The latest from the MySQL community

Amazon Web Services (AWS) is a cloud platform that offers a wide variety of services including computing power, database storage, content delivery and other functionality that targets businesses of all sizes. One of their database solutions includes the Amazon Relational Database Service. Amazon RDS includes a number of popular RDBMSes, including Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle, and Microsoft SQL Server, as well as tools to manage your databases and monitor their performance.

Despite the wide range of metrics available within the Amazon RDS console, there are some very good reasons for using your own monitoring tool(s) instead or in addition to those offered by Amazon RDS. For example, familiarity with your own tool(s) or access to features that Amazon RDS does not provide would constitute two persuasive reasons for employing a local tool.

With traditional software monitoring platforms such as Monyog still enjoying …

In this blog post, we’ll discuss migrating data from encrypted Amazon MySQL RDS to encrypted Amazon Aurora.

One of my customers wanted to migrate from an encrypted MySQL RDS instance to an encrypted Aurora instance. They have a pretty large database, therefore using mysqldump or a similar tool was not suitable for them. They also wanted to setup replication between old MySQL RDS and new Aurora instances.

Spoiler: this is possible without any logical dump.

At first, I checked Amazon’s documentation on encryption and found nothing about this type of …

In this blog post, we’ll look at some tips on how to configure Aurora RDS parameters.

I was recently deploying a few Aurora RDS instances, a process very similar to configuring a regular RDS instance. I noticed a few minor differences in the way you configure Aurora RDS parameters, and very few articles on how the commands should be structured (for RDS as well as Aurora). The only real literature available is the official Amazon RDS documentation.

This blog provides a concise “how-to” guide to quickly change Aurora RDS parameters using the AWS CLI. Aurora retains the parameter group model introduced with RDS, with new instances having the default read only parameter groups. For a new instance, you need to create and allocate a new parameter group (this requires a DB reboot). After that, you can apply changes to …

With this Monyog release, we will provide monitoring capabilities for RDS/Aurora OS metrics along with an emphasis on the User Experience in several respects including a number of GUI design details. Additionally, the release adds a number of bug fixes and implements a number of user requests.

Changes as compared to Monyog MySQL Monitor 8.0.4 include:

Features:

• It is now possible to get OS metrics from Amazon RDS/Aurora (but not Azure, where interface for same is disabled).
• Added an option to generate a token in Monyog to be used with the MONyog API as an alternative to Monyog user and password.
• Added an option to define a “seconds_behind_master” setting in Replication page determining if the slave should be considered in sync or not. On some environments, slave will rarely be fully in sync and in such cases, the alerting was not really useful before. …

With this Monyog release, we will provide monitoring capabilities for RDS/Aurora OS metrics along with an emphasis on the User Experience in several respects including a number of GUI design details. Additionally, the release adds a number of bug fixes and implements a number of user requests.

Changes as compared to Monyog MySQL Monitor 8.0.4 include:

Features:

• It is now possible to get OS metrics from Amazon RDS/Aurora (but not Azure, where interface for same is disabled).
• Added an option to generate a token in Monyog to be used with the MONyog API as an alternative to Monyog user and password.
• Added an option to define a “seconds_behind_master” setting in Replication page determining if the slave should be considered in sync or not. On some environments, slave will rarely be fully in sync and in such cases, the alerting was not really useful before. …

Percona Live 2017 is done for Wednesday, but there was still time to get in one more talk before tonight’s Community Networking Reception – and the last one of the evening was about Amazon RDS.

Darin Briskman, Lead Developer Outreach & Technical Evangelist for Amazon, held two back-to-back sessions on Database management made simple – Amazon RDS. Amazon Relational Database Service (or Amazon RDS) is a distributed relational database service by Amazon Web Services (AWS).

Darin reviewed how Amazon Relational Database Service (Amazon RDS) makes it easy to set up, operate, and …

Amazon Relational Database Service (RDS) is a hosted database service in the AWS cloud. If your organization’s data is stored in one of the popular database systems, but on a company server or perhaps you’re renting a dedicated server, you might want to consider switching to Amazon RDS.  With Amazon RDS, you can choose from several relational database systems:  MySQL, MariaDB, Oracle, Postgres, and SQL Server, as well as Amazon Aurora.

There are many advantages to Amazon RDS, such as server scaling and load balancing of user traffic. Best of all, it can reduce the operational costs of running database software like MySQL. With Amazon RDS, you don’t need to worry about performing security updates, patching the operating system, or tuning the database. In fact, some of the patches Amazon deploys for MySQL and MariaDB are specifically designed to get better performance in a cloud setting.  Let’s look at some major …

In this blog post, I discuss some of the insights needed when using Amazon RDS and pt-online-schema-change together.

The pt-online-schema-change tool runs DDL queries (ALTER) online so that the table is not locked for reads and writes. It is a commonly used tool by community users and customers. Using it on Amazon RDS requires knowing about some specific details. First, a high-level explanation of how the tool works.

This is an example from the documentation:

pt-online-schema-change --alter "ADD COLUMN c1 INT" D=sakila,t=actor

The tool runs an ALTER on the table “actor” from the database “sakila.” The alter adds a column named “c1” of type …

Overview

Cloud storage is becoming more and more popular for offsite storage and DR solutions for many businesses. This post will help with those people that want to perform this process for MySQL backups directly into Amazon S3 Storage. These steps can probably also be adapted for other processes that may not be MySQL oriented.

Steps

In order to perform this task we need to be able to stream the data, encrypt it, and then upload it to S3. There are a number of ways to do each step and I will try and dive into multiple examples so that way you can mix and match the solution to your desired results.  The AWS S3 CLI tools that I will be using to do the upload also allows encryption but to try and get these steps open for customization, I am going to do the encryption in the stream.

1. Stream MySQL backup
2. Encrypt the stream
3. Upload the stream to AWS S3

Step 1 : …

Amazon has just released their RDS Migration Tool, and Pythian has recently undertaken training to use for our clients. I wanted to share my initial thoughts on the tool, give some background on its internals, and provide a walk-through on the functionality it will be most commonly used for.

There are many factors to consider when evaluating cloud service providers, including cost, performance, and high availability and disaster recovery options. One of the most critical and overlooked elements of any cloud offering though, is the ease of migration. Often, weeks are spent evaluating all of the options only to discover after the choice is made that it will take hours of expensive downtime to complete the migration, and that there is no good rollback option in the case of failure.

In order to reduce the friction inherent in the move to a DBaaS offering, Amazon has developed an RDS Migration tool. This is an in-depth look at this new …