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AI powered teams aren't shipping once a week. They are shipping 10 times a day. Few years ago, deploying once a week was a performance. Now? AI is writing your code and Bunnysell makes sure it gets shipped 10x faster.

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Datadog is constantly elevating the approach to cloud monitoring and security. This Month in Datadog updates you on our newest product features, announcements, resources, and events. This month, we’re joined by Datadog CPO Yanbing Li and SVP of Engineering David Mitchell..

Join Ed Bailey and Dar Kobe as they break down the latest updates to Cribl U—what it is, who it’s for, and why it matters. Whether you’re just getting started or looking to level up your data skills, you won’t want to miss this!

Looking for a powerful way to send and visualise metrics from the command line? Meet HG CLI, MetricFire’s official command-line tool! In this video, we’ll show you how to install, configure, and use HG CLI to manage your Hosted Graphite metrics and create dashboards, all without having to configure an agent yourself. Whether you're a DevOps engineer, SRE, or developer, this tool will streamline your monitoring workflows! Don't forget to like, subscribe, and hit the bell for more MetricFire insights!

In this episode of Simple Talks, Louis, Steve, Kellyn and Grant get together to discuss the recently released State of the Database Landscape Report 2025, delving into topics around security, professional development and AI.

Is DevOps on the brink of extinction? Solomon Hykes, co-founder of Docker and CEO of Dagger.io, explores how AI agents are transforming software development—not just writing code but shipping it. In this talk at Civo Navigate San Francisco 2025, Solomon retraces the history of software’s industrial revolution and examines whether AI will replace DevOps engineers or empower them. With live demos and expert insights, he reveals what’s next for the software factory and the future of platform engineering.

Mariano, Staff Product Manager at Vercel, explains why serverless architectures are hitting unexpected limits—they’re too fast. The industry has spent millions optimizing serverless for speed, but AI workloads are changing the game. In the AI realm, slower execution often leads to better results. The challenge? Paying for all that idle compute time while waiting for AI responses.