Almost every service has critical data somewhere, whether it’s large-scale blob storage or minimalistic index tables or just the service’s own production configuration. The data’s sizes and shapes and storage technologies vary widely, yet the possibilities for data loss remain, and the same obstacles to recovery consistently appear.
Kristina Bennett shares best practices that can prepare a service for practical data recoveries, highlights some of the hidden dangers waiting to ambush a recovery attempt, and examines some of the risk-cost trade-offs that inevitably dominate data integrity coverage, based on lessons learned from five years of data integrity tooling and consulting across Google.
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