Generative AI Workloads Go Enterprise
π€ LLMs are moving beyond pilot projects. From copilots to call center bots, every hyperscaler is retooling for AI-centric demand. Expect innovation in vector databases, cost optimization, and GPU scheduling.
FinOps Moves from Tool to Team
π° As GenAI bills spike and boardrooms demand cost visibility, FinOps is evolving into a formalized business discipline. Expect convergence with ESG, engineering, and procurement teams.
Sovereign Cloud Becomes a Requirement
π Regulations and geopolitical pressure are forcing hyperscalers to launch sovereign regions. Enterprises, meanwhile, must consider sovereignty in their cloud strategy.
Carbon Tracking Comes to the Stack
π± With stricter ESG disclosures, cloud teams are expected to optimize not just for latency or cost β but carbon. Carbon-aware schedulers and green engineering are rising trends.
Vertical Clouds Are Heating Up
π Regulated industries are ditching general-purpose solutions for domain-optimized ones β like AWS for Healthcare or Azure for Retail β with security and compliance baked in.
AI-Powered Developer Tools Take Over
π οΈ From Cursor to GitHub Copilot and Gemini to Kiro, AI assistants are now standard in the IDE. Productivity is being redefined by prompt fluency and context-aware code generation.
Kubernetes Gets Simpler (Finally)
π§© Orgs relying on homegrown K8s dashboards dropped from 43% in 2023 to 34% in 2024, while managed solutions surged. With new tools reducing YAML toil, K8s is becoming vastly easier to operate.
Edge Computing Finds Its Killer App
π Latency-sensitive inference at the edge is driving deployment in autonomous vehicles, robotics, and real-time manufacturing QA. Edge AI is no longer a concept β itβs the next cloud frontier.