Test Day 2: SSMS 22.5 Copilot & Extended Events (Stop Digging into .XEL Files!)
Before we dive in, catch up on the previous episodes of my SSMS 22.5 deep-dive:
🔗 SQL Server: SSMS 22.5.0 Changes How You Work
🔗 Test Day 1: SSMS 22.5 Copilot vs. Complex Execution Plans
In this post, I’ll show you how the brand-new GitHub Copilot integration in SSMS 22.5.0 instantly translates thousands of cryptic Extended Events XML rows into clear, actionable performance insights. Stop wasting hours parsing .xel files and let AI pinpoint your database deadlocks in seconds!
TL;DR: What's New with XEvents & AI
- ✔️ Semantic Log Analysis: Copilot now summarizes
.xelfiles, identifying recurring error patterns instantly. 🔍- ✔️ "Natural Language" XEvents: Create new monitoring sessions simply by describing what you want to track. ✍️
- ✔️ Deadlock Visualizer 2.0: The AI graphically explains blocking chains and suggests optimal isolation levels. ⛓️
- ✔️ UI Stability: Improved rendering of the XEvent dashboard across multi-monitor setups. 🖥️
Hi SQL Server Guys,
We all know how important it is to make every second count when managing SQL Server environments. SSMS 22.5.0 brings key updates that will revolutionize the way we troubleshoot databases. After the massive success of yesterday's field test on execution plans, I wanted to raise the bar today.
Let's be honest: Extended Events are an incredibly powerful tool, but analyzing the collected data is often a complete nightmare of complex filters and manual XML parsing. With the April 2026 release of SSMS 22.5.0, Microsoft dropped a "hidden" but brutal feature: Copilot for XEvents Analysis. Let’s see how it handled a simulated CPU spike and deadlock storm in my lab.
What It Really Is
GitHub Copilot in SSMS has expanded its context window directly into the results pane and the Extended Events viewer. According to the official Microsoft documentation, the AI is now schema-aware and can interpret live output. Instead of manually exporting a deadlock graph and hunting for the victim, Copilot reads the XEvent payload natively and cross-references it with your database objects to give you a natural language breakdown.
🧪 The Field Test: From Chaos to Solution in 30 Seconds
I simulated a classic production problem: a legacy application generating hundreds of small deadlocks every hour, heavily disguised because they originated from different compiled stored procedures.
Instead of digging through the XML row by row, I opened the XEvent Live Data viewer in SSMS 22.5.0 and simply asked Copilot:
"Analyze the last 10 deadlock events. What is the most contested object, and which query is constantly losing the resource competition?"
💣 The AI's Answer
Copilot didn't just point out that the Sales.Invoices table was the bottleneck. It explicitly highlighted that the conflict occurred between a massive batch UPDATE and a reporting SELECT that was lacking proper locking hints.
-- 🤖 Copilot's suggestion to immediately mitigate the deadlock
-- After analyzing the XEvent session, Copilot suggests:
ALTER DATABASE [SalesDB] SET READ_COMMITTED_SNAPSHOT ON;
-- Alternatively, for the specific query:
SELECT * FROM Sales.Invoices WITH (NOLOCK) WHERE InvoiceDate = GETDATE();
🚀 My REAL Strategy
The integration of Copilot with Extended Events completely changes the rules of the game for 3 AM troubleshooting. Translating a binary log file into a conversational diagnostic report is priceless.
However, here is my advice as an "old wolf" of the DB world: do not let the AI dictate your isolation strategy.
Copilot will frequently suggest NOLOCK or Snapshot Isolation as a "magic wand" to fix blocking, but it is up to us to evaluate the impact on data consistency (like dirty reads). Use the AI to find the needle in the haystack, but rely on your expertise to sew the solution.
Pro-tip: Analyzing logs via Copilot consumes context tokens. If you are dealing with gigabytes of .xel files, make sure to natively filter the time range in SSMS before invoking the assistant to avoid hitting context limits.
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Biondi Luca @2026 - Sharing over 25 years of Gained Knowledge for Passion. Share if you like my posts!

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