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Displaying posts with tag: cloud (reset)
Q&A: High availability when using MySQL in the cloud

Last week I hosted a webinar on using MySQL in the cloud for High Availability (HA) alongside 451 Research analyst Jason Stamper. You can watch the recording and also download the slides (free) here. Just click the “Register” button at the end of that page.

We had several excellent questions and we didn’t have time to get to several of them in the allotted time. I’m posting them here along with the answers. Feel free to ask follow-up questions in the comments below.

Q: Can the TokuDB engine be used in a PXC environment?

A: No, TokuDB cannot currently be used in a PXC environment, the only supported engine in …

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Percona Live Europe 2015! Call for speakers; registration open

Percona Live is moving from London to Amsterdam this year and the event is also expanding to three full days. Percona Live Europe 2015, September 21-23, will be at the Mövenpick Hotel Amsterdam City Centre. The call for speakers and Super Saver registration are now open. Hurry though because the deadline for submitting a speaking proposal is June 21st and Super Saver registration ends July 5th!

This year’s conference will feature one day of tutorials and two days of keynote talks and breakout …

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Licensing Oracle in a public cloud: the CPU calculation impact

First of all a disclaimer: I don’t work for Oracle nor do I speak for them. I believe this information to be correct, but for licensing questions, Oracle themselves have the final word.

With that out of the way, followers of this blog may have seen some of the results from my testing of actual CPU capacity with public clouds like Amazon Web Services, Microsoft Azure, and Google Compute Engine. In each of these cases, a CPU “core” was actually measured to be equivalent to an x86 HyperThread, or half a physical core. So when provisioning public cloud resources, it’s important to include twice as many CPU cores as the equivalent …

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Scaling MySQL in the cloud with Vitess and Kubernetes

Cross-posted on Google Cloud Platform Blog.

Your new website is growing exponentially. After a few rounds of high fives, you start scaling to meet this unexpected demand. While you can always add more front-end servers, eventually your database becomes a bottleneck, which leads you to . . .

  • Add more replicas for better read throughput and data durability
  • Introduce sharding to scale your write throughput and let your data set grow beyond a single machine
  • Create separate replica pools for batch jobs and backups, to isolate them from live traffic
  • Clone the whole deployment into multiple datacenters worldwide for disaster recovery and lower latency


At YouTube, we went on that  …

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Scaling MySQL in the cloud with Vitess and Kubernetes

Cross-posted on Google Cloud Platform Blog. Your new website is growing exponentially. After a few rounds of high fives, you start scaling to meet this unexpected demand. While you can always add more front-end servers, eventually your database becomes a bottleneck, which leads you to... Add more replicas for better read throughput and data durability Introduce sharding to scale your write throughput and let your data set grow beyond a single machine Create separate replica pools for batch jobs and backups, to isolate them from live traffic Clone the whole deployment into multiple datacenters worldwide for disaster recovery and lower latency At YouTube, we went on thatjourney as we scaled our MySQL deployment, which today handles the metadata for billions of daily video views and 300 hours of new video uploads per minute.

Distributing innodb tables made simpler!

With the support for cloud backups in MEB, distributing innodb tables across multiple MySQL instances has become easier.

1. Backup - take a cloud(Amazon S3) backup of the tables to be shared using the --use-tts=with-full-locking option.

./mysqlbackup \
--host=localhost --user=mysqluser --protocol=TCP --port=3306 \
--cloud-service=s3 --cloud-aws-region=us-east-1 \
--cloud-bucket=mebbackup –cloud-object-key=items.img \
--cloud-access-key-id=<access-key> --cloud-secret-access-key=<secret-key> \
--include-tables=^mycompany\.items.* --use-tts=with-full-locking \
--backup-dir=/tmp/bkups/backupdir --compress --backup-image=- …

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Increasing Cloud Database Efficiency – Like Crows in a Closet

In Mo’ Data, Mo’ Problems, we explored the paradox that “Big Data” projects pose to organizations and how Tokutek is taking an innovative approach to solving those problems. In this post, we’re going to talk about another hot topic in IT, “The Cloud,” and how enterprises undertaking Cloud efforts often struggle with idea of “problem trading.” Also, for some reason, databases are just given a pass as traditionally “noisy neighbors” and that there is nothing that can be done about it. Lets take a look at why we disagree.

With the birth of the information age came a coupling of business and IT. Increasingly strategic business projects and objectives were reliant on information infrastructure to provide information storage and retrieval instead of paper and filing cabinets. This was the dawn of the database and what gave rise to companies like Oracle, Sybase and MySQL. With the appearance of true Enterprise Grade …

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How to Deploy High Availability CloudStack/CloudPlatform with MariaDB Galera Cluster

Apache CloudStack is a turnkey orchestration platform to deliver IaaS clouds. As a cloud infrastructure scales to hundreds or thousands of servers, with production environments supporting multiple applications and services, high availability becomes a key requirement. Just as for OpenStack, it is possible to deploy the CloudStack management server in a multi-node installation. Since the management server uses a MySQL database to store the state of all its objects, the database could become a single point of failure. The CloudStack manual recommends MySQL replication with manual failover in the event of database loss. We believe there is a better way.

In this blog post, we’ll show you how to deploy redundant CloudStack management servers with …

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Fractal Tree Greatness: The Nexus

In my recent travels, I’ve been speaking with database users at various meetups and trade shows worldwide. Very often, I got questions centering around the best use cases for our products, be it TokuDB, our MySQL storage engine, or, TokuMX, our distribution of MongoDB. Over 90% of the time, I responded Cloud, Big Data or both. You see, in the software industry we’re like kindergartners, we like things to fit into neat categories. If you know any software sales people, you’ll recognize this as a fitting analogy (at least in terms of energy and attention span), but I digress. This strategy helps allocate resources where they are most likely to make an impact, and, thus, optimize our return on investment. In this blog series, I’m going to go slightly against the grain and explain why the Fractal Tree makes databases work in these environments.

 

Before I get into more detail, let me …

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New Webinar: A DevOps Guide to Database Infrastructure Automation for eCommerce

For an online shop, the website is the cash register. It has to be open for business 24 hours a day.

As the ops person on duty, when you get a call at 3am after your website went down, your priority number one is to restore the service asap. But why can we not have our application stack automatically recover, and not have the pager wake us at all? Why do we still stick to tedious manual processes, which take up time and resources, and hinder future growth?

Infrastructure automation isn’t easy, but it’s not rocket science either, says Riaan Nolan. Riaan has been in operations for the past decade, and has built over a dozen eCommerce properties. Automation is a worthwhile investment for retailers serious about eCommerce, but deciding on which tools to invest in can be a confusing and overwhelming process.

Join us for this webinar to understand the key pain points that online retailers experience which indicate it’s time …

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