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The Death of DevOps and the Rise of Platform Engineering
DevOps failed culturally despite technical success. Platform engineering offers structural solutions through dedicated teams, self-service platforms, and golden paths that reduce developer burnout.
The AI Paradox in Software Delivery Speed and Stability
DORA 2025 reveals the AI paradox: 90% adoption drives faster delivery but increases instability. Discover the seven capabilities framework for safe AI adoption.
Applying Team Topologies to Reduce Cognitive Load and Burnout
Learn how Team Topologies reduces developer burnout through platform teams, stream-aligned teams, and cognitive load management at SMB scale.
Platform Engineering Explained for SMB Technology Leaders
Platform engineering builds Internal Developer Platforms that reduce cognitive load and improve productivity through self-service tools and golden paths.
YAML Fatigue and the Kubernetes Complexity Trap
Discover why YAML configuration creates complexity traps at scale and explore type-safe alternatives like Pulumi, CDK, and Kustomize for Kubernetes infrastructure.
The Observability Money Pit and How to Escape It
Observability spending has hit 20-25% of infrastructure budgets. Here’s how to calculate ROI, compare vendors, and consolidate tools without losing visibility.
Developer Burnout and Cognitive Load in the DevOps Era
83% of developers report burnout from DevOps overload. Learn cognitive load theory to diagnose tool sprawl, YAML fatigue, and on-call burnout in your teams.
Why DevOps Failed as a Cultural Movement Despite Technical Success
DevOps succeeded technically with CI/CD and automation but failed culturally. Explore why ‘you build it you run it’ created burnout and how platform engineering responds.