DevOps

Build a Simple GPU-Enabled Kubernetes Cluster on Azure N-Series VMs

Audience: Platform engineers, ML engineers, and developers who need a small, understandable GPU development cluster without the abstraction of a managed Kubernetes service. Reference topology: Role Azure VM size Operating system Purpose Control plane Standard_D8s_v6 Ubuntu 24.04 LTS API server, scheduler, controllers, etcd GPU worker Standard_NC24ads_A100_v4 Ubuntu 24.04 LTS CUDA-enabled development workloads Software baseline: Kubernetes […]

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Building Production-Ready AI Agents in Microsoft Foundry: 10 Lessons Learned

A Real-World Scenario Imagine a customer support agent that answers invoice questions. During testing, everything works perfectly. But in production: The Finance API occasionally times out. The knowledge base contains outdated information. Tool calls fail during peak traffic. Token consumption rises unexpectedly. The result isn’t a broken AI model. It’s an unreliable system. This is

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Outgrowing SQL Server Express? Upgrade to Azure SQL Database Free Tier in 3 Steps

If you’ve been building local prototypes, internal tools, web backends, or lightweight services on SQL Server Express, you know the routine: it’s free, familiar, and gets the job done – until you hit hardware limits or spend weekends manual backup scripts and handling OS patches. Learn how to upgrade from SQL Server Express to Azure

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Container Network Insights Agent (CNIA): Your AI Teammate for AKS Networking Incidents

Hello Folks! If you run AKS in production, you already know the script. A pod cannot reach an external service, every dashboard says the cluster is healthy, and somebody is SSHing into a node with five browser tabs open trying to piece the story together.  This session from the Microsoft Azure Infra Summit 2026 tackles

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Microsoft Foundry’s New Model Wave

The era of the single best model is over Microsoft Foundry is no longer just a shelf of foundation models. It is becoming an enterprise model portfolio: frontier models for complex reasoning, cost-optimized models for scale, specialized models for documents and media, and first-party Microsoft AI models for text, image, voice, and speech. That shift

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Lessons Learned #551: Azure SQL Connection Timeouts: Three Things to Check

An application starts reporting intermittent timeouts when connecting to Azure SQL Database. Some requests succeed, others fail, and a test from a developer’s laptop works perfectly. The database appears online, no recent deployment seems related, and the natural reaction is to ask: Is Azure SQL unavailable? Is the firewall blocking the connection? Should we increase

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From Alert to Resolved: Building a Self-Healing Azure Platform with SRE Agent

Hello Folks! It’s 3 a.m. Your phone lights up. A critical workload that spans multiple clouds is on fire, ownership is fuzzy, the alert routed to the wrong team first, and now it’s your problem. You sit up in bed, cold and groggy, and start the ritual. Open the runbook. Pull logs from one place.

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Enabling DB Auditing in Azure SQL DB hangs for a long time

Issue An issue was brought to our attention recently where an azure SQL DB was generating an error when the customer was trying to enable database level Auditing. The first error was observed when the customer was trying to enable auding with a storage location as the destination. Here’s the error message he received: The

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Docker Desktop and Zabbix Container Stack deployed with VSCode and Copilot

Having fun and learning from containers in my Docker Test Lab Intro This practical how-to shows how to install a Zabbix container monitoring stack on Docker Desktop, using VS Code Insiders and Copilot Chat as the development workflow. I was just testing and see how these products come together. Why this setup? Docker Desktop gives

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SQL Data Sync Retirement: Migration Insights and Modern Alternatives

What started as a routine customer discussion quickly evolved into a strategic modernization conversation. A service that had quietly synchronized business-critical data for years was approaching retirement, prompting an important question: What should organizations do next?  Every service retirement is an opportunity to reassess architecture, reduce technical debt, and build for the future. When a

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