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

AWS Big Data

This post focuses on introducing an active-passive approach using a snapshot and restore strategy. Snapshot and restore in OpenSearch Service The snapshot and restore strategy in OpenSearch Service involves creating point-in-time backups, known as snapshots , of your OpenSearch domain.

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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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Achieve near real time operational analytics using Amazon Aurora PostgreSQL zero-ETL integration with Amazon Redshift

AWS Big Data

xlplus) with at least two nodes, or Redshift Serverless Encrypted (if using a provisioned cluster) For this post, we create and configure a Redshift Serverless workgroup and namespace as the target data warehouse, following these steps: On the Amazon Redshift console, choose Serverless dashboard in the navigation pane.

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Getting started guide for near-real time operational analytics using Amazon Aurora zero-ETL integration with Amazon Redshift

AWS Big Data

You can perform real-time transaction processing on data in Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. The following diagram illustrates this architecture. Choose Create preview workgroup. For Workgroup name , enter zero-etl-target-rs-wg. Choose Create policy.

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Unlock insights on Amazon RDS for MySQL data with zero-ETL integration to Amazon Redshift

AWS Big Data

You can continue with your transaction processing on Amazon RDS or Amazon Aurora while simultaneously using Amazon Redshift for analytics workloads such as reporting and dashboards. The following diagram illustrates this architecture. At the top of you console window, you will see a Try new Amazon Redshift features in preview banner.