DevOps / MLOps / AIOps
DevOps Tools & Platforms
- • DevOps Engineering in 2026: Top Trends and Skills - DevOps in 2026 emphasizes AI-driven automation, cloud-native architectures, and platform engineering strategies for enhanced operational efficiency. Source: Refonte Learning
- • DevOps Evolution Through Platform Engineering and AI - Modern DevOps is evolving toward platform engineering with AI-driven automation to enhance best practices and minimize operational friction. Source: LinkedIn
MLOps Platforms
- • AI-Ready Tech Stacks and ML Implementation - Teams are implementing sophisticated MLOps stacks with monitoring tools like Datadog, Prometheus, and New Relic to understand AI component behavior in production. Source: Inclusion Cloud
Container & Orchestration
- • 5 Tech Predictions: Kubernetes as Unified Control Plane - Kubernetes emerges as the unified control plane for 2026, with focus on AI inference optimization and GPU scheduling capabilities. Source: The New Stack
- • Kubernetes Innovation: GPU Scheduling and Heterogeneous Resources - Industry leaders predict GPU scheduling and heterogeneous resource management as primary concerns in Kubernetes deployments for AI workloads. Source: Medium
AIOps & Intelligent Operations
- • Kestrel: AI-Native Cloud Incident Response Platform - YC-backed Kestrel provides AI-native cloud incident response with 24/7 monitoring and self-healing capabilities for cloud infrastructure. Source: Y Combinator
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