Improve behavior of Rails fragment caching at high volume
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Rails fragment caching is one of simple tool against performance issue. Using memcache cache store you get a lean and scalable solution to cache part of request. Memcached support time based cache expiry which reduce down to zero the need for plumbing code for cache sweeping, while providing a decent generic solution to a lot of case. Yet when volumes is growing and fragment takes time to be generated it tends to create load of peak by synchronizing cache recalculation on multiple process, annihilating cache purposes and killing performance of the whole stack. The purpose of this talk is to describe the problem and propose an alternative cache store that preserves the simplicity of rails fragment cache mechanism based on time expiry while offering atomic cache invalidation and refreshing. This presentation was done during and for Paris.rb ruby user group on August '11. This should be considered experimental and open to discussion and improvement.
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As part of the talk, we will consider the architectural strategies necessary for the development of highly loaded fintech solutions. We will focus on using queues and streaming to efficiently work and manage large amounts of data in real-time and to minimize latency.
We will focus special attention on the architectural patterns used in the design of the fintech system, microservices and event-driven architecture, which ensure scalability, fault tolerance, and consistency of the entire system.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
"Scaling RAG Applications to serve millions of users", Kevin Goedecke
How we managed to grow and scale a RAG application from zero to thousands of users in 7 months. Lessons from technical challenges around managing high load for LLMs, RAGs and Vector databases.
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