Database definition

What is Data Resilience? – Definition from Techopedia

What does data resilience mean?

Data resilience is the ability of an organization to ensure business continuity despite any unexpected disruption. It uses an automated approach that standardizes data protection and provides centralized visibility and management across all workloads and locations. When data is resilient, it cannot be accessed or modified by unauthorized entities.

Data resilience includes encryption of all backups, whether in transit or at rest, using military-grade encryption (AES) and supports the 3-2-1 backup rule. In a 3-2-1 approach, each backup should have at least three versions. Two of the backups are stored on different types of media and at least one copy must be separate from the main production environment.

The best data resilience platforms today are cloud-native and capable of protecting data assets no matter where they reside geographically. The benefits of data resiliency in the cloud include:

  • Standardized data protection across all workloads and environments.
  • A left-shifted approach to security in primary and backup environments.
  • Accelerated recovery and restoration times.

Techopedia Explains Data Resilience

Businesses need to be able to protect and manage data assets no matter where they are stored, and it is important to protect backed up data from malicious activity, accidental deletion, and damage from internal forces or external.

Data resiliency software can respond to red flag alerts autonomously and in the event of data loss or corruption and can get a business back online in minutes with minimal disruption.

The Four Principles of Data Resilience

While cloud adoption has created new opportunities for businesses, it has also revealed how difficult it can be to protect distributed data with legacy backup systems designed for another era. To add to the problem, many information technology (IT) teams today are understaffed, a situation that has been compounded by a global shortage of cybersecurity talent.

Maintaining data resiliency internally requires special skills, which is why so many companies are migrating to a maintenance-free Software as a Service (SaaS) approach that supports four important principles:

1. Composable infrastructure – allows an organization to scale compute, network, and storage resources as needed. An infrastructure as a service (IaaS) approach uses application programming interfaces (APIs) to continuously monitor data assets and proactively resolve issues in the data infrastructure. The cloud gives IT administrators and business owners easy access to the latest technologies without requiring additional staff to manage them.

2. Global Policies – enables an organization to follow data management best practices holistically across all environments. When policies are global, it ensures that an organization’s data resiliency standards are met across the entire environment, while requiring those policies to be managed in one place.

3. Self-service with centralized supervision – allows an organization to delegate certain responsibilities for maintaining data resilience to application and data owners, while providing IT protection administrators with centralized control. Central monitoring is necessary to ensure that the organization and its data will always be protected.

4. Prescriptive Analytics – Data Resilience Platforms are able to analyze billions of data points and events in real time across multiple environments and provide intelligent insights on how to optimize protection, reduce costs and recover. protect against ransomware. Prescriptive analytics can predict problems and provide recommendations on how to prevent failures before they happen.

The Role of Object Storage in Data Resilience

When data is resilient, it cannot be altered by internal or external threats. Because cloud-based platforms use object storage, administrators can apply unique access policies at the object, bucket, and user/group levels. Although it is possible to add or remove a storage object, it is not possible to modify the data once it is stored in an object.

This is important because backup systems that use file system storage are vulnerable to a wider variety of legacy and zero-day exploits, including Business Email Compromise (BEC) and ransomware-as-a attacks. -service (RaaS).