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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