As we all know, data today is much more valuable than what oil was in the 80's. Although backup and disaster recovery sound simple, executing them the right way requires expertise to add proper governance, security, compression, tagging, referential ability, data integrity, de duplication, versioning, and most importantly an automated mechanism to restore the required data set in event of disasters. On top of these, the key factor that often comes as a challenge while backing up or restoring large data volumes is the bandwidth bottleneck. Vast Edge resolves most of these challenges with embedded features to provide enterprise grade and simple to use multi cloud backup tools. These simple to use tools empower you to recover your data in event of data loss or in situations where your data has been corrupted or infected by malware.
Here's a document that provides strategy and reference architectures for disaster recovery covering some key steps such as defining, scheduling, executing, confirming, monitoring, and validating data integrity. There are some other steps that are executed as part of the execution process that include splitting larger files to continue backups in event of connectivity failures, compressing data to increase speed, and encryption for compliance and security.
Tagging to categorize and version data has become increasingly important and helps reduce risk and efforts required while restoring. As an example, tagging meta data would include app name, date and time, data type - production/dev/test, OS/Web/DB versions, instance names, and incremental/complete data sets. Vast Edge has embedded several of these key features to provide enterprise grade and simple to use backup tools.
Here are some research statistics published by Gartner
Vast Edge backup differentiators
Vast Edge has solved this Backup and recovery challenge by providing innovative, simple and automated tools for manage the data from a unified dashboard. This centralized dashboard provides modules to upload/ download data to/from multi cloud repositories and servers. As an example, customers can now easily manage various versions of datasets and work with any version whenever required in case of data corruption, loss, or malware infection. Our automated backup and failover tools provide customers to keep their data records in the cloud and process them with centrally managed dashboard