Operations | Monitoring | ITSM | DevOps | Cloud

#058 - The Future of AI and Platform Engineering with Blake Sherwood (Smarsh)

In this episode, special guest Blake Sherwood joins the show to discuss his unique career trajectory from tourism and coal mining to leading massive-scale Kubernetes migrations. Blake shares insights from his experience managing petabytes of data in high-compliance environments, delving into the practical realities of integrating AI into enterprise workflows and observability systems.

Claude Code Sandbox: The Complete Guide to Sandboxing AI Agents in Production

How to sandbox Claude Code, Codex, and other AI coding agents for production use. Compare local Docker, Daytona, E2B, and Qovery approaches - with architecture diagrams and real-world examples. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

The AI Productivity Paradox: We're Measuring the Gains and Missing the Costs | Harness Blog

For the past year, I've been hearing a version of the same thing from engineering leaders: AI tools are working, productivity is up, the business case is there. And yet, something about the picture still feels incomplete. So we decided to go find out how widespread that feeling actually is. We surveyed 700 engineers and managers across five countries, and published the results in the State of Engineering Excellence 2026.

AI DevOps in 2026: How AI Coding Tools Are Breaking Your CI/CD Pipeline (and How to Fix It)

AI coding tools turned every engineer into a 10x developer. Now your CI/CD pipeline is the bottleneck. Learn how to handle 10x more deploys per engineer with Qovery's dual deployment model. Romaric founded Qovery to make Kubernetes accessible to every engineering team. He writes about platform strategy, developer experience, and the future of cloud infrastructure.

Enhancing Your Search Skills with Liang Chen

What does it take to reinvent network visibility from the ground up? In this episode of Next-Gen Network Heroes, Bob sits down with Liang Chen, Senior Network Architect at Texas Children’s Hospital and creator of a next-generation network traffic analyzer built for real-time, packet-level visibility. Liang shares how he built a platform capable of analyzing traffic at up to 200Gbps with zero packet loss—unlocking deeper network forensics and faster troubleshooting in mission-critical environments.

True Visibility: How Liang Chen is Rethinking Network Monitoring

What happens when deep networking expertise meets low-level programming and a passion for invention? In this episode of Next-Gen Network Heroes, host Bob Slevin sits down with Liang Chen, Senior Network Architect at Texas Children's Hospital and a true innovator in network performance and visibility. With more than 25 years of experience in networking, plus advanced expertise in programming languages like C and Assembly, Liang has built his own next-generation traffic analysis platform from the ground up—designed to provide real-time, packet-level visibility at massive scale.

Three AI Music Generators For Different Creators

AI music tools are no longer just novelty websites where users type a funny prompt and wait for a strange song. The market now has different kinds of platforms for different creative jobs: full vocal songs, background music, lyric-driven drafts, podcast intros, game atmospheres, and social video soundtracks. That is why an AI Song Generator should be judged less like a toy and more like a workflow choice for creators who need music without starting from professional production software.