Category: Amazon OpenSearch Service

Camunda as an AWS Partner is looking strategically into enabling business orchestration at scale by leveraging AWS’s cloud services. The collaboration focuses on key areas like AWS Marketplace listing, the AWS Partner Network, co-selling and more to come. By combining Camunda’s expertise in automation with AWS’s cloud capabilities, the partnership aims to accelerate digital transformation, optimize operations, and enhance competitive advantage for customers.

By Milan Thanawala – Global Head for Database, Partner GTM – AWSBy Ryan Gross – Head of Data & Applications – CaylentBy Mark Olson – Portfolio CTO – Caylent Introduction Organizations are increasingly adopting generative AI applications, which require efficient storage and retrieval of high-dimensional vector representations of data. Traditional databases are not well-suited for […]

QuesTek, a leader in Integrated Computational Materials Engineering (ICME), and AllCloud, an AWS Partner, collaborated to integrate generative AI into QuesTek’s ICMD (Integrated Computational Materials Design) platform. In this post, we will provide a high-level overview of the generative AI use cases that transformed the ICMD platform.

Learn how AWS and ThinkCol collaborate to build responsible AI solutions using guardrails and safeguards. With ThinkCol’s Guardrail Solution, businesses can now harness generative AI’s power while mitigating risks of toxicity, hallucination, and misuse. Additionally, organizations have the ability to maintain brand integrity and customer trust through a framework that includes pre-checking queries, generating accurate answers, and post-checking for relevance.

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.