DevOps promised simplicity, but delivered complexity. Platform engineering is here to fix that, building paved roads for developers in the cloud-native jungle.
Everyone's chasing the next shiny DevOps tool, but the basics? Environment design. It's overlooked. And it's costing teams a fortune in complexity and lost time.
AI isn't just coming; it's here, and it's demanding a fundamental rethink of enterprise infrastructure. VMware's Tanzu Platform, with its fifteen-year pedigree, finds itself at the epicenter of this seismic shift.
Imagine nesting a miniature city within a metropolis. That's essentially what K3k, the 'Kubernetes in Kubernetes' tool, allows developers and operations teams to do within their existing container orchestration infrastructure.
Forget the days of humans juggling dashboards and API keys. AI agents can now create Cloudflare accounts, buy domains, and deploy code without you lifting a finger.
Another week, another AI giant hits the digital pavement. Anthropic's Claude.ai and its API sputtered, leaving developers high and dry and raising some familiar questions.
You bought the shiny new AI security tool, and it's supposed to be a game-changer. Except it's not. The reality is far messier.
An analysis of how platform engineering evolved from DevOps principles, what internal developer platforms provide, and how organizations should think about the transition.