Systems @Scale Winter 2021
2021-12-08..2021-12-15
-- online --
[Systems @Scale Spring 2021, Systems @Scale Summer 2021, Systems @Scale Fall 2021, Systems @Scale Winter 2021, Systems @Scale Summer 2022, Systems @Scale Winter 2022, Systems @Scale Summer 2023, Systems @Scale 2024]
| title | author | length |
|---|---|---|
| Scheduled Deletions At Scale | Sneha Padgalwar | 17m |
Meta builds a Schedule Deletion system that computes TTLs with a decision engine whose outputs are delete immediately / cancel / reschedule, logs trillions of… | ||
| LogDevice At Scale | Miroslav Crnic, Nick Sukhanov | 21m |
Meta runs LogDevice at roughly nine exabytes per month and uses Flexible Paxos with 3x replication for durability. A leader-side mechanism writes a special… | ||
| Efficient Large-Scale Language Model Training on GPU Clusters Using Megatron-LM | Jared Casper | 24m |
Describes training a 530B-parameter transformer on a DGX SuperPOD with over 3,072 A100 GPUs using Megatron-LM + DeepSpeed, achieving 502 petaFLOP/s on a… | ||
| SLICK: Driving SLO Culture | Dávid Bartók, Filip Klepo | 18m |
Meta builds SLICK as a central SLO tracking platform that indexes SLIs/SLOs, stores selected SLI time series for two years of full granularity, and exposes a… | ||
| Software and Hardware Remediations | Antonio Davoli, Leandro Silva | 20m |
Fleet runs more than 5 million software remediations per day and about 5k hardware remediations per day. Detection uses a local agent plus on‑demand remote… | ||
| Week 1 Q&A | Sajal Jain | 13m |
Systems @Scale Winter 2021 Week 1 Q&A - Moderated by Sajal Jain
Featuring Miroslav Crnic, Nick Sukhanov & Sneha Padgalwar | ||
| Week 2 Q&A | Ahmad Mamdouh Abdou | 23m |
Live Q&A covers operational specifics: SLO tooling (Slick) supports configurable alerting, auto-generated availability/latency SLOs, MySQL+Hive storage, batch… | ||
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