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Showing entries 1 to 12

Displaying posts with tag: redis (reset)

What technologies are you running alongside MySQL?
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In many environments MySQL is not the only technology used to store in-process data.

Quite frequently, especially with large-scale or complicated applications, we use MySQL alongside other technologies for certain tasks of reporting, caching as well as main data-store for portions of application.

What technologies for data storage and processing do you use alongside MySQL in your environment? Please feel free to elaborate in the comments about your use case and experiences!

Note: There is a poll embedded within this post, please visit the site to participate in this post's poll.

The post

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Tech Messages | 2013-03-10
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A special extended edition of Tech Messages for 2013-03-07 through 2013-03-10:

The Data Day, Two days: February 13/14 2013
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TempoDB’s timely DBaaS for the Internet of Things. ScaleBase 2.0. And more

For 451 Research clients: TempoDB has timely database service for the Internet of Things bit.ly/YcQuqA

— Matt Aslett (@maslett) February 13, 2013

For 451 Research clients: ScaleBase provides centralized management of distributed MySQL databases bit.ly/YcQTcs

— Matt Aslett (@maslett) February 13, 2013

For 451 Research clients: XtremeData turns its attention to cloud-based data warehousing bit.ly/XB7MLY

— Matt Aslett (@maslett)

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Our 2013 Database survey is now live
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451 Research’s 2013 Database survey is now live at http://bit.ly/451db13 investigating the current use of database technologies, including MySQL, NoSQL and NewSQL, as well as traditional relation and non-relational databases.

The aim of this survey is to identify trends in database usage, as well as changing attitudes to MySQL following its acquisition by Oracle, and the competitive dynamic between MySQL and other databases, including NoSQL and NewSQL technologies.

There are just 15 questions to answer, spread over five pages, and the entire survey should take less than ten minutes to complete.

All individual responses are of course

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Developer-Driven Databases
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Even though I have come late to the party of professional development, relatively speaking, I am acutely aware of the conflict that seems to pervade the developer-DBA relationship. This is what I gather about why this is: DBAs used to be paid better that developers, and often this was because they were able to reduce the overall license and hardware costs of large database installations. Both the size and proprietary nature of databases made them incredibly expensive, so paying an individual gobs of money to make sure they ran efficiently and that the data was preserved was worth it.

Several trends have changed the playing field. The first is the arrival of small, commodity server hardware that makes mainframes or large servers unnecessary, and thus the cost is pushed down dramatically for most

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451 CAOS Links 2011.11.18
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Rapid7 secures new funding. Microsoft drops Dryad. And more.

# Rapid7 secured $50m in series C funding.

# Microsoft confirmed that it is ditching its Dryad project in favour of Apache Hadoop.

# Arun Murthy provided more details of Apache Hadop 0.23.

# The Google Plugin for Eclipse and GWT Designer projects are now fully open source.

# openSUSE released version 12.1.

# Amazon

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NoSQL is What?
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I found myself reading NoSQL is a Premature Optimization a few minutes ago and threw up in my mouth a little. That article is so far off base that I’m not even sure where to start, so I guess I’ll go in order.

In fact, I would argue that starting with NoSQL because you think you might someday have enough traffic and scale to warrant it is a premature optimization, and as such, should be avoided by smaller and even medium sized organizations.  You will have plenty of time to switch to NoSQL as and if it becomes helpful.  Until that time, NoSQL is an expensive distraction you don’t need.

Uhm… WHAT?!

I’ve spent more than a few years using MySQL and have been using some NoSQL systems for the last year or so in a fairly busy environment. And

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Version 1.1.7 of Better Cacti Templates released
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I’ve released version 1.1.7 of the Better Cacti Templates project. This release includes a bunch of bug fixes, some new graphs for MySQL, and two new sets of graphs, for Redis graphing and for JMX graphing.

There are upgrade instructions on the project wiki for this and all releases. There is also a comprehensive tutorial on how to create your own graphs and templates with this project. Use the project issue tracker to view and report issues, and use the project mailing list to

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451 CAOS Links 2010.04.13
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600 new customers for SugarCRM. James Gosling leaves Oracle. And more.

Follow 451 CAOS Links live @caostheory on Twitter and Identi.ca
“Tracking the open source news wires, so you don’t have to.”

# SugarCRM added nearly 600 customers in the first quarter of 2010.

# James Gosling resigned from Oracle.

# VMware’s SpringSource acquired Rabbit Technologies and its RabbitMQ messaging software.

# EnterpriseDB hired Sun’s former MySQL VP Karen Tegan Padir as vice president of products and marketing.

# Xen.org


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Liveblogging at Confoo: Blending NoSQL and SQL
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Persistence Smoothie: Blending NoSQL and SQL – see user feedback and comments at http://joind.in/talk/view/1332.

Michael Bleigh from Intridea, high-end Ruby and Ruby on Rails consultants, build apps from start to finish, making it scalable. He’s written a lot of stuff, available at http://github.com/intridea. @mbleigh on twitter

NoSQL is a new way to think about persistence. Most NoSQL systems are not ACID compliant (Atomicity, Consistency, Isolation, Durability).

Generally, most NoSQL systems have:

  • Denormalization
  • Eventual Consistency
  • Schema-Free
  • Horizontal Scale

NoSQL tries to scale (more) simply, it is starting to go







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Redis, Memcached, Tokyo Tyrant and MySQL comparision
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I wanted to compare the following DBs, NoSQLs and caching solutions for speed and connections. Tested the following

My test had the following criteria

  • 2 client boxes
  • All clients connecting to the server using Python
  • Used Python's threads to create concurrency
  • Each thread made 10,000 open-close connections to the server
  • The server was
    • Intel(R) Pentium(R) D CPU 3.00GHz
    • Fedora 10 32bit
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Observations on key-value databases
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Key-value databases are catching fire these days. Memcached, Redis, Cassandra, Keyspace, Tokyo Tyrant, and a handful of others are surging in popularity, judging by the contents of my feed reader.

I find a number of things interesting about these tools.

  • There are many more of them than open-source traditional relational databases. (edit: I mean that there are many options that all seem similar to each other, instead of 3 or 4 standing out as the giants.)
  • It seems that a lot of people are simultaneously inventing solutions to their problems in private without being aware of each other, then open-sourcing the results. That points to a sudden sea change in architectures. Tipping points tend to be abrupt, which would explain isolated redundant development.
  • Many of the products are feature-rich with things programmers need: diverse
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Showing entries 1 to 12

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