Integration of load and performance tests into CI/CD of microservice
Speaker: Mikhail Venediktov
Date: 26.05.25
Time: 15:00 – 16:00
Place: classroom 1E 1.4
Contact: mikhail.venediktov@t-systems.com
Imagine deploying a new feature, only to have your production crash under unexpected load—users are frustrated, revenue is lost, and your team scrambles to fix the issue. Regular load testing helps, but if it’s not integrated into CI/CD, these problems can slip through until it’s too late. We’ll discuss how to embed load testing into GitLab pipelines to catch performance bottlenecks early and ensure your application scales reliably with every deployment.
Improve RAG chatbot with Ragas
Speaker: Andrei Zaitcev
Date: 19.05.25
Time: 11:30 – 12:30
Place: classroom 1e 2.3
Contact: andrei.zaitcev@t-systems.com
Language models like ChatGPT are powerful, but they’re not perfect — they struggle with outdated knowledge, can lose track of relevant information over long conversations, and sometimes generate responses that drift from the facts due to lack of grounding in external data. Now imagine building AI systems that can pull in the right information at the right time — grounded, dynamic, and domain-specific. That’s the power of Retrieval-Augmented Generation (RAG). In this talk, we’ll explore how RAG works, what its architecture looks like, how it improves the reliability and usefulness of AI systems, and why it’s becoming an essential tool in the modern AI engineer’s toolkit.