AWS Database Blog
How Alight Solutions achieved 60% cost savings with Amazon ElastiCache for Valkey
Alight Solutions is a leading cloud-based human capital technology and services provider that has focused its operations on integrated benefits administration, healthcare navigation, and employee experience solutions. In this post, we share how Alight Solutions transformed their caching infrastructure using ElastiCache while maintaining strict performance requirements, achieving over 60% cost reduction, 70-80% reduction in operational overhead, migration of gigabytes of data with sub-0.5 millisecond performance for millions of users, and a 99.99% reduction in incident rate.
Migrating Amazon DocumentDB Cluster across Regions: A step by step guide
In this post, you will learn to migrate a regional Amazon DocumentDB cluster from one AWS Region to another using the Global Cluster feature with low downtime and without performance impact.
How Omnissa saved millions by migrating to Amazon RDS and Amazon EC2
Omnissa is a digital workspace technology leader that delivers smart, seamless, and secure digital work experiences for organizations worldwide. It serves 26,000 customers, including the top seven of the Fortune 500 companies. In this post, we walk through the Omnissa’s journey of migrating its mission-critical UEM platform and self-managed SQL Server workloads from VMware Cloud on AWS (VMC-A) to Amazon RDS for SQL Server and its application servers to Amazon EC2.
How Zepto scales to millions of orders per day using Amazon DynamoDB
In this post, we describe how Zepto transformed its data infrastructure from a centralized relational database to a distributed system for select use cases. We discuss the challenges encountered with Zepto’s original architecture to support the business scale, the shift towards using key-value storage for cases where eventual consistency was acceptable, and Zepto’s adoption of Amazon DynamoDB.
Building secure Amazon ElastiCache for Valkey deployments with Terraform
In this post we show you how to build a secure Amazon ElastiCache for Valkey cluster using Terraform, implementing best practices and comprehensive security controls including encryption, authentication, and network isolation.
PostgreSQL as a JSON database: Advanced patterns and best practices
This post shows you how to use PostgreSQL to store and search JSON data effectively. You’ll learn when to use JSON versus JSONB, how to create the right indexes, and how to write queries that perform well at scale.
Using SSL for in-transit encryption to connect Oracle as a source for AWS DMS
This post demonstrates how to implement SSL encryption for in-transit data protection when connecting Oracle Real Application Clusters (Oracle RAC) as a source to AWS Database Migration Service (AWS DMS). Additionally, it covers the unique steps required to configure SSL for Oracle Automatic Storage Management (Oracle ASM) instances.
AI-powered tuning tools for Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL databases: PI Reporter
In this post, we explore an artificial intelligence and machine learning (AI/ML)-powered database monitoring tool for PostgreSQL, using a self-managed or managed database service such as Amazon RDS for PostgreSQL and Amazon Aurora PostgreSQL.
Migrate Oracle reference partitioned tables to Amazon RDS or Aurora PostgreSQL with AWS DMS
Database migrations from Oracle to PostgreSQL are becoming increasingly common as organizations seek to optimize database costs while leveraging the benefits of open-source database solutions. However, these migrations present specific challenges, particularly when dealing with an Oracle-specific feature such as reference partitioning, which doesn’t have a direct equivalent in PostgreSQL. In this post, we show you how to migrate Oracle reference-partitioned tables to Amazon RDS for PostgreSQL or Amazon Aurora PostgreSQL-Compatible Edition using AWS DMS.
Optimize and troubleshoot database performance in Amazon Aurora PostgreSQL by analyzing execution plans using CloudWatch Database Insights
In this post, we demonstrate how you can use Amazon CloudWatch Database Insights to analyze your SQL execution plan to troubleshoot and optimize your SQL query performance in an Aurora PostgreSQL cluster.









