Backend Engineering with Cache - Advanced case studies

Selecting and using the appropriate data store layer is often a crucial aspect in our pursuit of developing a fast and reliable application. In this meetup, we'll explore various cases of utilizing cache-like mechanisms in different ways to achieve distinct goals based on the specific needs of the different systems.

Gett ready for an evening of tech brilliance, and valuable insights from our expert speakers! 🌐🎤🚀

⏰12.2.24 (Monday), 18:00-20:30
📍 Habarzel 19, Ent D, 1st Floor, Tel Aviv (Gett's Office)

Agenda:
18:00 - Gathering & Networking

18:30 The Driver Online Journey
Speaker: Boris Belozovsky, Senior Architect, Gett
A story about a long and intricate journey to make fast and furious service handling driver information, where Redis is serving as the foundational storage layer

19:00 Increasing DB SLA & cutting infra costs with no R&D intervention
Speakers: Matan Nataf, Co-Founder & CEO at Rapydo & Elad Aviv, DataOps Engineer at Trax
Rapydo has an observability & automation platform that helps companies use query caching & other query automation techniques with zero code changes powered by Rapdyo Proxy.
Trax will showcase, how they were able to prevent downtime and reduce infrastructure costs with no code changes or R&D intervention, solely by using the Rapydo Proxy caching & throttling capabilities within the DevOps team.

19:30 Redis data Integration for lightning fast applications
Speaker: Oren Elias, Software Architect at Redis
A deep dive into Redis Data Integration - the most effective way to
pre-fetch data into Redis Enterprise. We'll explore how to make real-time replication simple and how Redis Data Integration helped a large bank speed up its mobile banking by an order of magnitude!