Category: HAQM OpenSearch Service

HAQM OpenSearch Service recently introduced a new Transport Layer Security (TLS) policy Policy-Min-TLS-1-2-PFS-2023-10, which supports the latest TLS 1.3 protocol and TLS 1.2 with Perfect Forward Secrecy (PFS) cipher suites. This new policy improves security and enhances OpenSearch performance. In this post, we discuss the benefits of this new policy and how to enable it using the AWS Command Line Interface (AWS CLI).

As organizations scale their use of OpenSearch Serverless, understanding network architecture and DNS management becomes increasingly important. This post covers advanced deployment scenarios focused on centralized and distributed access patterns—specifically, how enterprises can simplify network connectivity across multiple AWS accounts and extend access to on-premises environments for their OpenSearch Serverless deployments.

In this post, we explore how PackScan uses HAQM cloud-based services to drive real-time visibility, improve logistics efficiency, and support the seamless movement of packages across HAQM’s Middle Mile network.

OpenSearch UI has been adopted by thousands of customers for various use cases since its launch in November 2024. Exciting customer stories and feedback have helped shape our feature improvements. As we complete 6 months since its general availability, we are sharing major enhancements that have improved OpenSearch UI’s capability, especially in observability and security analytics, in this post.

In this blog post, we tell you how we enhanced the snapshot efficiency in HAQM OpenSearch Service while carefully maintaining these critical operational aspects. These snapshot optimizations are enabled for all OpenSearch optimized instance family (OR1, OR2, OM2) domains from version 2.17 onwards.

today we introduced HAQM Q Developer support in OpenSearch Service. With this AI-assisted analysis, both new and experienced users can navigate complex operational data without training, analyze issues, and gain insights in a fraction of the time. In this post, we share how to get started using HAQM Q Developer in OpenSearch Service and explore some of its key capabilities.

With OpenSearch version 2.19, HAQM OpenSearch Service now supports hardware-accelerated enhanced latency and throughput for binary vectors. In this post, we discuss the improvements these advanced processors provide to your OpenSearch workloads, and how it can help you lower your total cost of ownership (TCO).

The AI search flow builder is available in all AWS Regions that support OpenSearch 2.19+ on OpenSearch Service. In this post, we walk through a couple of scenarios to demonstrate the flow builder. First, we’ll enable semantic search on your old keyword-based OpenSearch application without client-side code changes. Next, we’ll create a multi-modal RAG flow, to showcase how you can redefine image discovery within your applications.

Today, we’re launching a new visual interface for OpenSearch Ingestion that makes it simple to create and manage your data pipelines from the AWS Management Console. With this new feature, you can build pipelines in minutes without writing complex configurations manually. In this post, we walk through how these new features work and how you can use them to accelerate your data ingestion projects.

In this blog post, we show you the process of integrating TwelveLabs Embed API with OpenSearch Service to create a multimodal search solution. You’ll learn how to generate rich, contextual embeddings from video content and use OpenSearch Service’s vector database capabilities to enable search functionalities. By the end of this post, you’ll be equipped with the knowledge to implement a system that can transform the way your organization handles and extracts value from video content.