Operations | Monitoring | ITSM | DevOps | Cloud

Most cloud providers think AI is just a hardware problem. They focus on the GPUs, the racks, and the raw compute, but they leave the strategy up to you. At Civo, we do AI differently. We don't just provide the hardware; we guide you through the full life cycle of AI adoption, from initial planning to scaling production workloads. By leveraging best-in-class NVIDIA models and GPUs, we give you the performance to unlock AI at scale without the fear of being bogged down by complexity. It's more than infrastructure, it’s cloud freedom with AI built-in.

In this episode, Leon explores a bunch of BYO (bring your own) enhancements to Cribl including the ability to bring your own AI model, storage, and more.

Most teams obsessing over token costs are measuring the wrong thing. The real savings from AI aren't in lines of code written faster. They're in the coordination overhead that disappears when fewer humans need to align before anything gets built. Chris Kelly, Head of Product at Augment Code, joins Rob to cover why prototypes have replaced specs, how agents enable dynamic team capacity the way cloud replaced over-provisioned servers, and what "good code" even means when your primary reader is an LLM. In this episode.

The April rewind is here!

Stop wasting money on AI API tokens in your local, test, and CI environments. In this demo, I show how to record real LLM responses and replay them for free using proxymock and stop surprise bills.

Visit: Speedscale.com to learn more.

What keeps tech people motivated? Is it a good tech challenge or a life-work balance? Elif, CNCF Ambassador, explains. Resources for Further Learning.

vmanomaly has now AI Copilot in the UI, with the help of MCP. Resources for Further Learning.

Cove 26.5 delivers the Cove + HaloPSA integration. With this integration, all backup failures detected in Cove will auto-create tickets in your HaloPSA environment, eliminating the need for manual checks or email-based workarounds. In this video, we walk through how to set up the integration and outline how this integration improves technician efficiency.

That “simple” production database refactor may be more dangerous than it looks. Learn how Data Modeler helps teams minimize the risk. Once a database is live, even simple design improvements can affect data, applications, reports, and integrations in unexpected ways. Tony and Tonie discuss how Redgate Data Modeler helps teams map out the proposed changes visually, expose hidden dependencies, and plan a safer roll out.