Category: Customer Solutions

In this post, we show you how Kajabi navigated complex Aurora PostgreSQL database upgrades and achieved an 80.53% cost reduction through strategic planning and technical execution. You’ll discover their hybrid approach combining Amazon Aurora blue/green deployments with PostgreSQL native replication. You’ll also learn about their implementation of Aurora I/O-Optimized storage and the key lessons from their journey. Whether you’re managing large-scale databases or planning your own upgrade path, Kajabi’s experience offers valuable insights. You’ll see how to balance performance requirements with cost optimization while maintaining continuous availability.

In this post, we share Ring’s billion-scale semantic video search on Amazon RDS for PostgreSQL with pgvector architectural decisions vs alternatives, cost-performance-scale challenges, key lessons, and future directions. The Ring team designed for global scale their vector search architecture to support millions of customers with vector embeddings, the key technology for numerical representations of visual content generated by an AI model. By converting video frames into vectors-arrays of numbers that capture what’s happening (visual content) in each frame – Ring can store these representations in a database and search them using similarity search. When you type “package delivery,” the system converts that text into a vector and finds the video frames whose vectors are most similar-delivering relevant results in under 2 seconds.

In this post, we provide a guide to migrating from Redis OSS to ElastiCache for Valkey, incorporating different migration strategies and AWS best practices. Additionally, we highlight a customer’s successful migration to Valkey, which maintained their robust performance standards while achieving a 20% reduction in ElastiCache cluster costs.

Dutchie, a leading technology platform serving the cannabis industry, manages critical operations for thousands of dispensaries across multiple states, processing millions of transactions annually. In this post, we explore how Dutchie successfully navigated the challenges of migrating mission-critical workloads to Amazon RDS for SQL Server in preparation for 4/20 week in 2025.

In 2023, Tradeshift migrated one of its core PostgreSQL databases from self-managed Amazon Elastic Compute Cloud (Amazon EC2) instances to Amazon Relational Database Service (Amazon RDS) for PostgreSQL. The decision followed mounting operational risks and performance limits that made the existing setup increasingly unsustainable. Tradeshift needed a managed solution that could reduce downtime risk, improve observability, and simplify ongoing operations. Amazon RDS met those requirements. In this post, we explain why we migrated to Amazon RDS, how we executed the migration, and highlight the invaluable benefits it delivered in terms of safety, flexibility, and audit compliance.

MaiCoin is a leading cryptocurrency exchange and brokerage platform in Taiwan. The MaiCoin platform previously ran on a set of Amazon ElastiCache deployment clusters on Redis OSS. This post explores MaiCoin’s practical approaches using RedisShake for migrating from Amazon ElastiCache for Redis OSS to Amazon ElastiCache for Valkey using blue/green deployment strategies.

As a global leader in the online travel industry, Booking.com continuously works to improve the travel experience for its users. Latency is a key factor in achieving this—nobody likes waiting for their search results to be returned. In this post, we share how Booking.com designed a well-architected Amazon ElastiCache-based feature platform, achieving ultra-low latency and high throughput, to ensure the best possible user experience.

Regeneron, a leading biotechnology company, effectively harnesses traditional on-premises solutions with a sophisticated database architecture to bolster essential commercial-off-the-shelf (COTS) and GxP business applications. In this post, we highlight why Regeneron chose to use Amazon RDS Custom for Oracle to deploy COTS and GxP applications on AWS. This decision underscores their commitment to advancing from a legacy architecture to a robust, scalable, and resilient managed service. By doing so, Regeneron not only enhances their backend database infrastructure but also ensures adherence to GxP procedures, demonstrating their dedication to operational excellence and regulatory compliance.

Netflix operates a global streaming service that serves hundreds of millions of users through a distributed microservices architecture. In this post, we examine the technical and operational challenges encountered by their Online Data Stores (ODS) team with their current self-managed distributed PostgreSQL-compatible database, the evaluation criteria used to select a database solution, and why they chose to migrate to Amazon Aurora PostgreSQL to meet their current and future performance needs. The migration to Aurora PostgreSQL improved their database infrastructure, achieving up to 75% increase in performance and 28% cost savings across critical applications.

With the Letta Developer Platform, you can create stateful agents with built-in context management (compaction, context rewriting, and context offloading) and persistence. Using the Letta API, you can create agents that are long-lived or achieve complex tasks without worrying about context overflow or model lock-in. In this post, we guide you through setting up Amazon Aurora Serverless as a database repository for storing Letta long-term memory. We show how to create an Aurora cluster in the cloud, configure Letta to connect to it, and deploy agents that persist their memory to Aurora. We also explore how to query the database directly to view agent state.