Atlassian apps are widely used by development teams to facilitate software development and collaboration. For larger teams who require enterprise-grade tools, you might want to host the applications in your own data center and cluster them for high availability and performance. 

In this blog post, we are going to deploy a redundant active-passive setup for JIRA with clustered MySQL and NFS shared storage. Note that some Atlassian applications (JIRA, Confluence and Stash) already has built-in clustering support, and these require you to have a Data Center license. In this blog, we will show you how to cluster the regular/standalone JIRA server product by deploying an active JIRA server with an additional passive stand-by instance for failover purposes.

The following is our architecture diagram:

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One year ago, I blogged about Evaluation and Online Migration of MySQL 5.6 GTIDs.  At that time, we setup the following test environment where:

A is a production master with GTIDs disabled, D to Z are standard slaves with GTIDs disabled, B is an intermediate master running my recompiled version of MySQL implementing the ANONYMOUS_IN-GTID_OUT mode (see the details my previous post), C is a slave

Founded in 2004 to help people find great local businesses, Yelp has some 135 million monthly unique visitors. With those traffic volumes Yelp’s 300+ engineers are constantly working to keep things moving smoothly – and when you move that fast you learn many things.

Fortunately for the global MySQL community, three Yelp DBAs will be sharing what they’ve learned at the annual Percona Live MySQL Conference and Expo this April 13-16 in Santa Clara, California.

Say “hello” to Susanne Lehmann, Jenni Snyder and Josh Snyder! I chatted with them over email about their presentations, on how MySQL is used at Yelp, and about the shortage of women in MySQL.

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Tom: Jenni, you and Josh will be co-presenting “ …

We’ve heard lots in recent years about Big Data and the alternative models of data management and processing, like Hadoop and NoSQL. But truth be told, relational databases are still the workhorses of most of today’s small and medium sized businesses. Relational DBs date back over 40 years and SQL skills are fairly common, and they’re known to be highly secure.

MySQL is the world’s second most popular relational database management system (RDMS) and is the most popular open-source version of the database. It’s easily accessible and is often known to be part of the LAMP web development stack, standing for the ‘M’ in the acronym of popular tools, along with Linux, Apache, and PHP/Perl/Python. The fact that MySQL is free, easy to setup and scales fast are some of the main reasons why it’s the best match for many SMBs.

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I gots to know…

Big web companies who use MySQL – what isolation level(s) do you use? Do you take the default? Do you think about it at all? How about if you use, eg, memcached, what there? And, does your code think about optimistic or pessimistic locking?

I’ve been reading up on isolation levels after seeing Peter Bailis’
http://www.bailis.org/blog/understanding-weak-isolation-is-a-serious-problem/
(thanks to Mark Callaghan for re-tweeting about it).

I’m learning things…  here’s one for today –

I always thought that the “repeatable” in repeatable read applied to the data in general. Meaning that a query run twice in a transaction would “repeat” the same results. I guess it actually is supposed to apply to records?  Ie, other transactions’ updates to an …

Have you downloaded our eBook, Building Database Driven Apps with Go? It is the best resource to quickly learn how to connect a database from Go programs.

This excerpt presents a quick introduction to the major functionality of database/sql in the form of a fully functioning Go program.

Before you begin, ensure you have access to a MySQL database, as we’ll use MySQL for the example. If you don’t have an instance of MySQL that’s appropriate for testing, you can get one in seconds with the MySQL Sandbox utility.

Create a new Go source file, hello_mysql.go, with the following source code (download). You may need to adjust the connection parameters as needed to connect to your testing database. Note …

With the changes to performance_schema in MySQL 5.7 Development Milestone Release it is now possible to analyze and profile the execution of stored programs. This is highly useful if you develop more complex stored procedures and try to find the bottlenecks. The "old" performance_schema up to MySQL 5.6 only reported a CALL statement with a runtime, but no information on statements that were executed WITHIN the stored procedure. Now let's try this in the latest MySQL 5.7.6 DMR release. After creating some test table and a test stored procedure we need to activate the events_statements_history_long consumer, which is OFF by default:

mysql> UPDATE setup_consumers SET ENABLED="YES" 
           WHERE NAME = "events_statements_history_long"; 

Then let's call the stored procedure that we want to inspect:

mysql> CALL …

On Thursday I’ll be hosting a webinar explaining how you can get the best from the NoSQL world while still getting all of the benefits of a proven RDBMS. As always the webinar is free but please register here.

Even if you can’t join the live webinar, it’s worth registering as you’ll be emailed a link to the replay as soon as it’s available.

Abstract

There’s a lot of excitement about NoSQL data stores, with the promise of simple access patterns, flexible schemas, scalability, and high availability. The downside comes in the form of losing ACID transactions, consistency, flexible queries, and data integrity checks. What if you could have the best of both worlds? Join this webinar to learn how MySQL …

As of meb-3.12.0, the cloud options take precedence, i.e. specifying any of the "--cloud-*" options makes MEB treat it as a cloud operation.

The backup file name to be used on the cloud is to be specified by a "--cloud-" option. Any value represented by "--backup-image=<value>" is not interpreted by MEB(in case of cloud operations), and the above commands would work correctly as expected.

I agree, this dependency on the unused option of "--backup-image=<value>" can be done away with, if possible and thanks a lot for pointing it.

MySQL Statement Digests are a feature originally introduced as part of the MySQL Performance Schema in MySQL 5.6 to aggregate statement statistics based on the normalized statements executed within the server (for additional info, see here).

Digest calculations are done based on the tokens found in the statement text. The length to which these tokens were considered for the digest calculation was previously fixed at 1024 bytes. Which meant that while reading the tokens, once 1024 bytes were read from statement’s token stream, only that many tokens were considered when generating the …