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Showing entries 1 to 10 of 188 10 Older Entries

Displaying posts with tag: scalability (reset)

MySQL Thread Pool Improvements @ Twitter
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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 …

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Is automation killing old-school operations?
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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?
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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
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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 …

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Howto automate MySQL slow query analysis with amazon RDS
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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
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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
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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 ( …

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MaxScale has now its own public irc channel
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MaxScale is a Proxy for the MySQL protocol built with a modular architecture. The underlying concept of modules allows to extend the MaxScale proxy services. The current version implements Read Write splitting and Connection Load Balancing. Internally MySQL queries go through a SQL parsing phase. This gives MaxScale great capabilities regarding queries routing.

So if [...]

MaxScale, ProxySQL and MySQL Proxy
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At FOSDEM 2014 ProxySQL and MaxScale were both presented. Both are proxy that can help build sophisticated MariaDB/MySQL architectures. But currently what is the most used proxy with MySQL? It is HAproxy. HAproxy is a level 4 proxy that has no knowledge of the MySQL protocol. Being low level makes it very fast but it [...]

Multiple masters : attraction to the stars
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In the last 10 years I have worked a lot with replication systems, and I have developed a keen interest in the topic of multiple masters in a single cluster. My interest has a two distinct origins:

  • On one hand, I have interacted countless times with users who want to use a replication system as a drop-in replacement for a single server. In many cases, especially when users are dealing with applications that are not much flexible or modular, this means that the replication system must have several points of data entry, and such points must work independently and in symbiosis with the rest of the nodes.
  • On the other hand, I …
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Showing entries 1 to 10 of 188 10 Older Entries

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