Comprehensive production operations guide for distributed edge AI deployments. Covers Prometheus/Jaeger monitoring integration, data drift detection with statistical analysis, model versioning and registry management, canary deployment with automated rollback, OTA update orchestration, and fleet management patterns for 100+ edge devices.
Category: Devops
Azure AI Foundry with Anthropic Claude Part 6: Claude Code + Azure DevOps Integration – Automated Development Workflows
Comprehensive guide to integrating Claude Code with Azure AI Foundry and Azure DevOps. Learn environment setup, CLAUDE.md project context, GitHub Actions workflows, automated code review, test generation, Azure DevOps pipelines, and documentation automation for enterprise development workflows.
Azure Monitor with OpenTelemetry Part 7: Production Monitoring and Observability Patterns
Master production observability with OpenTelemetry and Azure Monitor. Learn intelligent sampling strategies, actionable alerting patterns, performance optimization, cost management, operational dashboards, and incident response integration for enterprise-scale applications.
Model Context Protocol Part 6: Production Deployment and Monitoring at Scale
Master production deployment of MCP servers with Kubernetes orchestration, CI/CD automation, OpenTelemetry monitoring, and performance optimization strategies for enterprise-scale AI integration.
How to Setup Docker: Complete Installation Guide for Linux, Windows, and macOS
Docker has transformed modern software development by enabling developers to package applications with all dependencies into standardized containers. Whether you are building microservices, setting up
Vector Databases Part 7: Production Deployment Patterns and Operations
Moving vector databases from development to production requires addressing challenges that prototype implementations ignore including high availability, disaster recovery, cost optimization, and operational monitoring. Production
Building Custom MCP Servers on Azure
In the previous posts, we explored the Model Context Protocol as a universal standard and examined how Microsoft’s Azure MCP Server enables AI agents to
Secure DevOps and Software Supply Chain Security: Enterprise Implementation Guide
Implement comprehensive DevOps security and supply chain protection with SBOM generation, secret scanning, dependency analysis, code scanning with CodeQL, container security, and pipeline hardening. Complete guide with production-ready implementations in Python, Node.js, and C# for Azure DevOps and GitHub environments.
Secure DevOps and Software Supply Chain Security: Enterprise Implementation Guide for Azure and GitHub
Implement comprehensive DevSecOps security for Azure and GitHub environments. Complete guide covering software bill of materials (SBOM), GitHub Advanced Security, artifact signing, supply chain provenance, and CI/CD pipeline protection with production-ready Python, Node.js, and C# implementations.
Code Review at Scale: How Copilot Agent Reduces Technical Debt
Discover how Copilot agent performs code review at scale, catching technical debt across entire codebases. Learn multi-dimensional analysis, real debt detection examples, integration strategies, and how to measure improvement.
