AWS Database Blog

Category: Database

Replace SQL Server Agent Job with AWS Step Functions

If you’re migrating from Microsoft SQL Server to Amazon Aurora PostgreSQL, you might have discovered that the SQL agent jobs cannot be easily moved. The job agent tools are not supported for Aurora PostgreSQL. You can overcome this limitation though, by using AWS Step Functions to replace a SQL agent job. In this blog post […]

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Monitor Amazon ElastiCache for Redis (cluster mode disabled) read replica endpoints using AWS Lambda, Amazon Route 53, and Amazon SNS

In Amazon ElastiCache for Redis, your applications use the provided endpoints to connect to an ElastiCache node or cluster. According to Amazon ElastiCache for Redis Components and Features in the ElastiCache for Redis User Guide, a multiple-node Redis (cluster mode disabled) cluster has two kinds of endpoints: “The primary endpoint always connects to the primary […]

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Introducing the AWS Database Ready Program

Introducing the new AWS Database Ready Program, enabling software vendors to modernize their software to support Amazon Aurora. Customers are asking for cloud-native applications that take advantage of Amazon Aurora’s performance, availability and the simplicity of open source, but without the expense of commercial database licenses.

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Replicate data from Amazon Aurora to Amazon S3 with AWS Database Migration Service

In this blog post, I’ll cover how to use an AWS CloudFormation template to automate the configuration that allows you to replicate data between a relational database like Amazon Aurora to Amazon Simple Storage Service (Amazon S3). I’ll walk you through a sample CloudFormation template so that you can customize for your needs. The AWS […]

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How Amazon DynamoDB adaptive capacity accommodates uneven data access patterns (or, why what you know about DynamoDB might be outdated)

Amazon DynamoDB is a nonrelational database with high performance at any scale. It is a fully managed service that adapts to your throughput needs, with built-in security, backup, and data protection. More than 100,000 developers have chosen DynamoDB for mobile, web, gaming, ad tech, IoT, and other applications that need low-latency data access. However, we […]

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How New Innovations migrated their residency management platform from Microsoft SQL Server to Amazon Aurora PostgreSQL

New Innovations has built a business around shared ideas and beliefs that all point to a larger purpose—empowering medical educators and administrators to provide quality medical education. Intelligence is advancing to the point where there is no separation between task and technology, and the result is that medical trainees and educators can be relieved of mundane administrative duties. Our partners in medical education work with us so that one day this ideal future becomes a reality.

The future is not far away, and thanks to AWS and Amazon Aurora PostgreSQL, our company has been able to build an infrastructure that scales to meet our customers’ demands. AWS Database Migration Service (AWS DMS) made our transition to Aurora PostgreSQL a seamless experience for both our customers and our software developers, while minimizing the risk. We used AWS DMS to fully migrate 700+ instances of Microsoft SQL Server to Aurora PostgreSQL. In addition, Amazon RDS Performance Insights now gives us excellent visibility into our database layer and allows us to respond quickly to any abnormalities.

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Recover from a disaster with delayed replication in Amazon RDS for MySQL

Amazon RDS for MySQL now supports a delayed replication, which allows you to set a time period that a replica database lags behind a source database. In a standard MySQL replication configuration, there is minimal delay between the source and the replica. Now you have the option to introduce an intentional delay. A delay is […]

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AWS Schema Conversion Tool blog series: Introducing new features in build 617

We are excited to introduce a new version of the AWS Schema Conversion Tool (AWS SCT). This version includes support for table-valued function conversions, additional information in server-level assessment reports, and more. For those of you who are new to AWS SCT, this tool helps convert your existing database schema from one database engine to […]

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How SGK simplified the data structure of a highly dynamic workload by migrating from an RDBMS to Amazon DynamoDB

Many database solutions are available today, and choosing the right one for your use case can be difficult. Recently, NoSQL databases have been widely adopted for real-time web applications. Amazon DynamoDB is an example of a NoSQL database that is optimized to yield significant flexibility and performance benefits over a traditional relational database management system […]

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