Large-Scale Web Site Infrastructure and Drupal
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Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
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How to Build an Optimal Hadoop Cluster to Store and Maintain Unlimited Amounts of Data Using Microservers
Realizing the promise of Apache® Hadoop® requires the effective deployment of compute, memory, storage and networking to achieve optimal results. With its flexibility and multitude of options, it is easy to over or under provision the server infrastructure, resulting in poor performance and high TCO. Join us for an in depth, technical discussion with industry experts from leading Hadoop and server companies who will provide insights into the key considerations for designing and deploying an optimal Hadoop cluster.
Some of key questions to be discussed are:
- What is the “typical” Hadoop cluster and what should be installed on the different machine types?
- Why should you consider the typical workload patterns when making your hardware decisions?
- Are all microservers created equal for Hadoop deployments?
- How do I plan for expansion if I require more compute, memory, storage or networking?
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Comments
Grammy.com Numbers
Well since everyone else is throwing their business pitches in here...
The approach described in this article essentially replicates how Lullabot (the authors of this article) scaled grammy.com to 213 million page views within a single day. Most of those over a 6 hour window during the 52nd awards show. In those same 6 hours, we registered 50,000 new user accounts. Amazingly, we couldn't even measure the full potential of the set up because our hosting providers load-testing cluster couldn't send requests fast enough to bring the site down.
Slides and configuration files of this setup were presented at DrupalCamp Colorado.
or you could simply contact
or you could simply contact an expert drupal support and Maintenance firm like Halosys technologies.
table locks
For this advice to be applicable, the table would need to be undergoing more writes than reads. How many tables are like this? Not many. Watchdog is the only one that I can think of, and if that is seeing that many writes you have bigger problems.
I instead advise changing _all_ tables to InnoDB. This allows you to tune MySQL only for InnoDB, reducing the MyISAM-only buffers to near-zero (the information_schema and mysql databases still use MyISAM, so you can't completely disable it). This also reduces complexity to only be worried about one engine. The only time this does not apply is when the server has limited RAM, as a well-tunned InnoDB server requires more RAM than a well-tuned MyISAM server.
Drupal can scale to millions of page views a day
There are many ways to scale Drupal.
At 2bits.com, we prefer simpler ways without added complexity both at the code level and the infrastructure level.
Here is a presentation on 3.4 million page views a day, 92 million page views a month, one server and Drupal.
Mercury
If you are looking for a high performance Drupal setup then you should also look into project Mercury from http://getpantheon.com/