Category: Amazon OpenSearch Service

Unsupervised machine learning analytics has emerged as a powerful tool for anomaly detection in today’s data-rich landscape, especially with the growing volume of machine-generated data. In-stream anomaly detection offers real-time insights into data anomalies, enabling proactive response. Amazon OpenSearch Serverless focuses on delivering seamless scalability and management of search workloads; Amazon OpenSearch Ingestion complements this […]

Organizations often need to manage a high volume of data that is growing at an extraordinary rate. At the same time, they need to optimize operational costs to unlock the value of this data for timely insights and do so with a consistent performance. With this massive data growth, data proliferation across your data stores, […]

Today, we are launching Terraform support for Amazon OpenSearch Ingestion. Terraform is an infrastructure as code (IaC) tool that helps you build, deploy, and manage cloud resources efficiently. OpenSearch Ingestion is a fully managed, serverless data collector that delivers real-time log, metric, and trace data to Amazon OpenSearch Service domains and Amazon OpenSearch Serverless collections. […]

Amazon OpenSearch Serverless is an on-demand auto scaling configuration for Amazon OpenSearch Service. Since its release, the interest for OpenSearch Serverless had been steadily growing. Customers prefer to let the service manage its capacity automatically rather than having to manually provision capacity. Until now, customers have had to rely on using custom code or third-party […]

In this post, we explore the process of integrating Amazon Keyspaces and Amazon OpenSearch Service using AWS Lambda and Amazon OpenSearch Ingestion to enable advanced search capabilities. The content includes a reference architecture, a step-by-step guide on infrastructure setup, sample code for implementing the solution within a use case, and an AWS Cloud Development Kit (AWS CDK) application for deployment.

Amazon OpenSearch Service is a fully managed search and analytics service powered by the Apache Lucene search library that can be operated within a virtual private cloud (VPC). A VPC is a virtual network that’s dedicated to your AWS account. It’s logically isolated from other virtual networks in the AWS Cloud. Placing an OpenSearch Service […]

Amazon OpenSearch Service offers multiple domain configuration settings to meet your workload-specific requirements. As part of standard service operations, you may be required to update these configuration settings on a regular basis. Recently, Amazon OpenSearch Service launched visibility improvements that allow you to track configuration changes more effectively. We’ve introduced granular and more descriptive configuration […]

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 […]