#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication…
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#Uber’s HiveSync team optimized Hadoop Distcp for multi-petabyte replication across hybrid cloud and on-prem data lakes.
✅ Task parallelization ✅ Uber jobs for small transfers ✅ Improved observability
Result: 5× replication capacity & seamless on-prem-to-cloud migration.
Read more: https://bit.ly/4bwUUFt
#InfoQ #SoftwareArchitecture #DistributedSystems #Observability #DataLake
Hybrid Cloud Data at Uber: How Engineers Solved Extreme-Scale Replication Challenges
Uber’s HiveSync team optimized Hadoop Distcp to handle multi-petabyte replication across hybrid cloud and on-premise data lakes. Enhancements include task parallelization, Uber jobs for small transfers, and improved observability, enabling 5x replication capacity and seamless on-premise-to-cloud migration.
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