Systems @Scale 2018 recap
This post is a recap of the first-ever Systems @Scale conference, featuring talks on managing large-scale information systems. Key contributions include Jay Parikh's keynote on Facebook's speed and scale improvements, Doug Terry's talk on DynamoDB Global Tables geo-replication, Facebook engineers' discussion on systemd for containers and composable services, Shopify's approach to Kubernetes application migrations for stateful applications, Liz Fong-Jones's insights on improving debugging strategies for faster outage resolution, Facebook engineers' presentation on Location-Aware Distribution (LAD) for data distribution, Lyft's adoption of Envoy for service mesh, Oath's modernization of Yahoo Mail, Facebook's Web@FB continuous and reliable release process, and Facebook's vision for a global shared fleet for Compute-as-a-Service.
More from the Scalability and Large-Scale Systems Engineering trail
- Open-Sourcing Rebalancer: A Generic, High-Performance Library for Solving Assignment Problems
- ZGateway: Learnings from Putting a Proxy in Front of ZippyDB
- MTIA 300: Meta’s First Training Chip with Built-in NICs and Communication-Offloading Engines
- From User Sequences to Scaling Laws: A Multi-Stage Architecture for Meta’s Ads Ranking
- GEM Training: How Meta Doubled the Efficiency of Its LLM-Scale Ads Foundation Model