Tips for backing up, disaster recovery, and protecting big data from force majeure and cyberattacks.
The value of data as a resource is constantly increasing, especially in digital business transformation. Data is the foundation of all applications and services, including IoT, artificial intelligence, and machine learning.
How to store and restore big data
The growth of data volumes requires the development of strategies for storage, backup, and recovery. The most critical parameters of any backup and disaster recovery plan are Recovery Point and Recovery Time Objectives. RPO and RTO define the allowable loss of data and the allowable recovery time.
The RPO parameter is critical. RPO stands for the point at which backups are made. The data should not be significantly out of date since the last backup; it should remain as up-to-date as possible. For example, you might be backing up daily, copying your data every few hours, or replicating it continuously.
The data protection strategy depends on their values. RTO is the time from failure to full recovery of the system. RTO is when business processes associated with failed systems are idle. RPO and RTO determine how much data loss is acceptable and how long services may be unavailable.
To reduce the risk of data loss, it is necessary to use a high-availability storage system, place several storage systems at remote sites from each other, use snapshots and/or deploy backup/recovery systems.
Storage Reliability
Highly reliable storage reduces the risk of data loss to a minimum. For example, multi-controller storage systems are capable of withstanding multiple controller failures. To increase reliability up to "five nines" (99.999%), storage system components are redundant: drives, controllers, interfaces, power supplies, and memory modules.
In highly reliable systems, almost all components are duplicated; therefore, no matter what goes wrong in such a storage system, all its functionality will work. The more "nines", the less downtime.
Disaster recovery and disaster recovery
The system's fault tolerance allows you to continue the execution of tasks in the event of a failure of any of its components. However, disaster recovery will be required if an entire data center fails due to a power failure, fire, or natural disaster. In this case, one storage system will not be able to protect the data, and a higher level is needed.
You can protect yourself from such situations by placing several storage systems in different data centers and maintaining the consistency of copies on two or more storage systems by regularly copying data using replication. As a result, the risks of data loss are minimized.
Read more about securing your data & Bitcoin investments and securing yourself from the scammers.
