In this blog post, we talk about how to run applications across multiple clouds (i.e. AWS, Google Cloud, Microsoft Azure) using Continuent Clustering. You want your business-critical applications to withstand node, datacenter, availability-zone or regional failures. For SaaS apps, you also want to bring data close to your application users for faster response times and a better user experience. With cross-cloud capability, Continuent also helps avoid lock-in to any particular cloud provider.

The key to success for the database layer is to be available and respond rapidly.

From both a business and operational perspective, spreading the application across cloud environments from different vendors provides significant protection against vendor-specific outages and vendor lock-in. Running on multiple platforms provides greater …

Please join Percona’s Architect, Tibi Köröcz as he presents Utilizing ProxySQL for Connection Pooling in PHP on Tuesday August 14, 2018, at 8:00 am PDT (UTC-7) / 11:00 am EDT (UTC-4).

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ProxySQL is a very powerful tool, with extended capabilities. This presentation will demonstrate how to use ProxySQL to gain functionality (seamless database backend switch) and correct problems (applications missing connection pooling).

The presentation will be a real-life study on how we use ProxySQL for connection pooling, database failover and load balancing the communication between our (third party) PHP-application and our master-master MySQL-cluster.
Also, we will …

Recently one of our customers wanted us to benchmark InnoDB, TokuDB and RocksDB on Intel(R) Xeon(R) Gold 6140 CPU (with 72 CPUs),  nvme SSD (7 TB) and  530 GB RAM for performance. We have used Ubuntu xenial 16.04.4, Percona Server 5.7 (included storage engines- InnoDB/XtraDB, TokuDB and RocksDB) and  Sysbench 1.0.15 with custom Lua scripts for this exercise, This benchmarking exercise included bulk INSERTS, WRITES, READS and READS-WRITES. We have tried our best to capture maximum information about the hardware infrastructure and copied / shared scripts we have used for benchmarking. This is not a paid / sponsored benchmarking effort by any of the software or hardware vendors, We will remain forever an vendor neutral and independent web-scale database infrastructure operations company with core expertise in performance, scalability, high availability and database reliability engineering. This benchmarking is …

A good news for all PHP CMS users like Drupal and Joomla!, PHP 7.2.8 (available on Remi’s repo for those using rpms) supports the new MySQL 8.0 default authentication plugin ‘caching_sha2_password‘ !

So, I’ve installed PHP 7.2.8:

And I’ve my user (here joomla) uses the …

As other CMS using MySQL and PHP, Joomla! is not yet 100% ready to work with MySQL 8.0 out of the box.

I’ve been contacted by Brian Teeman to give my opinion and some tips… so here is the blog post

@lefred If you could offer some advice on this #joomla #mysql 8 issue it would be appreciated https://t.co/FS37GVunEO

— ((( Brian Teeman ))) (@brianteeman) …

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The Performance Schema and sys schema are great for investigating what is going on in MySQL including investigating performance issues. In my work in MySQL Support, I have a several times heard questions whether a peak in the InnoDB Data File I/O – Latency graph in MySQL Enterprise Monitor (MEM) or some values from the corresponding tables and view in the Performance Schema and sys schema are cause for concern. This blog will discuss what these observations means and how to use them.

The Tables and Views Involved

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From driver and rider locations and destinations, to restaurant orders and payment transactions, every interaction on Uber’s transportation platform is driven by data. Data powers Uber’s global marketplace, enabling more reliable and seamless user experiences across our products for riders, …

The post Databook: Turning Big Data into Knowledge with Metadata at Uber appeared first on Uber Engineering Blog.

Join Percona Chief Evangelist Colin Charles as he covers happenings, gives pointers and provides musings on the open source database community.

Don’t wait, submit a talk for Percona Live Europe 2018 to be held in Frankfurt 5-7 November 2018. The call for proposals is ending soon, there is a committee being created, and it is a great conference to speak at, with a new city to boot!

Releases

• A big release, MySQL 8.0.12, with INSTANT ADD COLUMN support, BLOB optimisations, changes around replication, the query rewrite plugin and lots more. Naturally this also means the connectors get bumped up to the 8.0.12, including a nice new …

Did you know that Continuent Clustering supports having clusters at multiple sites world-wide with either active-active or active-passive replication meshing them together?

Not only that, but we support a flexible hybrid model that allows for a blended architecture using any combination of node types. So mix-and-match your highly available database layer on bare metal, Amazon Web Services (AWS), Azure, Google Cloud, VMware, etc.

In this article we will discuss using the Active/Passive model to scale reads worldwide.

The model is simple: select one site as the Primary where all writes will happen. The rest of the sites will pull events as quickly as possible over the WAN and make the data available to all local clients. This means your application gets the best of both worlds:

• Simple deployment with no application changes needed. All writes …

I studied some macroeconomics in school.  I’m still interested in it 20 years hence.  I was recently in a discussion about query optimization and how to prioritize what to fix first.  My pen and paper started graphing things, and here we are with an abstract thought.  Bear with me.  This is for entertainment purposes, mostly, but may actually have a small amount of value in your thought processes around optimizing queries.  This is a riff on various supply, demand graphs from macroeconomics.

In the graph below:

• Axes:
  • Vertical: number of distinct problem queries
  • Horizontal: Database “query load capacity” gains (from optimization)
• Lines:
  • LIRQ (long and/or infrequently run queries)
  • SFRQ (short, frequently run queries)
  • AC: Absolute capacity (the point at which …