PowerShell + DevOps Global Summit 2026

Unlock dramatic performance boosts in your PowerShell scripts with LINQ, a powerful .NET feature. This session shows why traditional PowerShell methods can slow down on large datasets, and demonstrates how LINQ expressions can deliver performance gains of 10x or more. Through live demos and practical examples, you'll learn to spot performance bottlenecks and speed up sluggish scripts using compiled expressions and efficient query methods. We’ll also explore how AI can help us write these expressions.

Discover how PowerShell developers can dramatically expand the reach and impact of their work by transforming their scripts and modules into AI-accessible tools using PoshMcp (a Model Context Protocol - MCP - server). This session is designed specifically for PowerShell developers who want to unlock new opportunities in the rapidly growing AI ecosystem.Learn how PoshMcp automatically transforms your existing PowerShell cmdlets, functions, and modules into tools that AI agents can discover, understand, and execute. Your carefully crafted scripts—whether they manage Active Directory, automate cloud deployments, or perform system diagnostics—can suddenly become accessible to users who may never have touched a command line, dramatically expanding your audience and increasing adoption of your tools.

PowerShell is more than just a scripting language; it's a robust platform for working with data from a wide range of sources. In this session, we’ll explore how you can harness PowerShell to import, transform, analyze, and persist data effectively, empowering your automation and reporting workflows.We’ll begin by covering the different ways to bring data into your scripts, including querying SQL databases, calling REST APIs, and reading from local files like CSV, JSON, and XML. You’ll learn how to write data-driven scripts that adapt based on structured input, enabling dynamic behavior and flexible automation.We'll demonstrate how to shape that data for structured output and reporting, covering practical export scenarios and real-world use cases like dashboards, audits, and inventory summaries.To take things further, we’ll introduce how AI can enhance your data workflows by using it to:• Normalize messy or inconsistent input data• Detect outliers and anomalies in logs• Classify and categorize data for smarter automation decisionsWhether you're reporting on system state, automating audits, or preparing data for compliance, you’ll walk away with reusable patterns and production-ready code for solving real-world, data-centric challenges using PowerShell supercharged with AI.