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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Product Klip: Komodor's Advanced Cost Optimization Capabilities

This Product Klip covers Komodor's cost optimization features, highlighting how the platform helps users reduce Kubernetes spending while maintaining operational stability. Key features discussed include: Before activation, Komodor provides simulations of potential savings, and for activated clusters, it shows CPU and memory usage before and after Komodor's bin packing and the resulting dollar savings. Komodor enhances existing autoscalers rather than replacing them, unlocking up to 40% in additional savings.

#047 - Securing the Software Supply Chain and Kubernetes with Dustin Kirkland (Chainguard)

Meet Dustin Kirkland, VP of Engineering at Chainguard. Dustin shares his fascinating 26-year journey in the tech industry, from IBM and two stints at Canonical to roles at Google (working on GKE), Apex, and Goldman Sachs, eventually leading him back to engineering at Chainguard.

Ready, steady, goa: our API setup

At incident.io, speed is essential. Our product is growing faster than ever; in scope, range of features and the number of people contributing to it. In the early days, when you’re a small startup with just a few hundred endpoints, a basic API setup gets you by. But as things scale, you need to make creating endpoints easy, fast, and reliable.

Introducing FlexCore AI: Your Sovereign Private Cloud for AI Workloads

Since launching Civo AI, we have been working on creating a secure, scalable, and easy-to-manage private AI solution. We are excited to announce that we have officially launched FlexCore AI Private Cloud, a sovereign AI cloud solution designed for businesses demanding data sovereignty without sacrificing innovation. Deploy your AI-ready private cloud by contacting our team today >

How To Use Alloy and Hosted Graphite's Loki to Store and Visualize Logs

In a modern DevOps environment, having just metrics or just logs is like trying to navigate with half a map because you’re missing important context that makes decisions faster and smarter. Metrics tell you what is happening (CPU spikes, request rates, failed logins) but logs tell you why it’s happening, with the timestamps to prove it.