DevOps / MLOps / AIOps
DevOps Tools & Platforms
- How AI Will Redefine DevOps in 2026 - Intelligent DevOps in 2026 uses autonomous delivery systems with data feedback to learn and continuously improve on every release. Source: DevOps Digest
- How AI Is Transforming Cloud Development in 2026 - DevOps pipelines evolved into intelligent, adaptive systems powered by AI instead of static, rule-based workflows. Source: Refonte Learning
MLOps Platforms
- DevOps Engineering in 2026: Top Trends, Skills, and Career Strategies - MLOps as the DevOps of AI streamlines model training, deployment, and monitoring for reliable, scalable, repeatable AI systems. Source: Refonte Learning
- AI-Ready Tech Stacks: Tools Leaders Use To Build Smart Products - DevOps practices enable safe releases while AIOps adds smarter monitoring for intelligent, fast-moving teams. Source: Nima Pinfotech
Container & Orchestration
- 5 Tech Predictions for 2026: From AI Inference to Kubernetes - Kubernetes emerges as unified control plane with AI-driven transformation leading 2026 DevOps evolution. Source: The New Stack
- Best CI/CD Tools for Kubernetes: Streamlining the Cluster - Compare top platforms like Qovery, Argo CD, and GitHub Actions to optimize Kubernetes workflows. Source: Qovery
AIOps & Intelligent Operations
- DevOps Practices and Trends: What to Expect For 2026 - AIOps focuses on automating IT operations using machine learning to detect anomalies, identify root causes, and optimize performance. Source: Inclusion Cloud
- AIOps Transforming Cloud-Era DevOps Monitoring - AIOps reduces alert noise, predicts issues, and enables faster, smarter incident resolution in modern cloud environments. Source: AIOps Community
No comments:
Post a Comment