Meet up

LDN Talks May 2022 - Quickwit Takeover

FREE: Register Now

Monday, 30th May, in London

This meetup is organised by Rust London User Group Starts at 5:30 PM UTC (5:30 PM UTC)

Overview

The Rust London User Group is happy to announce our second takeover event of 2022. Our guests this month are the team from Quickwit. https://quickwit.io/

We are very excited to have a stellar line-up of speakers from the Quickwit Team, which include:

  • Evance Soumaoro
  • Harrison Burt (aka ChillFish)
  • Francois Massot

Follow them on Twitter @Quickwit Checkout their Github @Quickwit

LNX: Using Tantivy to build one of the fastest search engines around

LNX aims to be one of the most performant and cost-effective search engine alternatives to Elasticsearch and Algolia for typo-tolerant search. It offers a wide range of features thanks to the ecosystem it stands on, including but not limited to: complex query parser, typo-tolerant fuzzy queries, typo-tolerant fast-fuzzy queries (pre-computed spell correction), more-like-this queries. It thrives to provide more for your hardware. In this talk, we take a look at how LNX uses Tantivy and other optimisations to create a lightning-fast search experience for you and your users.



Building a 10x more efficient search engine for log management.

In today’s modern world, any systems/servers/applications produce an increasing tremendous amount of logs and you often have to choose between costly SaaS services or on-premise solutions that are hard to manage at a large scale.

That’s why we build Quickwit from the ground up to make it cloud-native. In this talk, we will see how we re-designed indexing and search to truly decouple storage and compute, and create stateless search instances while keeping a sub-second response time.



Chitchat: Decentralised cluster membership with failure detection in Rust

In this talk, first, we briefly describe Quickwit’s previous cluster management implementation. Then deeply explore the new implementation based on the scuttlebutt algorithm while highlighting our motivations and what the current rust ecosystem offers. The algorithm presented here is also what powers Apache Cassandra cluster feature. We finally conclude by presenting a couple of tricks we used to overcome some implementation challenges while contrasting with the solutions adopted by Apache Cassandra.



Who's coming?

Attending Members