Data rescue 4 manual1/11/2024 ![]() There are two important industry terms that you must understand and define for your team: This article discusses common disaster recovery terminology, common solutions, and some best practices for disaster recovery plans with Databricks. In contrast, a disaster recovery plan requires decisions and solutions that work for your specific organization to handle a larger regional outage for critical systems. High availability does not require significant explicit preparation from the Databricks customer. For example, cloud services like AWS have high-availability services such as Amazon S3. High availability is implemented in place (in the same region as your primary system) by designing it as a feature of the primary system. High availability ensures a minimum level of operational performance that is usually defined in terms of consistent uptime or percentage of uptime. High availability is a resiliency characteristic of a system. However, cloud region failures can happen, and the degree of disruption and its impact on your organization can vary.īefore implementing a disaster recovery plan, it’s important to understand the difference between disaster recovery (DR) and high availability (HA). ![]() For example, a region is a group of buildings connected to different power sources to guarantee that a single power loss will not shut down a region. A large cloud service like AWS serves many customers and has built-in guards against a single failure.
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