Category: Amazon ElastiCache

Grubhub and Vody are proving that the winners of AI-powered commerce won’t be defined by a single breakthrough feature, they’ll be the retailers who invest early in unified, AI-ready data foundations built on AWS. By modernizing catalog, content, and behavioral data across 400,000+ merchants, they delivered initial model results in just 6–10 weeks and demonstrated measurable improvements in search relevance, conversion, and customer experience, offering a blueprint for retailers preparing to lead the next wave of AI innovation.

Illumina’s suite of multiomics analysis tools hosted on AWS include capabilities for quality control, data aggregation, and advanced analytics. In this post, we demonstrate how software from Illumina, including DRAGEN™, Illumina Connected Analytics, Correlation Engine, and Illumina Connected Multiomics enable researchers to build scalable, secure analytical pipelines while maintaining security, data privacy, and compliance at scale.

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.

Founded by the creators of Apache Kafka, Confluent offers a platform for data in motion that enables processing data as real-time streams across on-premises and AWS. Learn how to power a logistics and inventory system with microsecond read performance powered by Amazon ElastiCache for Redis and durable streaming with Kafka powered by Confluent Cloud. You can use this pattern for building streaming applications and other broad sets of use cases with asynchronous requirements for low latency reads.

While modernizing customer mainframes, the team at AWS Blu Age discovered that Batch can be a complex aspect of a mainframe migration to AWS. It’s critical to design your AWS architecture to account for the key Batch stringent performance requirements such as intensive I/Os, large datasets, and short durations. Let’s explore how to migrate mainframe Batch to AWS microservices using AWS Blu Age automated transformation technology.