Accelerated migration process by 300%
It is a software company that provides an IaaS platform for resource sharing, data governance, and real-time & predictive analytics for enterprises. They have global customer reach in different industries
Built an efficient and scalable data ingestion pipeline to move 100s of TBs of files, for 1000s of concurrent users supporting a mix of clients- Windows, Mac, and Linux.There was huge data in several TBs with thousands of user authorizations with different permissions, on varied platforms- Windows, Mac, and Linux. The solution was required to be available 24x7 and accordingly optimized to onboard their customers in the least time possible. It uses GCP compute services and data is stored both on GCP cloud storage and private storage. The client was OS-dependent and the server was based on scalable GCP clusters utilizing GCIS, Dockers, Pub/sub, Kubernetes, etc. Along with active data, archival data that was spread unorganized across multiple locations globally was migrated.
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