Category: Amazon RDS

As organizations move to AWS, ensuring you have an effective disaster recovery (DR) strategy in place to manage outages is paramount. Through defining a common understanding of RTO and RPO requirements, organizations can adequately design for DR solutions. Learn how Onica’s Elastic Engineering team co-created a solution with a client that leverages serverless architecture and enables an automated backup and restore for Amazon RDS instances.

Many SaaS applications boast of microservices as a means to divide a monolithic architecture into easily manageable solutions. Sometimes these microservices have their own databases. To maintain data consistency across the system, you need to implement a data synchronization system between source and target data persistence layers. Learn how Trantor has developed a solution using Amazon AppFlow to easily synchronize the data between Salesforce and Amazon RDS for PostgreSQL in near real-time.

Baffle Data Protection Services (DPS) provides a data-centric protection layer allowing customers to tokenize, encrypt, and mask data in Amazon RDS at the column or row level, without any application code modifications while supporting a BYOK or HYOK model. Review the architecture for Baffle DPS, and walk through how to launch and test Baffle DPS from an AWS CloudFormation template with Amazon RDS databases to encrypt data at the column level.

Many enterprises with applications that use Microsoft SQL Server workloads feel constrained by the punitive licensing costs. They are looking to save on MS SQL Server license commitments, and reduce their operational overhead and complexity. Learn how Zen helped their customer save 75& on licensing costs by migrating SQL Server workload to Amazon Amazon RDS, and dive deep on the technical challenges, solution architecture, key processes, and individual steps of the migration.

Amazon RDS customers are looking for AWS Partners with specific database engine expertise to set up, operate, and scale relational databases in the cloud. To meet this need, we are relaunching the Amazon RDS Service Delivery Program, which now validates AWS Partners by database engine type. This allows customers to identify an Amazon RDS Partner that best meets their database engine-specific migration and implementation needs.

As databases are often a key component of internet infrastructure, IT departments may be challenged by poor connection management from the application. The Heimdall Proxy helps developers, database administrators, and architects horizontally scale out and optimize connections through connection pooling for Amazon Amazon RDS and Amazon Redshift without any application changes. As a result, you will reduce your database instance size and support higher user counts.

Oracle customers have common questions about their licensing options when considering deployment to AWS. Oracle customers who do not proactively confirm their options risk spending too much on licensing. Customers may also face an Oracle audit that could expose avoidable license compliance issues. AWS has a variety of options for customers considering deployment of Oracle to AWS. When done properly, customers can significantly optimize their Oracle license costs when deploying to the proper AWS service.

To proactively identify and remediate potential errors, you need deep visibility into your entire Amazon RDS environment. This post shows you how Datadog can fetch data from Amazon CloudWatch and your Amazon RDS database instances to give you a comprehensive view of your cloud environment. We also dive into how you can automatically detect performance anomalies, abnormal throughput behavior, and forecasting storage capacities.

DroneAnalytics offers hardware and software solutions for drones and connected objects. The consulting services from Swisscom, based on the AWS Well-Architected Framework, enabled them to more properly monitor their consumption of AWS services. By leveraging Well-Architected best practices and working with Swisscom, DroneAnalytics saved 60 percent on their AWS spend, whilst maintaining the same or better levels of operational efficiency, reliability, and performance.

The Amazon RDS Ready Program makes it easy for AWS customers to find products and solutions that integrate with Amazon RDS database engines including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, and SQL Server. Amazon RDS Ready Partners provide tooling for Amazon RDS adoption in areas like migration, performance, governance, and monitoring. They also support the use of the Amazon RDS platform as a back-end for applications deployed within a customer’s AWS account.