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Enhancing Data Protection and Recovery: What Is Operationalization and What Are Its Benefits?

Pure Storage

Enhancing Data Protection and Recovery: What Is Operationalization and What Are Its Benefits? Click here to read part on e on eradicating change management outages. Organizational resistance: Changes in operational procedures can face resistance from staff accustomed to traditional methods.

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Ten Years On, Has Excitement Dimmed about the Cloud’s Transformation Power?

Pure Storage

The outdated habits of cloud management—like siloed teams, slow change management, default redundancies, and reactive, patchwork system growth—are big liabilities. The new Pure Storage IT Thought Leadership survey echoes the “what now?”

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IT’s 4 Biggest Risks and How to Build Resilience against Them

Pure Storage

Testing: Perform regular disaster recovery tests to ensure that in the event of downtime or failure, your systems can be restored quickly and efficiently. Major changes involve change management, a company-wide initiative that is never easy. The words “rip and replace” scare most people, and for good reason.

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Don’t Pay the Ransom: Keep Your Data Protected with Auto-on SafeMode

Pure Storage

Moving staging into production to be under your default protection policy is a simple configuration change. . And to provide granular change management to prevent errors at scale, Auto-on SafeMode supports multi-party authentication. Granular control goes beyond volumes. Security shouldn’t require one-size-fits-all compromise.

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How to write a business continuity plan: the easy way

IT Governance BC

Business continuity vs disaster recovery. BCPs shouldn’t be confused with DRPs (disaster recovery plans) , even though they both tackle the immediate aftermath of a disruption. Disaster recovery is a purely corrective measure that looks to recover to full IT functionality as quickly as possible.

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Multi-Cloud Data Protection Best Practices for Cyber Resilience

Solutions Review

Change management is also important to ensure that any changes to the cloud environment are thoroughly tested and validated to prevent security vulnerabilities from materializing in the future. Data security should never be assumed and is never guaranteed.