In January 2026, GitHub Copilot has evolved far beyond its origins as an autocomplete tool. With Agent Mode now the practical default for millions of developers, Copilot can autonomously debug issues, refactor entire codebases, orchestrate multi-file edits, and even execute terminal commands—all while maintaining repository context across sessions. This comprehensive guide explores how Agent Mode […]
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Ingress NGINX Deprecation: Complete Migration Guide to Kubernetes Gateway API
In January 2026, the Kubernetes Steering and Security Response Committees issued a critical warning: Ingress NGINX will cease receiving security patches from March 2026. With approximately 50% of cloud-native environments relying on this controller, this deprecation represents one of the most significant infrastructure migrations in Kubernetes history. This comprehensive guide provides a step-by-step migration path […]
Read more →Kubernetes 1.35: In-Place Pod Resource Updates and AI Model Image Volumes
Kubernetes 1.35, released in January 2026 and now supported on Amazon EKS and EKS Distro, marks a significant milestone in container orchestration—particularly for AI/ML workloads. This release introduces In-Place Pod Resource Updates, allowing you to resize CPU and memory without restarting pods, and Image Volumes, a game-changer for delivering large AI models using OCI container […]
Read more →Production Model Deployment Patterns: From REST APIs to Kubernetes Orchestration in Python
After deploying hundreds of ML models to production across startups and enterprises, I’ve learned that model deployment is where most AI projects fail. Not because the models don’t work—but because teams underestimate the engineering complexity of serving predictions reliably at scale. This article shares production-tested deployment patterns from REST APIs to Kubernetes orchestration. 1. The […]
Read more →Production-Ready Agents: Observability, Security & Deployment – Part 8
Deploy AI agents to production with enterprise-grade observability, security, and resilience. Complete guide to OpenTelemetry, content safety, and Azure deployment.
Read more →Production Data Pipelines with Apache Airflow: From DAG Design to Dynamic Task Generation
After 20 years in enterprise data engineering, I’ve implemented Apache Airflow across healthcare, financial services, and cloud-native architectures. This article shares production-tested patterns for building resilient, scalable data pipelines—from DAG design principles to dynamic task generation strategies that handle thousands of workflows. 1. The Fundamentals: Why Airflow Remains the Standard Apache Airflow has become the […]
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