Category: Amazon OpenSearch Service

With the launch of the neural search feature for Amazon OpenSearch Service in OpenSearch 2.9, it’s now effortless to integrate with AI/ML models to power semantic search and other use cases. OpenSearch Service has supported both lexical and vector search since the introduction of its k-nearest neighbor (k-NN) feature in 2020; however, configuring semantic search […]

Many organizations, small and large, are working to migrate and modernize their analytics workloads on Amazon Web Services (AWS). There are many reasons for customers to migrate to AWS, but one of the main reasons is the ability to use fully managed services rather than spending time maintaining infrastructure, patching, monitoring, backups, and more. Leadership […]

Amazon OpenSearch Service recently introduced Multi-AZ with Standby, a deployment option designed to provide businesses with enhanced availability and consistent performance for critical workloads. With this feature, managed clusters can achieve 99.99% availability while remaining resilient to zonal infrastructure failures. In this post, we explore how search and indexing works with Multi-AZ with Standby and […]

What users expect from search engines has evolved over the years. Just returning lexically relevant results quickly is no longer enough for most users. Now users seek methods that allow them to get even more relevant results through semantic understanding or even search through image visual similarities instead of textual search of metadata. Amazon OpenSearch […]

We recently announced a new enhancement to OpenSearch Serverless for managing data retention of Time Series collections and Indexes. OpenSearch Serverless for Amazon OpenSearch Service makes it straightforward to run search and analytics workloads without having to think about infrastructure management. With the new automated time-based data deletion feature, you can specify how long they want […]

As the volume and complexity of analytics workloads continue to grow, customers are looking for more efficient and cost-effective ways to ingest and analyse data. Data is stored from online systems such as the databases, CRMs, and marketing systems to data stores such as data lakes on Amazon Simple Storage Service (Amazon S3), data warehouses […]

Amazon OpenSearch Ingestion is a fully managed, serverless pipeline that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and OpenSearch Serverless collections. Customers use Amazon OpenSearch Ingestion pipelines to ingest data from a variety of data sources, both pull-based and push-based. When ingesting data from pull-based sources, such as Amazon Simple […]

In pursuit of a more efficient and customer-centric support system, organizations are deploying cutting-edge generative AI applications. These applications are designed to excel in four critical areas: multi-lingual support, sentiment analysis, personally identifiable information (PII) detection, and conversational search capabilities. Customers worldwide can now engage with the applications in their preferred language, and the applications […]

Amazon OpenSearch Service securely unlocks real-time search, monitoring, and analysis of business and operational data for use cases like application monitoring, log analytics, observability, and website search. In this post, we talk about new configurable dashboards tenant properties. OpenSearch Dashboards tenants in Amazon OpenSearch Service are spaces for saving index patterns, visualizations, dashboards, and other […]

Software upgrades bring new features and better performance, and keep you current with the software provider. However, upgrades for software services can be difficult to complete successfully, especially when you can’t tolerate downtime and when the new version’s APIs introduce breaking changes and deprecation that you must remediate. This post shows you how to upgrade […]