Tuesday, January 27, 2026

⚙️ DevOps / MLOps / AIOps [27-Jan-2026]

 

DevOps / MLOps / AIOps

DevOps Tools & Platforms

• The Cloud Engineer's Guide to 2026 - Companies are shifting from bespoke DevOps pipelines toward standardized, self-service platforms enabling team autonomy and faster delivery. Source: Medium 
• How AI Will Redefine DevOps in 2026 - Intelligent DevOps in 2026 utilizes autonomous delivery systems that learn from every release and continuously improve deployment processes. Source: DevOps Digest 
• Platform Engineering in 2026: 5 Shifts - Internal developer platforms are replacing traditional DevOps with better scalability, self-service capabilities, and integrated guardrails. Source: Growin

MLOps Platforms

• Astronomer Releases State of Apache Airflow 2026 Report - Apache Airflow 3 enters its most transformative stage with major data orchestration advances enabling next-generation AI/ML workflows. Source: Astronomer 
• Radicalbit MLOps Platform - Radicalbit supercharges AI model deployment, serving, observability, and explainability for production ML systems. Source: Radicalbit 
• Elucidata's Polly Platform for Life Sciences - Elucidata launches AI Lab with Polly MLOps platform helping life sciences teams connect and analyze multimodal datasets for drug discovery. Source: HPC Wire

Container & Orchestration

• Kubernetes Fuels AI Growth - CNCF reports 82% production Kubernetes usage among container users, with 66% of AI adopters using it to scale inference workloads. Source: CNCF 
• 5 Tech Predictions for 2026: Kubernetes & AI - Focus shifts to AI inference, open systems, Kubernetes as unified control plane, edge computing resurgence, and specialized AI agents. Source: The New Stack 
• Top 18 Kubernetes Cost Optimization Strategies - Comprehensive strategies for reducing operational expenses while maintaining Kubernetes performance and reliability. Source: Finout

AIOps & Intelligent Operations

• Why IT Leaders Are Consolidating Observability Tools in 2026 - Organizations consolidate tools to reduce noise, unify data, prepare for AI, and move toward autonomous IT operations. Source: LogicMonitor 
• AIOps Usage Increases Engineer Productivity - New Relic data shows AI-strengthened observability users shipped code 80% more frequently than non-AI users in 2025. Source: New Relic 
• AIOps: The Intelligent Evolution of Modern IT - AIOps applies AI, machine learning, and NLP to automate and intelligently manage IT operations at scale. Source: Medium

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