DevOpsDays is a technical conference, aimed at developers, sysadmins and anyone else involved in technology, whether expert or beginner.

Scout continually tracks down N+1 database queries, sources of memory bloat, performance abnormalities, and more.

#AzureSQL #SQL #LearnSQL As we’re pushed into an AI-driven automatic world, it’s helpful if our chosen data platform automagically detects errors and takes actions to resolve those errors. How do we set that up? Join Anna Hoffman and Matt Gordon for a few minutes to see how to do just that. ✅ Chapters: 0:20 Intro to Matt Gordon, Microsoft MVP 1:20 Introduction to a large Global Glass sporting event (scenario for the demos) 2:08 Find anomalies in ticket sales or ETL pipelines 2:58 How to set up Change Event Streaming 6:04 Event stream in Fabric 6:30 What is an Eventhouse in Fabric 7:08 Anomaly detection 8:10 Code for detecting anomalies 8:30 Creating alerts with Activator in Fabric 9:00 Custom actions, notebooks, etc 9:30 Automagic line of code 10:22 Tips and tricks for getting started 10:40 Managed identities 10:50 It's just SQL plus customization ✅ Resources: A good general blog can be found at https://community.fabric.microsoft.com/t5/Fabric-Updates-Blog/Stream-SQL-Change-Events-to-Microsoft-Fabric-Eventstream-with/ba-p/5172004. A step-by-step tutorial (mostly) can be found at https://learn.microsoft.com/en-us/fabric/real-time-intelligence/event-streams/stream-sql-change-events-to-eventstream. Anomaly detection primer can be found at https://learn.microsoft.com/en-us/fabric/real-time-intelligence/anomaly-detection?tabs=eventhouse. About Matt Gordon: Matt is a Microsoft Data Platform MVP and has worked with Microsoft data technology since 2000 and Azure AI since 2017. He is the leader of the Lexington, KY Data Technology Group and a frequent domestic and international community speaker. He's a Redgate Community Ambassador and an author of two books. His original data professional role was in database development, which quickly evolved into query tuning work as a DBA in the healthcare realm. He has supported several critical systems utilizing SQL Server, Azure SQL, and Microsoft Fabric and managed dozens of 24/7/365 data estates. As a consultant, he works with customers large, medium, and small to migrate to the cloud, make their data estate operate efficiently, and find the right tools and solutions within the Microsoft data & AI ecosystem. About MVPs: Microsoft Most Valuable Professionals, or MVPs, are technology experts who passionately share their knowledge with the community. They are always on the "bleeding edge" and have an unstoppable urge to get their hands on new, exciting technologies. They have very deep knowledge of Microsoft products and services, while also being able to bring together diverse platforms, products and solutions, to solve real world problems. MVPs make up a global community of over 4,000 technical experts and community leaders across 90 countries/regions and are driven by their passion, community spirit, and quest for knowledge. Above all and in addition to their amazing technical abilities, MVPs are always willing to help others - that's what sets them apart. Learn more: https://aka.ms/mvpprogram 📌 Let's connect: LinkedIn, X, Bluesky, Github: @sqlatspeed Twitter: Anna Hoffman, https://twitter.com/AnalyticAnna Twitter: AzureSQL, https://aka.ms/azuresqltw 🔴 To watch other MVP Edition episodes, see our playlist: https://aka.ms/dataexposedmvps To check out even more Data Exposed episodes, see our playlist: https://aka.ms/dataexposedyt 🔔 Subscribe to our channels for even more SQL tips: Microsoft Azure SQL: https://aka.ms/msazuresqlyt Microsoft SQL Server: https://aka.ms/mssqlserveryt Microsoft Developer: https://aka.ms/microsoftdeveloperyt #AzureSQL #SQLServer

Slow SQL queries degrade user experience, cause cascading failures, and turn simple operations into production incidents. The traditional fix? Collect more telemetry. But more telemetry means more…

A demonstration that finds event drop-out anomalies in events with highly variable, but predictable rates - tdunning/interval_anomaly

VictoriaMetrics Anomaly Detection Q2 2026 updates: Temporal Envelope, faster backtesting and online inference, a redesigned UI, AI Copilot, MCP, skills, time-series analysis, and shared autotune.

VictoriaMetrics Anomaly Detection Q2 2026 updates: Temporal Envelope, faster backtesting and online inference, a redesigned UI, AI Copilot, MCP, skills, time-series analysis, and shared autotune.

New features in Google Analytics improve visualization, anomaly detection, and transaction tracking for better insights.

New features in Google Analytics improve visualization, anomaly detection, and transaction tracking for better insights.

Learn how AI-powered anomaly detection can revolutionize your business document workflows. Discover practical tips, tools, and case studies to ensure accurate, efficient, and compliant processes.

Kamran Asgarov Department of Engineering Mathematics and Artificial Intelligence, Azerbaijan Technical University, Baku, Azerbaijan Correspondence to: Kamran