Category: Amazon OpenSearch Service

This post demonstrates how to use Terraform to create, deploy, and clean up OpenSearch Serverless infrastructure.. Amazon OpenSearch Serverless provides the search and analytical functionality of OpenSearch without the manual overhead of configuring, managing, and scaling OpenSearch clusters. It automatically scales the resources based on your workload, and you only pay for the resources consumed. Managing OpenSearch Serverless is simple, but with infrastructure as code (IaC) software like Terraform, you can simplify your resource management even more.

Amazon OpenSearch Serverless is a serverless deployment option for Amazon OpenSearch Service that makes it simple for you to run search and analytics workloads without having to think about infrastructure management. The compute capacity used for data ingestion, and search and query in OpenSearch Serverless is measured in OpenSearch Compute Units (OCUs). Customers can configure […]

Amazon Security Lake centralizes access and management of your security data by aggregating security event logs from AWS environments, other cloud providers, on premise infrastructure, and other software as a service (SaaS) solutions. By converting logs and events using Open Cybersecurity Schema Framework, an open standard for storing security events in a common and shareable format, […]

Since its release in January 2021, the OpenSearch project has released 14 versions through June 2023. Amazon OpenSearch Service supports the latest versions of OpenSearch up to version 2.7. OpenSearch Service provides two configuration options to deploy and operate OpenSearch at scale in the cloud. With OpenSearch Service managed domains, you specify a hardware configuration […]

In this post, we explore how to deploy Amazon CloudWatch metrics using an AWS CloudFormation template to monitor an OpenSearch Service domain’s storage and shard skew, as well as shard sizes. This solution uses an AWS Lambda function to extract storage and shard distribution metadata from your OpenSearch Service domain, calculates the level of skew and shard sizes, and then pushes this information to CloudWatch metrics so that you can easily monitor, alert, and respond. This information will help you to meet the recommended settings for read and write throughput, performance, and fault tolerance.

Amazon OpenSearch Service has long supported both lexical and vector search, since the introduction of its kNN plugin in 2020. With recent developments in generative AI, including AWS’s launch of Amazon Bedrock earlier in 2023, you can now use Amazon Bedrock-hosted models in conjunction with the vector database capabilities of OpenSearch Service, allowing you to implement semantic search, retrieval augmented generation (RAG), recommendation engines, and rich media search based on high-quality vector search. The recent launch of the vector engine for Amazon OpenSearch Serverless makes it even easier to deploy such solutions.

We recently announced new enhancements to Amazon OpenSearch Serverless that can scan and search source data sizes of up to 6 TB. At launch, OpenSearch Serverless supported searching one or more indexes within a collection, with the total combined size of up to 1 TB. With the support for 6 TB source data, you can now scale up your log analytics, machine learning applications, and ecommerce data more effectively. With OpenSearch Serverless, you can enjoy the benefits of these expanded limits without having to worry about sizing, monitoring your usage, or manually scaling an OpenSearch domain.

Modern applications apply security controls across many systems and their subsystems. Keeping all of these systems in sync would be a major undertaking if you tried to implement it separately. Centralized identity management is the way to maintain a single identity provider (IdP) that can authenticate actors and manage and distribute their rights. OpenSearch is […]

This post was co-written by Sheel Saket, Senior Data Science Manager at FIS, and Rupesh Tiwari, Senior Architect at Amazon Web Services. Do you ever find yourself grappling with multiple defect logging mechanisms, scattered project management tools, and fragmented software development platforms? Have you experienced the frustration of lacking a unified view, hindering your ability […]

We are pleased to announce the preview release of the vector engine for Amazon OpenSearch Serverless. The vector engine provides a simple, scalable, and high-performing similarity search capability in Amazon OpenSearch Serverless that makes it easy for you to build modern machine learning (ML) augmented search experiences and generative artificial intelligence (AI) applications without having […]