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Managing Data Corruption in the Cloud
Learn how MongoDB Atlas detects and repairs silent data corruption on a global scale.
Our platform currently stores petabytes of data and operates nearly half a million virtual machines in cloud datacenters in dozens of countries; even random failures with odds as low as one in a hundred thousand become likely to appear in such an environment. Internal-facing functionality for repairing Atlas clusters has existed since the early days of the platform, but in recent years we have added additional features and levels of control to facilitate corruption remediation. With these systems in place it is our intention to make silent data corruption yet another detail of hardware management that the customers of Atlas don’t need to lose any sleep over, no matter what kinds of rare failures may occur.
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