Video Description
Scaling up and out - and back down again - at a moment’s notice is essential for many large scale applications today. Scaling and performance at scale doesn’t have to be a nightmare, this collection covers concrete ways to ensure your distributed architecture is resilient, robust, and able to seamlessly interact with databases, APIs, and customers.
Table of Contents
- MEAN Architecture 2.0 - Scott Davis (ThirstyHead.com) - Part 1 00:45:42
- MEAN Architecture 2.0 - Scott Davis (ThirstyHead.com) - Part 2 00:49:22
- Road traffic analysis and agile architectures - Kristoffer Dyrkorn (BEKK Consulting) - Part 1 00:39:37
- Road traffic analysis and agile architectures - Kristoffer Dyrkorn (BEKK Consulting) - Part 2 00:48:44
- Consistent hashing, shuffle sharding, and copysets: Practical tools for controlling failure - Wes Chow (Chartbeat) 00:53:03
- It probably works: Deploying probabilistic algorithms on a large scale - Tyler McMullen (Fastly) 00:45:51
- Beyond multitenancy: Introducing a new container-based application factory - Thierry Delprat (Nuxeo) 00:47:13
- How to have your causality and wall clocks too - Jon Moore (Comcast Cable) 00:54:17
- Leading simplicity - Sam Lambert (GitHub) 00:39:26
- Apache Kafka and the stream data platform - Jay Kreps (Confluent) 00:49:25
- Enhancing society with APIs at the New York Times - Scott Feinberg (The New York Times Company) 00:41:11
- Building better distributed data pipelines - Patrick McFadin (DataStax) 00:53:52