grafana dashboards, metrics, logs, traces, and profiles.

Tap-to-call | OnPage New Feature Release

Introducing Tap-to-Phone Call in OnPage. When critical incidents require more than messaging, teams need a fast way to connect. With Tap-to-Phone Call, users can place a direct phone call to group members directly from within an OnPage conversation. By simply tapping the phone icon, responders can transition from secure messaging to live voice coordination through their mobile carrier network, helping teams communicate faster when every second counts.