AWS Database Blog

Using in-Region read replicas in Amazon RDS for SQL Server

Amazon RDS for SQL Server now supports in-Region read replicas, which give you the ability to offload your read workloads from your primary database instance to a replica. Read replicas use the built-in distributed availability groups feature and are available for Enterprise Edition. A distributed availability group is an availability group that spans two separate […]

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Getting started with Amazon RDS managed databases in your on-premises VMware environment

Amazon RDS on VMware extends the managed database experience of AWS Relational Database Service (RDS) to your on-premises VMware environment using the Amazon RDS technology that hundreds of thousands of customers enjoy. This post demonstrates how VMware administrators and database administrators can deploy RDS on VMware environments. It discusses how to prepare your on-premises vSphere […]

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Recap of Amazon RDS and Aurora features launched in 2019

Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and scale a relational database in the cloud. It provides cost-efficient and resizable capacity. At the same time, it automates time-consuming administration tasks such as hardware provisioning, database setup, patching, and backups. It frees you to focus on your applications so you […]

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Making better decisions about Amazon RDS with Amazon CloudWatch metrics

If you are using Amazon Relational Database Service (RDS), you may wonder about how to determine the best time to modify instance configurations. This may include determining configurations such as instance class, storage size, or storage type. Amazon RDS supports various database engines, including MySQL, PostgreSQL, SQL Server, Oracle, and Amazon Aurora. Amazon CloudWatch can […]

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Migrating to Amazon DocumentDB with the online method

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. You can use the same MongoDB 3.6 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. As a document database, […]

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PostgreSQL 12 – A deep dive into some new functionality

The PostgreSQL community continues its consistent cadence of yearly major releases with PostgreSQL 12. PostgreSQL 12 introduces features opening up new development opportunities while simplifying the management of some already robust capabilities, such as new ways to query JSON data, enhancements to indexes, and better performance with partitioned tables. In this post, I take a […]

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Implementing bulk CSV ingestion to Amazon DynamoDB

This post reviews what solutions exist today for ingesting data into Amazon DynamoDB. It also presents a streamlined solution for bulk ingestion of CSV files into a DynamoDB table from an Amazon S3 bucket and provides an AWS CloudFormation template of the solution for easy deployment into your AWS account. Amazon DynamoDB is a key-value […]

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Moving on from Amazon RDS for PostgreSQL Versions 9.4

Historically, the PostgreSQL community releases a new major version yearly, and with that, has a defined end of life (EOL) policy of older major versions. This allows version and upgrade decisions to be made on dates known well into the future. The community EOL policy is to support a major version for 5 years after […]

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Introducing role-based access control for Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB 3.6 workloads. You can use the same MongoDB application code, drivers, and tools as you do today to run, manage, and scale workloads on Amazon DocumentDB without worrying about the underlying infrastructure. Amazon DocumentDB has […]

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Using $dateFromString and executionStats in Amazon DocumentDB (with MongoDB compatibility)

Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads. Amazon DocumentDB makes it easy and intuitive to store, query, and index JSON data. If you are new to Amazon DocumentDB, see Ramping up on Amazon DocumentDB (with MongoDB compatibility). Amazon DocumentDB continues to […]

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