Tech Events & Workshops

A practical two-hour session investigating how SQLx can detect invalid SQL, incompatible parameters, missing columns, and incorrect Rust mappings during compilation rather than after deployment. The session follows a query through the boundary between Rust and the database: from the SQL text and bound parameters, through schema inspection and type analysis, to the Rust value returned to the application. We will deliberately break queries, change schemas, and introduce type mismatches to understand what SQLx can prove before runtime—and what it cannot. The emphasis is not on memorizing an API. It is on understanding the engineering model behind compile-time checked SQL, the role of migrations in preserving that model, and the practical consequences for local development, testing, continuous integration, and deployment. Audience: developers who want to understand how Rust can provide stronger guarantees around ordinary SQL without replacing SQL with an ORM or query language. Outcomes: * Trace how SQLx validates a query during compilation * Understand how database metadata informs Rust type checking * See compile-time failures caused by invalid queries and incompatible result types * Understand why the current schema matters during a build * Connect database migrations to query correctness * Distinguish checked macros from runtime query APIs * Evaluate when compile-time SQL checking improves a project and when it adds friction Format: two hours with a guided investigation, broken-query experiments, migration examples, discussion of operational tradeoffs, and a reusable checklist for database code.

🚀 Join us for an exciting Ubuntu TechHive meetup where we'll delve into packaging and deploying AI models together with AI apps using Infrastructure as Code techniques and containers! Whether you're new to the field or looking to expand your knowledge, this beginner-friendly session is designed to walk you through the process step by step. 🎯 **Agenda**: - **Introduction**: Get acquainted with the concept of packaging and deploying AI models and apps. - **Manual Process**: Explore the manual process of packaging and deploying AI models and apps. - **Infrastructure as Code (IaC) Tooling**: Discover the use of IaC tooling for Continuous Integration and Continuous Delivery. - **Containerization**: Learn about containerization techniques for AI models and apps. 📍 **Who Should Attend?** - Beginners interested in packaging and deploying AI models and apps. - Tech enthusiasts looking to expand their knowledge in Infrastructure as Code and containerization. 👋 We look forward to seeing you there and exploring the exciting world of packaging and deploying AI models and apps together!