Category: Customer Solutions
Amazon Relational Database Service (Amazon RDS) for Oracle is a fully managed commercial database that makes it straightforward to set up, operate, and scale Oracle deployments in the cloud. In this post, we share the story of a database migration for a business-critical application from a vital database instance running inside Oracle SuperCluster to Amazon […]
This post is co-written with Holger Macht and Mike Matsumoto from Zalando. Zalando is a leading European online shop for fashion and lifestyle. Founded in Berlin in 2008, Zalando brings head-to-toe fashion to over 50 million active customers, offering clothing, footwear, accessories, and beauty supplies. The assortment of international brands ranges from world-famous names to […]
Unlocking cost-optimization: Open Raven’s journey with Amazon Aurora I/O-Optimized leads to 60% savings
Open Raven is a leader in automated multi-cloud data security. Open Raven is the data security posture management company that prevents leaks, breaches, and compliance incidents. The Open Raven Data Security Platform connects to your cloud environment within minutes and works over native APIs and serverless functions. The Open Raven Data Security Platform works at cloud […]
How VMware consolidated a multi-tenant cloud asset data store on Amazon Aurora MySQL with Amazon RDS Proxy
This post is co-written with Peter Fein, Staff Engineer 2 at VMware VMware Tanzu CloudHealth, consolidated a multi-tenant, self-managed, 166-node sharded MySQL databases to Amazon Aurora MySQL-Compatible Edition and Amazon RDS Proxy. The goal was to support long-term, continuous, multi-factor data growth on their platform while improving reliability and simplifying operations. VMware Tanzu CloudHealth is […]
In this post, we show you how you can use the RMAN XTTS functionality to migrate from an Oracle database hosted on Amazon Elastic Compute CLoud (Amazon EC2) to Amazon RDS for Oracle. Combined with Amazon Elastic File System (Amazon EFS) integration, XTTS can help reduce the complexity of your migration strategy, reduce the number and copies of data and backups required (as well as associated storage space consumption), and reduce the application downtime associated with completing the migration of your data.
In this post, we discuss an automotive manufacturing information management use case where we store information about components within a vehicle as well as the hierarchy between each of the components. For our automotive use case, we use Amazon DynamoDB to deliver transactional queries, such as component attribute lookups. We will also show you how to use DynamoDB for larger responses such as a recursive query for all the components in a vehicle. While recursive object relationships can be represented in graph databases and possibly traditional RDBMS (with complex joins), these deeper queries can also be represented in DynamoDB.
Cosmos is a decentralized network of interoperable blockchain networks that serves as an open and highly scalable environment on which to build blockchain applications. With effective support for cross-chain interaction between homogeneous and heterogeneous blockchains, Cosmos aims to extend interoperability to a broader landscape. In this post, we discuss the value and technical architecture of Cosmos and provide a detailed tutorial on the quick deployment of the Cosmos enterprise framework (IRITA) within the AWS environment.
In this post, we demonstrate how to create custom PostgreSQL data types using TLE. PostgreSQL ships with many robust data types that accommodate most customer workloads in a performant manner. Although PostgreSQL has the capabilities to deploy custom data types natively, introducing new data types at scale in architectures spanning multiple AWS accounts and Regions poses a unique challenge for builders. With Trusted Language Extensions (TLE), you can create and manage your custom data types, allowing the quick and easy deployment of PostgreSQL data types across your infrastructures in a secure and efficient manner.
How Amazon Finance Technologies built an event-driven and scalable remittance service using Amazon DynamoDB
The Amazon Finance Technologies (FinTech) payment transmission team manages products for the Accounts Payable (AP) team, from invoices to the pay process. Their suite of services handles the disbursement process, from invoice generation to payment creation, to make sure that payment beneficiaries receive their payments. Amazon Business makes payments to a very diverse range of […]
Remove temporal tables and history objects while migrating to Amazon DynamoDB using Amazon DynamoDB Streams
Customers at times use proprietary database features like Microsoft SQL Server temporal tables or Oracle Flashback to store and query historical data from important tables or to record a change trail of contents. Temporal tables are a database feature that brings built-in support for providing information about data stored in the table at any point […]