John Lewis

Week 2 of Spring into AI challenged us to write an tool that AI can use. I decided to create a SQL Server DB Profiler skill that an agent can invoke. I wanted to move metrics closer, within my IDE. Usage: "DTUs comin in hot! Check last 3 hours. Show top 3 offenders." Output: A synopsis of top N offending queries over last N hours, invocation counts, cpu waits, and tuning recommendations. I chatted with GPT about what kind of metrics are possible to query SQL Server for. Then I asked it to produce a small suite of sql scripts and a powershell script to map input sentiment to input params in the sql scripts, and aggregate the output into a synopsis that relays the real current state of things, so I can quickly take action. Great for when those monitoring alarms go off.. I mean, of course, they never do, but just in case ;) src: https://lnkd.in/gnRDjsNd https://lnkd.in/gFPY2sAn

9

By Clay Wesener, Partner GPM, Power Apps Studio By Clay Wesener, Partner GPM, Power Apps Studio (Spanish below) 🚀 New in Power Apps: Create Power Pages sites and use Copilot Studio agents to automate tasks. Improve your workflow! 🔧 Plan Design: Manage data models, reuse components, and associate multiple solutions. Optimize your projects! 🤖 AI in Development: Integrate models from Azure AI Foundry and use generative pages. The future of app development is here! -*-*-*- 🚀 Nuevas en Power Apps: Crea sitios de Power Pages y usa agentes de Copilot Studio para automatizar tareas. ¡Mejora tu flujo de trabajo! 🔧 Diseño de planes: Gestiona modelos de datos, reutiliza componentes y asocia múltiples soluciones. ¡Optimiza tus proyectos! 🤖 IA en desarrollo: Integra modelos de Azure AI Foundry y usa páginas generativas. ¡El futuro del desarrollo de apps está aquí!

1

Managing a database cluster shouldn't feel like a full-time game of "Whack-A-Mole." If you're tired of manual monitoring and reactive troubleshooting, it’s time to look at MariaDB Enterprise Manager (MEM). MEM provides a single pane of glass to deploy, monitor, and manage your entire MariaDB Enterprise ecosystem. Why it’s a game-changer: Visual Cluster Management: Deploy and scale complex topologies in clicks, not scripts.  Advanced Monitoring: Deep insights into query performance and resource utilization.  Intelligent Alerting: Catch bottlenecks before they become outages. Security at Core: Audit your environment and manage users from one central hub. Give your team the gift of observability. Spend less time keeping the lights on and more time building great features. #MariaDB #DatabaseManagement #DBA #OpenSource #EnterpriseTech #DataInfrastructure #Monitoring

8

Bicep extension support for Microsoft Desired State Configuration (DSC) was deprecated and will not be coming in the next releases. So, what do you do if that was the authoring experience you were looking for? You build yourself a VSCode "completer provider" extension to enhance the authoring experience. A quick glimpse at what's coming: #development #vscode #microsoftdsc #authoringexperience

20

5 Comments

Data processing and data sovereignity are more and more important. For Copilot there will be "in country data processing" for selected countries. there is an updated announcement here. https://lnkd.in/ggZrb28y #microsoft365 #Copilot

22

2 Comments

Part 2 is live: C.R.A.F.T. Framework with .NET and Azure I broke down exactly how we're using systematic AI-assisted development on my current restaurant tech platform. Key insights: ✅ Multi-agent orchestration: Claude Code for complex logic, Copilot for patterns, GPT-5 for troubleshooting ✅ Centralized documentation that all AI agents reference ✅ GitHub Copilot's Azure integration providing real-time infrastructure context ✅ Multi-layer security scanning catching issues automatically ✅ What actually breaks (file sprawl, multi-tenant logic gaps, performance assumptions) The reality: Different AI models excel at different tasks. The teams getting 3-4x velocity aren't using one tool—they're orchestrating multiple agents with consistent documentation and validation. This is production implementation, not proof of concept. Multi-repository architecture. Real security requirements. Actual scaling constraints. Article: https://buff.ly/MPRBRvL What's your experience with multi-agent AI development? #SoftwareDevelopment #ArtificialIntelligence #DotNet #Azure #DevSecOps

2