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Kubeflow vs MLFlow

Learn the main differences between the MLOps tools of choice: Kubeflow and MLFlow Started by Google a couple of years ago, Kubeflow is an end-to-end MLOps platform for AI at scale. Canonical has its own distribution, Charmed Kubeflow, which addresses the entire machine-learning lifecycle. Charmed Kubeflow is a suite of tools, such as Notebooks for training, Pipeline for automation, Katib for hyperparameter tuning or KServe for model serving and more. Charmed Kubeflow benefits from a wide range of integrations with other tools such as MLFlow, Spark, Grafana or Prometheus.

Securing open source software with Platform One and Canonical

Our own Devin Breen and Mark Lewis discussed Securing Open Source Software with the Chairman of Iron Bank at USAF Platform One Zachary Burke at AWS Summit Washington, DC. The topic includes: Securing Open Source Software, Secure Minimal Containers, and Software Security Scanning.

Webinar | Achieve lower TCO and keep full control of your data with Aiven's Bring Your Own Cloud

Learn how to get the most out of your public cloud infrastructure spend without losing control of your data. In this webinar, Chris Butler, Senior Solution Architect at Aiven, explains how Aiven’s Bring Your Own Cloud (BYOC) works and what are the benefits it provides.

AI vs. AI: The Future of Cyber Security Podcast Ep. 14

Welcome to Security Insights: where best-practice cybersecurity meets the real-world risks, workplaces, and roadblocks you face every day. Join Chris Goettl, head of Endpoint Security Product Management, and Ashley Stryker, your cybersecurity "rubber duck", as they review the security strategies and tactics that truly matter to the information security teams protecting organizations, agencies, and businesses like yours.