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Displaying posts with tag: scalability (reset)
MySQL team: make it easy to give you feedback!

There was a bold announcement during the MySQL Keynote at Oracle Open World. A new product that will mix up with the existing GA server, called MySQL InnoDB Cluster. This is an evolution of MySQL group replication, which has been in the labs for long time, and the MySQL shell, which was introduced as a side feature last April. The boldness I mentioned before is on account of wanting to add to a GA server something that was defined as release candidate despite never having been out of the labs. The product is interesting as it promises to be a quick and painless cluster deployment, with built-in high availability and scalability.

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Should we be muddying the relational waters? Use cases for MySQL & Mongodb

Many of you know I publish a newsletter monthly. One thing I love about it is that after almost a decade of writing it regularly, the list has grown considerably. And I’m always surprised at how many former colleagues are actually reading it. So that is a really gratifying thing. Thanks to those who are, … Continue reading Should we be muddying the relational waters? Use cases for MySQL & Mongodb →

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My Guidebook for Percona Live Amsterdam, 2015 - Part II

I see on Facebook that many of my friends are already on their way to Amsterdam for Percona Live Amsterdam 2015 that starts on Monday. As I explained, I am not going there, but I'd like to share my ideas on what presentations are worth attending.

So, the program for the last day, September 23, also looks really interesting and I'd have real problems on where to go for most of the slots. As usual, I'd try to listen to all keynotes, but I am especially interested in …

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MySQL Thread Pool Improvements @ Twitter

At Twitter, MySQL is an important part of our storage story. We can have a typical database node with thousands of open connections. It works mostly fine because generally only a few of these connections actively working inside the server. Given the scale at which we have to operate spikes happen – mostly at unexpected times and with unexpected ferocity. The challenge is how to control concurrency within MySQL server during spikes.

Historically we have been using innodb_thread_concurrency to control number of active threads within the server. In Twitter MySQL-5.5 we introduced the idea of Query Throttling where incoming requests are throttled if the number of active threads goes beyond a configurable threshold. These solutions focus on maintaining the health of the system. However, they don’t help us to scale to the workload spikes. With …

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Is automation killing old-school operations?

Join 27,000 others and follow Sean Hull on twitter @hullsean. I was shocked to find this article on ReadWrite: The Truth About DevOps: IT Isn’t Dead; It’s not even Dying. Wait a second, do people really think this? Truth is I have heard whispers of this before. I was at a meetup recently where the […]

Which tech do startups use most?

Leo Polovets of Susa Ventures publishes an excellent blog called Coding VC. There you can find some excellent posts, such as pitches by analogy, and an algorithm for seed round valuations and analyzing product hunt data. He recently wrote a blog post about a topic near and dear to my heart, Which Technologies do Startups […]

Clustering Moodle on Multiple Servers for High Availability and Scalability

August 12, 2014 By Severalnines

Moodle is an open-source e-learning platform (aka Learning Management System) that is widely adopted by educational institutions to create and administer online courses. For larger student bodies and higher volumes of instruction, moodle must be robust enough to serve thousands of learners, administrators, content builders and instructors simultaneously. Availability and scalability are key requirements as moodle becomes a critical application for course providers. In this blog, we will show you how to deploy and cluster moodle/web, database and file-system components on multiple servers to achieve both high availability and scalability. 


We are going to deploy moodle on top of GlusterFS clustered file system and MariaDB Galera Cluster 10. To eliminate any single point of failure, we will use three nodes to serve the application and database while the remaining two are used for …

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Howto automate MySQL slow query analysis with amazon RDS

If you’ve used relational databases for more than ten minutes, I hope you’ve heard of slow queries. Those are those pesky little gremlins that are slowing down your startup, and preventing scalability you so desperately need. Luckily there’s a solution. What I’ve found is if I send a report to developers every week, it keeps […]

If you use MySQL in the Amazon cloud, you need to ask yourself this question

Join 25,000 others and follow Sean Hull on twitter @hullsean. Are you serious about backups? If you’re just using Amazon EBS snapshots, that may not be sufficient. There’s a good chance it won’t protect you against your next data loss. That’s why I like to have a few different types of backups Also: 5 more […]

Using Apache Hadoop and Impala together with MySQL for data analysis

Apache Hadoop is commonly used for data analysis. It is fast for data loads and scalable. In a previous post I showed how to integrate MySQL with Hadoop. In this post I will show how to export a table from  MySQL to Hadoop, load the data to Cloudera Impala (columnar format) and run a reporting on top of that. For the examples below I will use the “ontime flight performance” data from my previous post (Increasing MySQL performance with parallel query execution). I’ve used the Cloudera Manager v.4 to install Apache Hadoop and Impala. For this test …

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