DEVOPS / MLOPS / AIOPS
DevOps Tools & Platforms
• How AI Will Redefine DevOps in 2026: From Automation to Intelligence - Analysis of how AI and machine learning are transforming DevOps from production line automation to intelligent orchestration with human-machine collaboration. Source: DevOps Digest
• ArcKit v0.10.0: Platform Economics and FinOps for DevOps - ArcKit releases new commands for platform design, operational maturity, and cloud financial governance, advancing DevOps capabilities. Source: Medium
• Azure Storage 2026: M-Series Advancements Push Performance Boundaries - Microsoft announces Azure Storage M-series advancements with 780k IOPS and 16 GB/s throughput for enterprise workloads. Source: Microsoft Azure Blog
MLOps Platforms
• From DevOps to MLOps: A Practical Guide for 2026 - Comprehensive guide for DevOps engineers transitioning to MLOps, covering skill sets, best practices, and modern ML deployment patterns. Source: DevOpsCube
• Machine Learning in 2026: Trends, Skills, and Career Opportunities - In-depth exploration of ML trends, in-demand skills, and emerging career paths shaping AI and data-driven innovation. Source: RefonteAI Learning
Container & Orchestration
• 5 Tech Predictions for 2026: Kubernetes as the Unified Control Plane - Analysis predicting Kubernetes will serve as the unified control plane for AI inference, edge computing, and specialized agent workloads. Source: The New Stack
• Kubernetes Fuels AI Growth: CNCF Survey Shows Container Orchestration Evolution - CNCF Cloud Native Survey confirms Kubernetes has evolved from container orchestration to the backbone of modern cloud-native AI infrastructure. Source: Linux Foundation
• Top 18 Kubernetes Cost Optimization Strategies in 2026 - Practical guide to reducing operational expenses and optimizing resource utilization in Kubernetes clusters. Source: Finout
AIOps & Intelligent Operations
• Observability Trends 2026: AI-Driven Intelligence and Cost Optimization - IBM analysis on how AI will make observability strategies more intelligent, cost-effective, and compatible with open systems in 2026. Source: IBM Insights
• What "AI Ops" Really Means in 2026: Beyond Traditional IT Operations - Exploration of how AIOps has evolved fundamentally, going beyond simple automation to intelligent autonomous operations. Source: tknOps
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