We just released a 4-part PostgreSQL on Azure series focused on the real-world challenges developers actually run into: • Building AI agents that actually work • Migrating without the manual grind • Optimizing PostgreSQL performance • Scaling to meet the most demanding workloads Whether you’re building AI agents or handling migrations, PostgreSQL needs to be ready for modern app demands. Each episode is built around practical, hands-on workflows you can apply right away. Watch the full series: aka.ms/PostgresLikeApro
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Can't wait for this series to go live! Had a blast recording this!! I will walk through how to build AI Agents with your Postgres Database like a Pro! #postgres #azure #ai #agents
We just released a 4-part PostgreSQL on Azure series focused on the real-world challenges developers actually run into: • Building AI agents that actually work • Migrating without the manual grind • Optimizing PostgreSQL performance • Scaling to meet the most demanding workloads Whether you’re building AI agents or handling migrations, PostgreSQL needs to be ready for modern app demands. Each episode is built around practical, hands-on workflows you can apply right away. Watch the full series: aka.ms/PostgresLikeApro
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Excited to be part of this PostgreSQL on Azure series! I’ll be sharing a video on Scaling to meet the most demanding workloads focused on practical ways to handle scale, performance, and real-world challenges. Check out the full series below 👇 #PostgreSQL #AzureDatabaseForPostgreSQL #Scalability #Cloud
We just released a 4-part PostgreSQL on Azure series focused on the real-world challenges developers actually run into: • Building AI agents that actually work • Migrating without the manual grind • Optimizing PostgreSQL performance • Scaling to meet the most demanding workloads Whether you’re building AI agents or handling migrations, PostgreSQL needs to be ready for modern app demands. Each episode is built around practical, hands-on workflows you can apply right away. Watch the full series: aka.ms/PostgresLikeApro
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We’ve been working on a new series with the Azure Database for PostgreSQL, Azure HorizonDB and AMD teams 🎉. The new PostgreSQL Like a Pro video series designed to help you unlock the full potential of PostgreSQL across the Microsoft ecosystem, from Azure and VS Code to AI-powered and agent-driven apps. PostgreSQL is already an amazing foundation, but stitching together performance, scaling, migrations, and AI experiences can be tricky. In this series, we focus on making that journey smoother with practical guidance and real demos you can actually use. Here’s a quick preview of what we cover: • Building smarter AI agents with MCP and vector search • Simplifying migrations with AI-assisted tooling in VS Code • Optimizing performance and resiliency on Azure • Scaling with new capabilities like Azure HorizonDB our new PostgreSQL based offering. If you’re building with PostgreSQL and want to learn more, this series is for you. Watch the series: https://lnkd.in/e5DEHMen Read our blog: https://lnkd.in/eqfsBwnq
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🚀 Azure Databricks makes data feel effortless—VS Code feels like heavy lifting. Perks of spending years in DBX. No more going back to VSCode.
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It's rough out there, y'all... Airflow 2.x went end-of-life yesterday. No maintenance, no bug fixes, no CVE fixes (despite what a certain few CSPs are telling their customers 😂 ). Stories from the field coming in thick and fast... MS Azure: "I had a prospect confirm today that Microsoft's managed Airflow inside Fabric is stuck on 2.10.5, which is now EOL with no security patches or CVE fixes. No public commitment from MS on Airflow 3 support." AWS MWAA: "Development/testing currently in production; no simple way to spin up dev environments. MWAA Local Runner trialed but abandoned due to complexity. The upgrade is slow and manual. requires parallel instances for ~1 month and DevOps support" GCP Composer: "Just migrated from Airflow 2.10.5 to Airflow 3.1.7 on Composer 3 and noticed a massive performance hit on task startup times. We're seeing a consistent 10–30 second lag at the beginning of every single task" Spicy Just do it on Astro Astronomer #airflow
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Eric D. Boyd (Microsoft MVP, Regional Director, and CEO of responsiveX) just shared a great preview of his session at Azure Cosmos DB Conf 2026. If you're working on distributed systems, this is worth your time. He’s diving into: distributed locks, sagas, and coordination patterns using Azure Cosmos DB—focused on the problems that actually show up in production: retries, race conditions, cross-region workflows, and correctness under load. This isn’t theory. It’s the kind of work teams deal with when systems have to be reliable at scale. Good read and a solid preview of what to expect at the event: https://msft.it/6040v8FI8 #AzureCosmosDB #AzureCosmosDBConf
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Server down!! Server down!! Good evening humans of earth. As you may know, I have been on a mission to get all our data platform stuff to SaaS because infra is non when you're running a small team with extensive scope and limited resources. It was very satisfying to kill the legacy SQL Server in 2023 (ala Arnie: "consider that a divorce"). And that dumb SFTP server, well good riddance to that too. But there was some persistent EC2 footprint and the final instance is ready to be powered down. The last push was to get a process that isn't meant to exist, and nobody really wants or knows about, off that platform. I got AI to write some python scripts and rehouse to AWS lambda. If AI never does anything else, helping me avoid suffering with boto3 is enough. So, come resumption of business next week, the server will be down, and it won't be a sev1, it will be...Zen.
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I Wasted 68 Minutes a Day Re-Explaining My Code. Then I Built auto-memory. | All things Azure It’s Not a Memory System. It’s a Recall System. This is the key insight that made auto-memory simple. I didn’t need to build a memory system. Copilot CLI already has one — it writes structured session data to SQLite after every conversation. Sessions, turns, files touched, checkpoints, summaries. The database is already there, already populated, already growing with every session you run. What was missing was recall — a way for the agent to query that database cheaply and get exactly the context it needs. auto-memory is a read-only query layer. It never writes to the session database. It can’t corrupt anything. It just reads what’s already there and returns it in a format the agent can consume in 50 tokens. More, https://lnkd.in/ggeYaRzK
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The 'PostgreSQL Like a Pro' video series just dropped, and the most interesting segment is about using the Model Context Protocol to let AI agents query your PostgreSQL database using natural language -- including vector searches -- without leaving Microsoft Foundry. It also covers AI-assisted migration from Oracle to Azure Database for PostgreSQL using an 'agentic self-correction' approach in VS Code, and introduces Azure HorizonDB, a new PostgreSQL offering with decoupled compute and storage for mission-critical workloads. PostgreSQL has always been the 'boring but reliable' choice, which is exactly why it's becoming the default data layer for agent-powered applications. The ecosystem maturity and pgvector support make it a natural fit. What database patterns are you seeing emerge as teams build more agent-driven workflows? https://lnkd.in/eZD_uaUP
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Ever wanted page views on your blog without signing up for yet another tool? Same! I wrote up a way to do it with one script tag and ✨zero✨ analytics sign-ups: 🔗 https://lnkd.in/gyJ7ChaQ The ground rules: ✅ No analytics sign-ups ✅ No cookies ✅ No raw IP storage ✅ Data stays in your AWS account ✅ Deploys with a single CLI command Under 150 lines of TypeScript, running on Lambda + DynamoDB + API Gateway, and deployed with CDK. You need an AWS account, but the data is yours, and it's all Free Tier eligible. Have you ever built anything yourself to avoid signing up for another tool? 😅 #AWSFreeTier #CloudComputing #BeginnerProjects
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Grandioso vedere l'attenzione su PostgreSQL e le sue applicazioni pratiche. L'intelligenza artificiale ha il potenziale di trasformare radicalmente questi processi, soprattutto quando sono supportati da flussi di lavoro strutturati. Investire in solide integrazioni e ottimizzazioni non solo migliora le prestazioni, ma prepara anche le aziende a utilizzi futuri più scalabili e sostenibili. La vera sfida sarà mantenere la flessibilità necessaria per adattarsi a scenari in continua evoluzione, e la giusta tecnologia può fare la differenza.