dotScale 2017 - Andrew Shafer - Deep DevOps - Learning to learn
dotScale 2017 - Aish Raj Dahal - Chaos management during a major incident
dotScale 2017 - Adrian Cole - Observability 3 ways: Logging, Metrics & Tracing
dotScale 2017 - Mitchell Hashimoto - Scaling Security
Trip report: dotScale 2017 in Paris
dotScale 2017 - Clay Smith - Searching for the Server in Serverless
dotScale 2017 - Omar Qunsul - Adding Graphs to Redis
dotScale 2017 - Eran Chetzroni - Use Multiple Cloud Platforms to Increase Profit
dotScale 2017 - Neha Narkhede - The Rise of Real-Time
dotScale 2017 - James Cammarata - Watomation
dotScale 2017 - David Mazières - Internet-level consensus is practical
dotScale 2017 - Marco Slot - Scaling out (Postgre)SQL
dotScale 2017 - Ulf Adams - Build and Test Performance at Scale
dotScale 2017 - Pierre Chapuis - A short introduction to Interval Tree Clocks
dotScale 2016 - Benjamin Fernandes - Monitoring 101: How To Monitor at Scale
dotScale 2018 - Willy Tarreau - Observability tips with HAProxy
dotScale 2018 - Mike Freedman - Three heretical opinions about the future of time-series data
dotScale 2018 - Paul Dix - At scale, everything is hard
dotScale 2016 - Mickaël Rémond - Building Scalable Systems: what you can learn from Erlang
dotScale 2016 - Fabien Potencier - Monolith repositories vs many repositories
