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Displaying posts with tag: cloud (reset)
Voting for talks at the Percona Live Data Performance Conference 2016

So this year the Percona Live conference has a new name — it is the “Data Performance Conference” (presumably for a much broader appeal and the fact that Percona is now in the MongoDB world as well). And the next new thing to note? You have to go through a process of “community voting”, i.e. the speaker has to promote their talks before via their own channels to see how many votes they can get (we tried this before at the MySQL & Friends Devroom at FOSDEM; in this case, please remember you also need to create a new account and actually vote while logged in).

I hope you vote for Sergei, Monty and my proposals!

  1. Using and Managing MariaDB – a tutorial, …
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Rackspace Cloud High Availability Databases for MariaDB, MySQL, Percona Server

Continuing on with the cloud theme, I think its worth noting that since mid-2014, Rackspace has offered MariaDB (as well as MySQL and Percona Server) in the cloud, as part of their Cloud Databases offering. It’s powered by OpenStack.

Now there is an additional “High Availability instance” being offered — this gives you up to two replicas per database instance, you have the ability to load balance reads across all replicas (pretty standard), but the cool thing to try out: failover is automatic. …

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Sunsetting HPCloud, whom contributed to making MySQL better

Recently at Percona Live Amsterdam I gave a talk titled Databases in the Hosted Cloud (I’m told I got a 4/5 rating for this talk). It was before AWS re:Invent, so obviously some of the details in the talk have changed. For one, now there is also Amazon RDS for MariaDB. But there has also been other changes, i.e. HP’s Public Cloud (HP Helion Public Cloud) will sunset January 31 2016.



That’s a slide from my deck. I basically have to …

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Cloud Native MySQL Sharding with Vitess and Kubernetes

Cross-posted on Google Cloud Platform Blog.

Cloud native technologies like Kubernetes help you compose scalable services out of a sea of small logical units. In our last post, we introduced Vitess (an open-source project that powers YouTube's main database) as a way of turning MySQL into a scalable Kubernetes application. Our goal was to make scaling your persistent datastore in Kubernetes as simple as scaling stateless app servers - just run a single command to launch more …

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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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Log Buffer #439: A Carnival of the Vanities for DBAs

This Log Buffer Edition covers some nifty blog posts from Oracle, SQL Server and MySQL.


Oracle:

  • Real Application Testing report On Premise vs. Oracle Public Cloud
  • Foreign Keys and Library Cache Locks
  • IN/EXISTS bugs by Jonathan Lewis.
  • Creating a trace file from EM12c is quite easy and doesn’t require a DBA offering up the world to allow a developer or support person to perform this action.
  • Oracle …
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Amazon RDS Migration Tool

Amazon has just released their RDS Migration Tool, and Pythian has recently undertaken training to use for our clients. I wanted to share my initial thoughts on the tool, give some background on its internals, and provide a walk-through on the functionality it will be most commonly used for.

There are many factors to consider when evaluating cloud service providers, including cost, performance, and high availability and disaster recovery options. One of the most critical and overlooked elements of any cloud offering though, is the ease of migration. Often, weeks are spent evaluating all of the options only to discover after the choice is made that it will take hours of expensive downtime to complete the migration, and that there is no good rollback option in the case of failure.

In order to reduce the friction inherent in the move to a DBaaS offering, Amazon has developed an RDS Migration tool. This is an in-depth look at this new …

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Log Buffer #435: A Carnival of the Vanities for DBAs

Sun of database technologies is shining through the cloud technology. Oracle, SQL Server, MySQL and various other databases are bringing forth some nifty offerings and this Log Buffer Edition covers some of them.

Oracle:

  • How to create your own Oracle database merge patch.
  • Finally the work of a database designer will be recognized! Oracle has announced the Oracle Database Developer Choice Awards.
  • Oracle Documents Cloud Service R4: Why You Should Seriously Consider It for Your Enterprise.
  • Mixing Servers in a Server …
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Webinar-on-demand: Learn how to add HA and DR to MySQL operating on-prem and in VMware's vCloud Air public cloud

Learn how VMware Continuent adds HA, DR and real-time data warehouse loading to off-the-shelf MySQL operating on-prem and in VMware vCloud Air public cloud. 

We introduce vCloud Air basics, then do a deep dive into the VMware Continuent system architecture covering important issues like fail-over, zero-downtime maintenance, and load scaling. We will conclude with a demonstration of using

MySQL performance optimization: 50% more work with 60% less latency variance

When I joined Pinterest, my first three weeks were spent in Base Camp, where the newest engineering hires work on real production issues across the entire software stack. In Base Camp, we learn how Pinterest is built by building it, and it’s not uncommon to be pushing code and making meaningful contributions within just a few days. At Pinterest, newly hired engineers have the flexibility to choose which team they’ll join, and working on different parts of the code as part of the Base Camp experience can help with this decision. Base Campers typically work on a variety of tasks, but my project was a deep dive into a MySQL performance optimization project.

Pinterest, MySQL and AWS, oh my!

We work with MySQL running entirely inside Amazon Web Services (AWS). Despite using fairly high-powered instance types with RAID-0 SSDs and a fairly simple workload (many point selects by PK or simple ranges) that peaks around 2,000 …

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