Operations | Monitoring | ITSM | DevOps | Cloud

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.

Zebra's Merchandising Agent combines advanced image recognition technology and augmented reality to assess shelf health and inform frontline teams how to fix merchandising issues, such as shelf gaps, misplacements, planograming issues, and inaccurate pricing and signage. Learn how to capture shelf images for analysis, identify discrepancies such as out-of-stock items, and receive actionable guidance on restocking.

Whether it’s locating assets in the backroom, identifying mislabeled or expired products, or answering questions about return policies, Zebra Companion expands the possibilities for frontline staff. Learn how new employees can perform with the efficiency of seasoned staff, enhancing customer satisfaction and streamlining store operations.

The Top 10 Problems with Vulnerability Management | Security Insights, Ep. 48 Vulnerability management is not for the faint of heart. The pitfalls are many, and odds are you probably have at least one of these issues. Ivanti's Chris Goettl and Robert Waters run down the list of what can get in the way of vulnerability management done well -- from attack surface visibility to data overload and resource constraints -- all with an eye on how those problems can be addressed. (Which we'll have more on next time. We promise.)

Modern Kubernetes environments are increasingly growing in scale and complexity. While application performance monitoring and infra-observability tools were once sufficient to maintain reliability, they are ill-equipped to handle the distributed and ever-changing nature of dozens or hundreds of Kubernetes clusters.

Many hardware companies lose millions on RMAs and warranty returns, often replacing devices when a software update could have fixed the issue. Without data, it is hard to know what is really a hardware failure and what is just a software bug. Observability changes that by helping companies diagnose issues remotely, cut unnecessary returns, and keep margins intact.