Category: Customer Solutions

In this post, you learn how Smartsheet built a Real-time Dynamic Filtering (RDF) system on Amazon Managed Service for Apache Flink, cutting messaging costs by over $40,000 per month and improving live collaboration latency by 1.8x.

In this post, we show you how to build an AI-powered troubleshooting solution using Amazon OpenSearch Service vector search and intelligent analysis. This solution reduces HBase inconsistency resolution from hours to minutes and root cause identification from days to hours through natural language queries over operational data. This democratizes HBase troubleshooting capabilities across teams and reducing dependency on specialized expertise.

In this post, we discuss how you can use Precisely Connect to enable real-time, direct replication of mainframe data to Amazon Simple Storage Service (Amazon S3), and how your organization can extend this foundation using Amazon S3 Tables for advanced analytics.

This post explores how combining Babel Street Match with OpenSearch Service provides a solution that helps your organization to handle large-scale, multilingual data.

In this post, Vanguard’s Financial Advisor Services division describes how they evolved from a single Amazon Redshift cluster to a multi-warehouse architecture using data sharing and serverless endpoints to eliminate performance bottlenecks caused by exponential growth in ETL jobs, dashboards, and user queries.

In this post, we share insights from one of our customers’ migration from DC2 to RA3 instances. The customer, a large enterprise in the retail industry, operated a 16-node dc2.8xlarge cluster for business intelligence (BI) and ETL workloads. Facing growing data volumes and disk capacity limitations, they successfully migrated to RA3 instances using a Blue-Green deployment approach, achieving improved ETL query performance and expanded storage capacity while maintaining cost efficiency.

In this post, we explore how Razorpay, India’s leading FinTech company, transformed their data platform by migrating from a third-party solution to Amazon EMR, unlocking improved performance and significant cost savings. We’ll walk through the architectural decisions that guided this migration, the implementation strategy, and the measurable benefits Razorpay achieved.

Amplitude is a product and customer journey analytics platform. Our customers wanted to ask deep questions about their product usage. Ask Amplitude is an AI assistant that uses large language models (LLMs). It combines schema search and content search to provide a customized, accurate, low latency, natural language-based visualization experience to end customers. Amplitude’s search architecture evolved to scale, simplify, and cost-optimize for our customers, by implementing semantic search and Retrieval Augmented Generation (RAG) powered by Amazon OpenSearch Service. In this post, we walk you through Amplitude’s iterative architectural journey and explore how we address several critical challenges in building a scalable semantic search and analytics platform.

Yggdrasil Gaming develops and publishes casino games globally, processing massive amounts of real-time gaming data for game performance analytics, player behavior insights, and industry intelligence. Yggdrasil Gaming reduced multi-cloud complexity and built a scalable analytics foundation by migrating from Google BigQuery to AWS analytics services. In this post, you’ll discover how Yggdrasil Gaming transformed their data architecture to meet growing business demands. You will learn practical strategies for migrating from proprietary systems to open table formats such as Apache Iceberg while maintaining business continuity. Yggdrasil worked with GOStack, an AWS Partner, to migrate to an Apache Iceberg-based lakehouse architecture. The migration helped reduce operational complexity and enabled real-time gaming analytics and machine learning.

Twilio is a cloud communications platform that provides programmable APIs and tools for developers to easily integrate voice, messaging, email, video, and other communication features into their applications and customer engagement workflows. In this blog series we discuss how we built a multi-engine query platform at Twilio. The first part introduces the use case that led us to build a new platform and why we selected Amazon Athena alongside our open-source Presto implementation. This second part discusses how Twilio’s query infrastructure platform integrates with AWS Lake Formation to provide fine-grained access control to all their data.