How do you store, query, and visualize decades of mission-critical time-series data without slowing down? At CERN, over 800 WinCC OA-based SCADA systems generate hundreds of gigabytes of data every day from the Large Hadron Collider’s experiments and critical infrastructure: gas distribution, cryogenics, machine protection, vacuum systems, and more.
In this webinar, engineers from CERN will walk through how they’re modernizing their legacy stack with the NextGen Archiver (NGA) and TimescaleDB (built on PostgreSQL) to meet today’s scale and performance requirements while keeping costs and operational complexity in check.
In this session, you’ll learn how CERN:
Architected a new, pluggable archiving system (NGA) to modernize their legacy stack
Used TimescaleDB’s native compression to cut storage by 95% and speed up queries by up to 40x
Adopted continuous aggregates to power fast, responsive dashboards over massive historical datasets
Designed for long-term maintainability, avoiding vendor lock-in and reducing technical debt
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