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Displaying posts with tag: containers (reset)
MySQL group replication: installation with Docker


MySQL Group Replication was released as GA with MySQL 5.7.17. It is essentially a plugin that, when enabled, allows users to set replication with this new way.

There has been some confusion about the stability and usability of this release. Until recently, MySQL Group Replication (MGR) was only available in the Labs, which traditionally denotes a preview or an use-at-your-own-risk feature. Several months ago we saw the release of Group Replication as a Docker image, which allowed users to deploy a peer-to-peer cluster (every node is a master.) However, about one month after such release, word came from Oracle discouraging this setup, and inviting users to use Group Replicator in …

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Measuring MySQL Health and Performance with Netsil

For SREs and DevOps engineers running MySQL database in production, it is crucial to understand how to monitor MySQL

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Is Docker Good for Your Database?

This blog post reviews the appropriateness of Docker and other container solutions for your database environment.

A few weeks back, I wrote a fairly high-level blog post about containers. It covered what you should consider when thinking about using Docker, rkt, LXC, etc. I hope you’ve taken the chance to give it a quick read. It’s a good way to understand some of the disciplines you need to consider before moving to a new technology. However, it sparked a conversation in our Solutions Engineering team. Hopefully, the same one that you’re having in your organization: should customers run their database in containers? …

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Dockerizing MySQL at Uber Engineering

In this article, we take a look at Schemadock, Uber Engineering's tooling solution for managing our increasing number of MySQL clusters.

The post Dockerizing MySQL at Uber Engineering appeared first on Uber Engineering Blog.

Three Things to Consider When Thinking About Containers

Containers like Docker and Rocket are getting more popular every day. In my conversations with customers, they consistently ask what containers are and how they can use them in their environment. If you’re as curious as most people, read on. . .

How did this happen?

From what I understand, containers grew out of Google’s (and others’) need for massive horizontal scale. Now, this is hardly a unique problem. At the time there were several different solutions out there that could help deploy and orchestrate the applications and infrastructure necessary to scale — namely virtual machines (VMs) and their orchestration services (like Vmware’s vCenter). At the uber-massive scale that companies like Google were pushing, however, server virtualization had some serious drawbacks. Enter containers. . .

What is a container?

Essentially, the main difference between a container and a virtual …

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Docker for Mac beta and MySQL - First impressions

Using Docker for development is a great way of ensuring that what you develop will be the same that you deploy in production. This is true for almost everything. If you develop on Linux, the above statement holds. If you develop on a different operating system (OSX or Windows) there are several restrictions.

I showed one of those issues in a recent article (MySQL and Docker on a Mac: networking oddity.) When you want to export a port from a service running in the container, the exported port is not available in your mac, but in the virtual machine that runs Docker services. This happens with any application that listens to a port.

The second limitation I found affects only MySQL, and it is related to using volumes. The proper way of achieving data persistence with …

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MySQL Sandboxes in Docker


When I got interested in Docker, I started playing idly with the idea of integrating containers and MySQL Sandbox. My first experiments were not encouraging. Using a container the same way I would use a regular server produced horrible results. I started by creating a Debian or CentOS container, installing MySQL Sandbox, and then importing an expanded tarball into the container. What happens is that tarballs of recent MySQL versions expand to roughly 2 GB of binaries. When you try to put that into a container you get a bloated file system. If you want to expand more than one tarball, you get an enormous unusable blob that is contrary to what containers should be used for. There is, of course, the possibility of using volumes, which would avoid the problem of making the container …

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A safer MySQL box in Docker

The MySQL team has been maintaining a MySQL image on Docker. They have been listening to requests from the community and reacting quickly. So far, they have fixed two bugs that I reported and introduced a feature request that I suggested to make the server more secure.

Thanks, folks!

My latest request was about password management in a MySQL container. I have mentioned in previous posts the compatibility problems introduced by MySQL 5.7 security enhancements. Let me recap the main issues here:

MySQL is secure by default.

The recommended method to install MySQL is mysqld --initialize, which will generate a random password that the DBA will then use to access the …

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MySQL and Docker on a Mac: networking oddity

This is a quick post only indirectly related to the series of articles about Docker that I have written recently.

Yesterday I was giving a presentation about Docker in Buenos Aires, and as usual I included a long live demo. Almost all went as expected. There was one step that I tried some time ago, and had always worked well, but when I tried to repeat it on stage, it failed miserably:

  • Step 1: run the container
$ docker run  -d --name mybox -e MYSQL_ROOT_PASSWORD=secret mysql/mysql-server …
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MySQL-Docker operations. - Part 4: Sandboxes, virtual machines, containers.

Previous episodes:

We're going to explore the choices and the differences between various types of deployments. We will consider four use cases:

  1. [Friendly]: Testing an application on a server where a different version of the same application is already installed (examples: a Python app requiring many …
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