Concurrency vs Parallelism by Narendran R - Product Engineer, Mad Street Den
Tasks can be made embarrassingly parallel by crunching up the resources and using all CPU cores. What if your resources are limited? How do we achieve the speed in execution of tasks? In this talk he will discuss about achieving near parallelism using Python 3 with limited resources, but at the same time knowing concurrency is not parallelism by going through real-world examples.
Probabilistic Data Structures in Redis by Srinivasan Rangarajan - Head of Engineering, Mad Street Den
There are two ways to solve any problem: Accurately or approximately. Accurate data structures has its disadvantages – too much memory usage and non-scalable for real-time nature of data. Probabilistic data structures can get you similar results, but use up significantly less memory.In this talk he will show how to take advantage of the newly release Redis 4.0 with pluggable modules to build a data pipeline which uses probabilistic data structures to get real-time insights.
Rendering at Scale with Chrome Remote Debugging Protocol by GP - Prinicipal Engineer, Indix
Learn how to render webpages at scale using Chrome's shiniest & newest feature - remote debugging protocol. This session walks you through the current solutions (PhantomJS, Puppeteer, Rendertron) & the real-world challenges you'd face with those at scale; and shows you how we overcame those at Indix.
• 10.00am to 10.45am Concurrency vs Parallelism
• 10.45am to 11.30am Probabilistic Data Structures in Redis
• 11.30am to 12.15pm Rendering at Scale with Chrome Remote Debugging Protocol
This is a free event. Please arrive a bit early so that you don't get delayed at the security gate.
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