dotScale 2016 - Ted Dunning - IT from First Principles
A day at dotScale 2016
dotScale 2016 - Gleb Budman - A Peek Behind The Cloud
dotScale 2016 - Oliver Keeble - Planetary Computing at the Large Hadron Collider
Trip report: dotScale conference 2016 in Paris
dotScale 2016 - Juan Benet - IPFS: Distributed Web Apps
dotScale 2016 - Mickaël Rémond - Building Scalable Systems: what you can learn from Erlang
dotScale 2016 - Fabien Potencier - Monolith repositories vs many repositories
dotScale 2016 - Benjamin Fernandes - Monitoring 101: How To Monitor at Scale
dotScale 2016 - Sean Owen - Scaling Learning on Apache Spark
dotScale 2016 - Eliot Horowitz - The Case for Cross-Service Joins
dotScale 2015 - John Graham-Cumming - I got 10 trillion problems, but logging ain't one
dotScale 2016 - Spencer Kimball - Distributed Transactions in CockroachDB
dotScale 2016 - Vasia Kalavri - Demystifying Distributed Graph Processing
dotScale 2016 - Dan Brown - Convergent Replicated Data Types, Part 2
dotScale 2017 - Neha Narkhede - The Rise of Real-Time
dotScale 2018 - Marc Shapiro - Just-Right Consistency
dotScale 2017 - Andrew Shafer - Deep DevOps - Learning to learn
dotScale 2015 - Paul Dix - Time series data the worst and best use case in distributed databases
dotScale 2015 - Matt Bostock - Coordinating unattended reboots using a distributed mutex
dotScale 2015 - John Wilkes - Cluster management at Google with Borg
dotScale 2015 - Sam Bessalah - Your system is distributed, like it or not!
dotScale 2018 - Paul Dix - At scale, everything is hard
dotScale 2015 - Ben Firshman - How to use an Internet-sized computer
dotScale 2015 - Simon Riggs - Databases The Long View
