Kubernetes has proven to be a vital tool for developing and running ML models. It enhances experimentation, workflow management, and ensures high availability while handling the resource-intensive nature of AI workloads. With optimizations, Kubernetes can further improve resource utilization, making AI/ML projects more efficient.

Open source software is a cornerstone of modern tech infrastructure, yet its sustainability is often precarious.

Are you ready to supercharge your Generative AI strategy? Join Aiven and Google Cloud for an engaging webinar where we reveal three critical pitfalls that can hinder your success—and how to avoid them.

Check out this Codefresh training video - how to create your first CI pipeline. We’re adding more videos to our YouTube channel all the time. Tune in for help with your GitOps-based software delivery so you can get new features to production faster and more reliably.

In this dashboard tutorial video, we will walk you through building an Azure Virtual Desktop dashboard. This dashboard provides users with the visibility they need into the status of Azure Virtual Desktop. The Azure Virtual Desktop dashboard combines CloudReady and Service Watch metrics for a holistic view of Azure Virtual Desktops availability and performance. When issues occur, users can quickly review the dashboard to identify whether the issues is limited to an office, individual device, or affecting Azure Virtual Desktop as a whole.

Join Jono Bacon, CEO and Founder of The Community Leadership Core, as he shares his journey from the early days of open source to leading large-scale communities at companies like Canonical, XPRIZE, and GitHub. Discover key insights on building and sustaining thriving communities, the challenges of maintaining open-source projects, and the evolution of community platforms like Slack and Discord. Find out more about Jono Bacon and The Community Leadership Core.

Observe and secure your applications across your environments to optimize business outcomes. Get a first-hand overview of how Cisco AppDynamics leads the competition with application performance monitoring that ensures business context helps make optimal decisions through prioritization of the most critical business transactions, improvements to end-user experience, and securing applications from the inside out.

Phil Gervasi introduces a quick and easy way to see network performance metrics among multiple cloud instances. Synthetic tests can be deployed in multiple public clouds to test for loss, latency, and jitter among public cloud instances, such as between AWS and Azure. Phil demonstrates the ability to adjust the time range and shows inbound and outbound traffic, average latency, packet loss, and jitter. A spike in any of these metrics would trigger an alert tied to the ticketing system. He also shows the ability to click into the path view between cloud instances to see a hop-by-hop breakdown.