How to Forget About Performance Problems? Tarantool as the DBMS

on YouTube ↗38m

" summary

Describes using Tarantool as the database to handle Citilink’s product catalog where caching is not possible due to dynamic pricing. Covers deploying and operating Tarantool to achieve over 100,000 read/write operations per second with about 30 ms latency.

AI-written summary · about

" chapters (7)

1. 0:00Introduction
2. 7:13Caching problems and Tarantool
3. 10:41Choosing Tarantool
4. 13:10Tarantool integration
5. 18:08Developing with Tarantool
6. 25:58Current challenges
7. 28:51Q&A

" related talks

• 46mTarantool: How to Save a Million Dollars on Your DBDenis Anikin · HighLoad++ 2015
• 49mPrimary Use Cases for In-Memory DBMS Illustrated by TarantoolDenis Anikin · РИТ++ 2016
• 29mTarantool as a Platform for MicroservicesVladimir Perepelitsa, Anton Reznikov · HighLoad++ 2015
• 56mUsing Tarantool as a Data Virtualization PlatformK.Osipov, S.Myasnikov · РИТ++ 2016
• 54mArchitecture of a Reliable In-MemorDBMS: the Tarantool ExampleVladimir Perepelitsa · HighLoad++ 2022
• 47mStored Procedures in NoSQL DBMSs: The Tarantool ExampleDenis Linnik · HighLoad++ 2017
• 39mFrom PostgreSQL to Tarantool: Choosing When There Is No ChoiceEvgeniy Demkin, Lyubov Vaynshteyn · Joker 2022
• 23mSynchronizing Data from PgSQL to TarantoolVeniamin Gvozdikov · HighLoad++ 2017