DevOps / MLOps / AIOps
DevOps Tools & Platforms
• From DevOps to MLOps (A Practical Guide for 2026) - Practical guide covering essential tools (Docker, Kubernetes, Terraform) and cloud platforms for modern operations. Source: DevOps Cube
• How AI Will Redefine DevOps in 2026 - Intelligent DevOps systems will use data and feedback to learn from every release and continuously improve deployment. Source: DevOps Digest
• 2026 DevOps Tool Stack: Top Tools Dominating the Industry - Python, prompt engineering, and tools like n8n enable efficient MLOps without full platform investment. Source: LinkedIn
MLOps Platforms
• MLOps and AI Deployment Are the New Standard - Companies expect AI solutions to be production-ready and scalable, making MLOps infrastructure essential in 2026. Source: Refonte Learning
• Top LLMOps Tools & Compare to MLOps in 2026 - Valohai and other MLOps platforms now support LLMOps-friendly capabilities with reproducible pipelines. Source: AIM Research
Container & Orchestration
• Kubernetes Established as the De Facto OS for AI - Production Kubernetes usage surged to 82% (up from 66% in 2023), with 59% adopting cloud-native practices. Source: CNCF
• Kubernetes 1.35 Features That Change Day 2 Operations - Latest version released in December 2025 offers reliability and efficiency enhancements for K8s workloads. Source: The New Stack
AIOps & Intelligent Operations
• AIOps: The Intelligent Evolution of Modern IT Operations - AIOps platforms leverage NLP and machine learning to deliver proactive, data-driven operations. Source: Medium
• Observability Trends 2026 - Organizations must make observability strategies more intelligent, cost-effective, and adaptable to open standards. Source: IBM
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