Microsoft Reactor

About London Reactor Meetup
Microsoft Reactor London Meetups are a community of like-minded engineers, developers, professionals and students, allowing you to connect with people, skills, and technology to enhance your career or personal learning. Our regular meetups are an opportunity to hear from leaders in the industry about challenges, tooling and best practices. If you are interested in speaking or want to suggest a talk you’ve heard before, please do let us know (no vendor / recruitment / sales pitches please).

DevOps meets AI

DevOps is inherently a cultural shift with a mass of technologies involved at many stages of the lifecycle. Over the past year we have seen a huge change in the AI sector and this developers, entrepreneurs and businesses are all stating to adopt this technology and make it a part of their everyday development. With this being the case, the DevOps lifecycle is going to pivot and change for everyone in one way or another so lets dive into how this is happening!

Agenda

6:30PM – 6:40PM: Welcome by Liam Hampton, Senior Cloud Advocate at Microsoft
6:40PM – 7:00PM: GitHub Copilot throughout the development lifecycle, Chris Reddington, Senior Manager, Developer Advocacy at GitHub
7:00PM – 7:20PM: LLMOps - Building Skills for the AI World, Aravind Putrevu, Dev GTM Advisor at SurrealDB
7:20PM – 7:50PM: Break
7:50PM – 8:15PM: TBC

Session Descriptions

GitHub Copilot throughout the development lifeycle

With decreasing budgets, growing backlogs, increasing responsibility and complexity, ensuring our engineering teams have a great development experience has never been more important. Join Chris, as he shows how GitHub Copilot can support you throughout your development lifecycle.

LLMOps - Building Skills for the AI World

We have all been through the DevOps wave that affected many platforms and technology. With Generative AI, most of the built workflows, automation and experiences are being revolutionised. Aravind will unravel the intricate relationship between LLMOps and traditional DevOps, highlighting the revolutionary impact of AI-enabled experiences on various aspects of DevOps including Observability (with a focus on the context of Logs, Metrics, and Traces in LLMs), FinOps, Continuous Integration and Continuous Deployment (CI/CD), Infrastructure as Code (IaC), and Security.