BT
Older rss
50:21

Scaling Counting Infrastructure @Quora

Posted by Chun-Ho Hung  on  Jan 22, 2017 Posted by Chun-Ho Hung Nikhil Garg  on  Jan 22, 2017

Chun-Ho Hung and Nikhil Garg discuss Quanta, Quora's counting system powering their high-volume near-real-time analytics, describing the architecture, design goals, constraints, and choices made.

44:50

Kanban Metrics in Practice

Posted by Mattia Battiston  on  Jan 17, 2017 Posted by Mattia Battiston  on  Jan 17, 2017

Mattia Battiston shares from his experience at Sky Network: what metrics they use, how they use them, what pitfalls they encountered and what little data they collect to get a whole lot of value.

50:13

Scaling Quality on Quora Using Machine Learning

Posted by Nikhil Garg  on  Jan 15, 2017 Posted by Nikhil Garg  on  Jan 15, 2017

Nikhil Garg talks about the various Machine Learning problems that are important for Quora to solve in order to keep the quality high at such a massive scale.

42:06

Iterative Design for Data Science Projects

Posted by Bo Peng  on  Jan 15, 2017 Posted by Bo Peng  on  Jan 15, 2017

Bo Peng goes over how Datascope iterated on the major pieces of the Expert Finder application project to produce actionable insights and recommendations on methodologies.

37:22

Instant and Personal: Searching Your Network at LinkedIn

Posted by Shakhina Pulatova  on  Dec 28, 2016 Posted by Shakhina Pulatova  on  Dec 28, 2016

Shakhina Pulatova overviews the Instant Search experience at LinkedIn and how they use Machine Learning to deliver personalized results as the query is typed.

41:02

Scaling Dropbox

Posted by Preslav Le  on  Dec 20, 2016 Posted by Preslav Le  on  Dec 20, 2016

Preslav Le talks about how Dropbox’s infrastructure evolved over the years, how it looks today, as well the challenges and lessons learned on the way.

52:53

Twitch Plays Pokémon: Twitch's Chat Architecture

Posted by John Rizzo  on  Dec 20, 2016 Posted by John Rizzo  on  Dec 20, 2016

John Rizzo introduces Twitch's chat's architecture, telling how their engineers investigated and worked through the issues in what turned out to be a make-or-break situation for the company.

40:36

Stranger Things: The Forces that Disrupt Netflix

Posted by Haley Tucker  on  Dec 15, 2016 Posted by Haley Tucker  on  Dec 15, 2016

Haley Tucker discusses how other systems may affect Netflix' services, strategies to protect their systems and make sure they won't fail even if things go wrong.

50:54

What Comes after Microservices?

Posted by Matt Ranney  on  Dec 13, 2016 1 Posted by Matt Ranney  on  Dec 13, 2016 1

Matt Ranney talks about the limits that some companies have encountered in their large microservices deployments and some non-microservices approaches to those same problems.

49:53

How Slack Works

Posted by Keith Adams  on  Dec 09, 2016 Posted by Keith Adams  on  Dec 09, 2016

Keith Adams tours Slack's infrastructure from clients into the Slack datacenter, and around the various services that provide real-time messaging, search, voice calls, and custom emoji.

53:13

Mastering Chaos - A Netflix Guide to Microservices

Posted by Josh Evans  on  Dec 07, 2016 Posted by Josh Evans  on  Dec 07, 2016

Josh Evans talks about the chaotic and vibrant world of microservices at Netflix, exploring the cultural, architectural, and operational methods that lead to microservice mastery.

39:00

ETL Is Dead, Long Live Streams

Posted by Neha Narkhede  on  Dec 06, 2016 1 Posted by Neha Narkhede  on  Dec 06, 2016 1

Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.

General Feedback
Bugs
Advertising
Editorial
Marketing
InfoQ.com and all content copyright © 2006-2016 C4Media Inc. InfoQ.com hosted at Contegix, the best ISP we've ever worked with.
Privacy policy
BT

We notice you're using an ad blocker

We understand why you use ad blockers. However to keep InfoQ free we need your support. InfoQ will not provide your data to third parties without individual opt-in consent. We only work with advertisers relevant to our readers. Please consider whitelisting us.