Category: Amazon OpenSearch Service

Today we announced support for three new features for Amazon OpenSearch Serverless: Point in Time (PIT) search, which enables you to maintain stable sorting for deep pagination in the presence of updates, and PPL and SQL, which give you new ways to query your data. In this post, we discuss the benefits of these new features and how to get started.

In this post, we show you how to manage user access to enterprise documents in generative AI-powered tools according to the access you assign to each persona. This post illustrates how to build a document search RAG solution that makes sure only authorized users can access and interact with specific documents based on their roles, departments, and other relevant attributes. It combines OpenSearch Service and Amazon Cognito custom attributes to make a tag-based access control mechanism that makes it straightforward to manage at scale.

In this post, we show how to use Amazon Kinesis Data Streams to buffer and aggregate real-time streaming data for delivery into Amazon OpenSearch Service domains and collections using Amazon OpenSearch Ingestion. You can use this approach for a variety of use cases, from real-time log analytics to integrating application messaging data for real-time search. In this post, we focus on the use case for centralizing log aggregation for an organization that has a compliance need to archive and retain its log data.

This post focuses on introducing an active-passive approach using a snapshot and restore strategy. The snapshot and restore strategy in OpenSearch Service involves creating point-in-time backups, known as snapshots, of your OpenSearch domain. These snapshots capture the entire state of the domain, including indexes, mappings, and settings. In the event of data loss or system failure, these snapshots will be used to restore the domain to a specific point in time. The post walks through the steps to set up this disaster recovery solution, including launching OpenSearch Service domains in primary and secondary regions, configuring snapshot repositories, restoring snapshots, and failing over/failing back between the regions.

Today, we’re announcing timelines for end of Standard Support and Extended Support for legacy Elasticsearch versions up to 6.7, Elasticsearch versions 7.1 through 7.8, OpenSearch versions from 1.0 through 1.2, and OpenSearch versions 2.3 through 2.9 available on Amazon OpenSearch Service.

Amazon OpenSearch Service launches a modernized operational analytics experience that can provide comprehensive observability spanning multiple data sources, so that you can gain insights from OpenSearch and other integrated data sources in one place. The launch also introduces OpenSearch Workspaces that provides tailored experience for popular use cases and supports access control, so that you can create a private space for your use case and share it only to your collaborators.

Today, we are announcing dedicated coordinator nodes for Amazon OpenSearch Service domains deployed on managed clusters. When you use Amazon OpenSearch Service to create OpenSearch domains, the data nodes serve dual roles of coordinating data-related requests like indexing requests, and search requests, and of doing the work of processing the requests – indexing documents and […]

OpenSearch Service stores different types of stored objects, such as dashboards, visualizations, alerts, security roles, index templates, and more, within the domain. As your user base and number of Amazon OpenSearch Service domains grow, tracking activities and changes to those saved objects becomes increasingly difficult. In this post, we present a solution to deploy stored objects using GitHub and Jenkins while preventing users making direct changes into OpenSearch Service domain

In this post, we’ll explore Infor’s journey to modernize its search capabilities, the key benefits they achieved, and the technologies that powered this transformation. We’ll also discuss how Infor’s customers are now able to more effectively search through business messages, documents, and other critical data within the ION OneView platform.

In this post, we share the journey of a multi-national financial credit reporting company, including the hurdles they faced, and why they went with Amazon OpenSearch Ingestion pipelines to make their log management smoother.