AWS Database Blog

Category: RDS for MariaDB*

Amazon RDS Under the Hood: Multi-AZ

Amazon Web Services (AWS) customers bet their businesses on their data store and highly available access to it. For these customers, Multi-AZ configurations provide an easy-to-use solution for high availability (HA). When you enable Multi-AZ, Amazon Relational Database Service (Amazon RDS) maintains a redundant and consistent standby copy of your data. If you encounter problems […]

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Part 2 – Role of the DBA When Moving to Amazon RDS: Automation

In Part 1 of this blog series, I talked about how Amazon Relational Database Service (Amazon RDS) can help change the focus of your role as a database administrator (DBA) from routine, time-consuming tasks to project work that helps the business move faster. In this post, I discuss how you can push that advantage one step further and use AWS tools to do more through automation. An important aspect of being an effective DBA when your business is running at top speed is using code and automation whenever you can. AWS provides tools for you to make this easier.

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Part 1 – Role of the DBA When Moving to Amazon RDS: Responsibilities

This blog post is the first in a two-part series. In this first post, we discuss how moving to Amazon Relational Database Service (Amazon RDS) can change your role as a traditional DBA and bring more value to you, the business, key projects, and end users. In the next post, we will discuss how to use other AWS products to automate any remaining regular tasks in Amazon RDS.

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Implementing DB Instance Stop and Start in Amazon RDS

This post is from Matt Merriel at AWS partner Kloud, and Marc Teichtahl, manager for AWS Partner Solutions Architecture Australia and New Zealand. Kloud uses the new stop and start capabilities in Amazon RDS to lower costs for customers who don’t require 24×7 access to their databases during the testing and development phases of their […]

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Understanding Burst vs. Baseline Performance with Amazon RDS and GP2

Phil Intihar is a database engineer at Amazon Web Services. When we think about database storage, the dimensions that matter are the size, latency, throughput, and IOPS of the volume. IOPS stands for input/output (operations) per second, and latency is a measure of the time it takes for a single I/O request to complete. As […]

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