Category: Expert (400)

Amazon Relational Database Service (Amazon RDS) Custom for Oracle allows you the flexibility to configure the database authentication method that can help you meet your security needs. A common and traditional method is to use database authentication via user names and passwords, but this method requires more effort from both administrators and users to manage, […]

As you migrate Oracle workloads to AWS, you may want to implement Oracle Enterprise Manager (OEM) Cloud Control, Oracle’s management platform, which provides a single pane of glass for managing Oracle environments. In this post, we provide the architecture and process to implement OEM 13.5 with high availability (HA) with an Amazon Relational Database Service […]

Today’s online games generate more data than ever and have request rates that reach millions per second. For these data-intensive games, it’s important for developers to select a database that delivers consistent low latency at any scale and has throughput elasticity to accommodate spikes in traffic without costly overprovisioning during low activity periods. This is […]

A high availability solution for the database stack is an important aspect to consider when migrating or deploying Oracle databases in the AWS Cloud to help ensure that the architecture can meet the service level agreement (SLA) of the application. Unavailability of a critical database can lead to application outage, interruption to business operations, inaccessibility […]

The command query responsibility segregation (CQRS) pattern, derived from the principle of command-query separation, has been popularized by the domain-driven design community. CQRS architectures that use event sourcing save generated events in an append-only log called an event store. By using event sourcing, you can, among other benefits: Design applications to update a database and […]

When moving from monoliths to microservices, you often need to propagate the same data from the monolith into multiple downstream data stores. These include purpose-built databases serving microservices as part of a decomposition project, Amazon Simple Storage Service (Amazon S3) for hydrating a data lake, or as part of a long-running command query responsibility segregation […]

Most enterprise customers have high uptime requirements for their mission-critical applications. Their businesses can’t afford application downtime and have requirements for minimal or near-zero downtime patching ability for their application and databases. The infrastructure used by the backend Oracle databases for those business-critical applications must be able to support these high uptime needs. When migrating […]

Amazon RDS Proxy is a fully managed, highly available database proxy for Amazon Relational Database Service (Amazon RDS) that makes applications more scalable, more resilient to database failures, and more secure. With RDS Proxy, you can handle unpredictable surges in database traffic that might otherwise cause issues due to oversubscribing connections or creating new connections […]

Customers running their business-critical workloads on SAP Adaptive Server Enterprise (Sybase ASE) databases can modernize them by migrating to Amazon Relational Database Service (Amazon RDS) for SQL Server and be able to keep Transact-SQL (T-SQL) as their preferred database programming language and Tabular Data Stream (TDS) as their communication protocol, which accelerates the migration and […]

Automating the management of the compute resources associated with your Amazon Neptune database cluster can save you time and money. The most significant cost when running Neptune for your graph workloads are the compute resources in the database cluster. If you’re also using associated resources such as Amazon SageMaker notebook instances, which you can use […]