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Achieve data resilience using Amazon OpenSearch Service disaster recovery with snapshot and restore

AWS Big Data

Disaster recovery is vital for organizations, offering a proactive strategy to mitigate the impact of unforeseen events like system failures, natural disasters, or cyberattacks. This post focuses on introducing an active-passive approach using a snapshot and restore strategy.

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Take manual snapshots and restore in a different domain spanning across various Regions and accounts in Amazon OpenSearch Service

AWS Big Data

Snapshots are crucial for data backup and disaster recovery in Amazon OpenSearch Service. These snapshots allow you to generate backups of your domain indexes and cluster state at specific moments and save them in a reliable storage location such as Amazon Simple Storage Service (Amazon S3). Snapshots are not instantaneous.

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Unleash the power of Snapshot Management to take automated snapshots using Amazon OpenSearch Service

AWS Big Data

in Amazon OpenSearch Service , we introduced Snapshot Management , which automates the process of taking snapshots of your domain. Snapshot Management helps you create point-in-time backups of your domain using OpenSearch Dashboards, including both data and configuration settings (for visualizations and dashboards).

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Amazon OpenSearch Service Under the Hood : OpenSearch Optimized Instances(OR1)

AWS Big Data

This makes sure that in the event of a cluster-manager quorum loss, which is a common failure mode in non-dedicated cluster-manager setups, OpenSearch can reliably recover the last acknowledged metadata. In the event of an infrastructure failure, an OpenSearch domain can end up losing one or more nodes.

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Implement disaster recovery with Amazon Redshift

AWS Big Data

The objective of a disaster recovery plan is to reduce disruption by enabling quick recovery in the event of a disaster that leads to system failure. With built-in features such as automated snapshots and cross-Region replication, you can enhance your disaster resilience with Amazon Redshift.

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A Look Ahead at the Gartner Data & Analytics Summit

Cloudera

As we enter into a new month, the Cloudera team is getting ready to head off to the Gartner Data & Analytics Summit in Orlando, Florida for one of the most important events of the year for Chief Data Analytics Officers (CDAOs) and the field of data and analytics.

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Break data silos and stream your CDC data with Amazon Redshift streaming and Amazon MSK

AWS Big Data

Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications. This solution uses Amazon Aurora MySQL hosting the example database salesdb.