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.
Publisher resources
Table of contents
- MEAN Architecture 2.0 - Scott Davis (ThirstyHead.com) - Part 1
- MEAN Architecture 2.0 - Scott Davis (ThirstyHead.com) - Part 2
- Road traffic analysis and agile architectures - Kristoffer Dyrkorn (BEKK Consulting) - Part 1
- Road traffic analysis and agile architectures - Kristoffer Dyrkorn (BEKK Consulting) - Part 2
- Consistent hashing, shuffle sharding, and copysets: Practical tools for controlling failure - Wes Chow (Chartbeat)
- It probably works: Deploying probabilistic algorithms on a large scale - Tyler McMullen (Fastly)
- Beyond multitenancy: Introducing a new container-based application factory - Thierry Delprat (Nuxeo)
- How to have your causality and wall clocks too - Jon Moore (Comcast Cable)
- Leading simplicity - Sam Lambert (GitHub)
- Apache Kafka and the stream data platform - Jay Kreps (Confluent)
- Enhancing society with APIs at the New York Times - Scott Feinberg (The New York Times Company)
- Building better distributed data pipelines - Patrick McFadin (DataStax)
Product information
- Title: The Distributed Systems Video Collection
- Author(s):
- Release date: July 2016
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491968376
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