High Capacity

Compute &

Storage Clusters

SQL Server-Based

Control &

Scheduling System

• 9 SQL DBs, 8 TB total

• Largest table = 6.5 billion rows

• 5,000+ concurrent connections

• 82,554 TPS (peak)

• 40,000 IOPS (peak)

• >21.5MM individual compute tasks

• Largest Job = 992,272 compute tasks

• 98.6% task success rate

• 2376 servers

• 28,512 cores

• 114 PB storage

• 7.9 billion individual files

• 10+ TB of new data per hour (24/7)

• 198 PB generated in 2.5 years

• Record day: 1.2 PB of new data

• 96% peak storage utilization

• 99%+ uptime, 52%+ utilization