AWS Database Blog

AWS Lambda is a serverless compute offering that helps you design event-driven architectures. It provides direct integration with multiple AWS services, including Amazon Aurora MySQL-Compatible Edition. In this post, we show you how to invoke Lambda functions from Amazon Relational Databases Service (Amazon RDS) for MySQL and Amazon RDS for MariaDB using Amazon CloudWatch and […]

In this post, we share how Itaú Unibanco adapted to the growing demand of digital asset services from their customers, and how they used Amazon Managed Blockchain Access, Amazon Managed Blockchain Query, and AWS Nitro Enclaves to quickly bring enterprise-grade innovation to the digital asset space at scale. Adoption trends in Brazil Cryptocurrency adoption is […]

Morphia’s object document mapping capabilities provide Amazon DocumentDB (with MongoDB compatibility) developers massive productivity gains, faster application development, and cleaner code bases by drastically reducing the boilerplate and complexity typically associated with persistent data access. Morphia takes care of bidirectional Java object and Amazon DocumentDB document mapping, automating transparent persistence operations. This enables developers to […]

Many organizations have a large number of Oracle databases running on multiple physical servers or virtual machines. They invest substantial resources in the operation and administration of these databases, incurring expenses for infrastructure, management, and licensing. In many cases, these physical servers and virtual machines are under-utilized due to improvements in hardware technology, increase in […]

AWS Database Migration Service (AWS DMS) is a managed service that helps you migrate databases to AWS easily and securely. It supports various database sources and targets, including Amazon Relational Database Service (Amazon RDS), Amazon Aurora, Amazon Redshift, Amazon Simple Storage Service (Amazon S3), and more. With AWS DMS, you can migrate your data to […]

It’s common in an enterprise for data that logically fits together to be separated into different databases. Some data is better suited for one storage than another, and it may not be feasible to locate all your data in one data store. But this data often needs to be linked back together to provide a […]

In this post, we deep dive into using AWS Database Migration Service (AWS DMS) to load data to Amazon Redshift and discuss how to optimize data loading. In a world where data is always growing and larger datasets need to be processed, it’s important to use the right tool for the right job. Amazon Redshift […]

Microsoft Access can fulfill your small-scale database needs, but you may encounter limitations related to scalability, reliability, security, and performance as the data grows. For instance, state and local government entities often employ Microsoft Access for tasks like inventory management and timesheet maintenance. As data volume expands, you might consider transitioning to a more robust […]

Capacity planning for large applications can be difficult due to constantly changing requirements and the dynamic nature of modern infrastructures. Traditional reactive approaches, for instance, relying on static thresholds for some DevOps metrics like CPU and memory, fall short in such environments. In this post, we show how you can perform predictive analysis on aggregated […]

Amazon Aurora is a high-performance, fully managed relational database service offered by AWS. It is compatible with MySQL and PostgreSQL, providing exceptional scalability, availability, and durability for your data. Amazon Aurora Global Database allows you to replicate up to five different AWS Regions and provides robust disaster recovery capabilities. To ensure the resilience and recovery […]