Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

In this episode of Kubernetes for Humans, we speak with Ahmed Bebars, a Principal Engineer at the New York Times and a CNCF Ambassador, who offers a unique perspective on cloud native technologies. Ahmed recounts his professional journey in accounting before transitioning into the technology sector, leading to his current deep involvement with the Kubernetes ecosystem. He shares his initial introduction to Kubernetes almost a decade ago, recognizing its capabilities in container orchestration.