Category: Amazon OpenSearch Service

Coverage and utilization metrics can be misleading and do not always tell the full story when it comes to managing commitments and measuring their impact. Effective Savings Rate (ESR) is an objective FinOps metric that measures your true ROI. In this blog post, we will discuss challenges with coverage and utilization, why ESR is important, benchmarking insights, and automation with ProsperOps.

Learn how Noventiq worked with Cybex Exim to design a solution using Amazon OpenSearch Service that provides a better mobile experience with faster search results. The work enabled Cybex to reduce costs by about 25% while scaling faster and increasing flexibility. Cybex is now able to store more than 1.5TB of data, drive searches with minimum latency of about four seconds for basic search and 6-30 seconds on advanced search, and easily ingest, search, secure, aggregate, and visualize data.

As technology advances and business requirements change, organizations may find themselves needing to migrate away from legacy data processing systems like HBase, Solr, and HBase Indexer. Explore the advantages of migrating from HBase, Solr, and HBase indexer to a modern data ecosystem based on AWS, and dive deep on the discuss architecture, design, and pathways for implementation. This post offers insights and guidance from Rackspace for those looking to embark on this intricate migration journey.

Hyland Software’s Alfresco Content Services 7.3 enables enterprises to deliver open, flexible, and highly scalable solutions by providing capabilities for full-featured enterprise content services. Explore a simplistic deployment to show the ease in which Amazon OpenSearch Service is used with Alfresco Content Services and Alfresco Search Enterprise running in Amazon EKS on AWS Fargate. Production-grade deployments that require high availability and durability can be guided by this post.

We are pleased to announce the launch of the Amazon OpenSearch Service Delivery specialization to help customers find validated AWS Partners with deep technical knowledge, experience, and proven success delivering Amazon OpenSearch Service. Amazon OpenSearch Service is an open source, distributed search and analytics suite that makes it easy for customers to perform interactive log analytics, real-time application monitoring, website search, and more.

Amazon OpenSearch Service is frequently used by SaaS providers to address a broad range of use cases. The use of Amazon OpenSearch Service in a multi-tenant environment, however, introduces a collection of new considerations that will influence how you partition, isolate, deploy, and manage your solution. Explore the strategies and patterns that are used to address these common issues, and look at the specific models used to represent and isolate each tenant’s data with Amazon OpenSearch Service constructs.

For a recent project, NTT DATA Services was asked to architect and design the migration of a customer’s backend search tool used by two of its applications. Both applications were leveraging Elasticsearch for data storage. Learn how NTT DATA used some of the DevOps pillars to implement migrations using an active migration strategy. The goal was to move from individual Elasticsearch instances on Amazon EC2 to a single multi-tenant hosted Elasticsearch solution per region—in this case, Amazon OpenSearch Service.

Many customers operate in a hybrid environment with on-premises infrastructure interconnected with a cloud provider’s infrastructure. This post details how HCLTech used the AWS Centralized Log Management Reference Architecture, and discusses how HCLTech removed the requirements for Amazon Kinesis Data Streams. We also explore how HCLTech used Amazon Kinesis Data Firehose to stream from an Amazon CloudWatch Logs destination in a centralized logging account.

VMware Cloud on AWS brings VMware’s SDDC technologies to the AWS global infrastructure. When customers combine Amazon OpenSearch Service with Amazon Kinesis Data Firehose and AWS Lambda, you can create a managed, end-to-end log aggregation and workload monitoring solution for workloads, including those running in VMware Cloud on AWS. In this post, Learn the benefits of this monitoring solution and explore ideas on how to get started utilizing it.

Insider, an AWS Competency Partner, has been using Elasticsearch for a long time and is satisfied with its performance and features. They had a couple of issues when scaling up its usage, however, but they fixed them by making changes on configurations, architecture, and hardware. Follow along as Insider’s team realizes that fixing symptoms without understanding the root cause may lead to worse scenarios, and how they learned the hard way the importance of identifying the real issue as soon as possible.