⚙️DEVOPS / MLOPS / AIOPS
MLOps & Model Management
Kubernetes 1.33 - A Turning Point for MLOps and Platform Engineering - Kubernetes 1.33 marked significant improvements for MLOps operations, enabling better platform engineering practices. The release represents a turning point for managing machine learning workloads at scale. Source: Cloud Native Now
2026 Kubernetes Playbook: AI at Scale and Self-Healing Clusters - Industry analysis highlights that the heaviest AI workloads on Kubernetes in 2026 will be MLOps platforms, demanding coordination of bursty, resource-intensive machine learning operations. Source: Security Boulevard
DevOps Tools & Platforms
GitLab December 2025 Release - Latest Features for SaaS - GitLab released its latest SaaS features on December 28, 2025, continuing to enhance DevOps and CI/CD capabilities with new automation and workflow features. Source: GitLab
Infrastructure as Code
Hybrid MLOps Pipeline Implementation Guide - A comprehensive guide on implementing hybrid MLOps solutions using OpenShift for orchestration and AWS for computing resources, optimizing costs and performance. Source: DEV Community
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