Website Monitoring NewsLatest posts and articles on website monitoring services.

Two changes this month:
– we gave up publishing the charts in additional PNG format
– “Top 5 web browsers” bar chart has been replace with “Web browsers market share” pie chart.

google top 25 searches in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100874976/” title=”en_insight_4_search_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/f5b21_6100874976_d7b7b50a71_o.gif” width=”500″ height=”510″ alt=”en_insight_4_search_08-2011_gif” />

<a href="http://www.website-monitoring.com/blog/2010/03/17/facebook-facts-and-figures-history-statistics/”>facebook top 25 pages in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100874928/” title=”en_fb_pages_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/6c315_6100874928_89efd6ce6f_o.gif” width=”500″ height=”510″ alt=”en_fb_pages_08-2011_gif” />

<a href="http://www.website-monitoring.com/blog/2010/03/17/facebook-facts-and-figures-history-statistics/”>facebook top 25 apps in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100874862/” title=”en_fb_apps_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/307b0_6100874862_aaed15bf93_o.gif” width=”500″ height=”510″ alt=”en_fb_apps_08-2011_gif” />

<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter 25 most followed in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100328639/” title=”en_<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/bc2c5_6100328639_ef2e0cc263_o.gif” width=”500″ height=”510″ alt=”en_<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter_08-2011_gif” />

Alexa top 25 sites in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100328339/” title=”en_alexa_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/bc2c5_6100328339_2398258456_o.gif” width=”500″ height=”510″ alt=”en_alexa_08-2011_gif” />

Web browsers market share in August 2011

<a href="http://www.flickr.com/photos/website-monitoring/6100874770/” title=”en_browser_08-2011_gif by Website monitoring, on Flickr”><img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/bc2c5_6100874770_96a7438521_o.gif” width=”500″ height=”240″ alt=”en_browser_08-2011_gif” />

All the charts above can be re-published, without modifications,
with active link to www.website-monitoring.com.

<img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/15674_88x31.png” alt=”CC BY-ND” />

<a href="http://www.website-monitoring.com/blog/2011/08/31/what-was-popular-on-the-internet-in-august-2011/” rel=”nofollow”>Go to Source

<img alt="dot com" src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/7eb68_110831-dot-com.png” title=”dot com” class=”alignright” width=”150″ height=”54″ />Remember <a href="http://en.wikipedia.org/wiki/domain_tasting”>domain tasting? At its worst, millions of domain names were yanked up and dropped every day in this rather nasty scheme that abused the five-day “add grace period” for domain registrations. Things were bad, really bad. Back in 2006-2007, a full 94% of domain registrations were the result of domain tasting, only 6% were legitimate, permanent registrations.

domain tasting was largely killed off by some policy changes from ICANN in 2008 (with a final death blow early in 2009), so we thought it was interesting to see this historical chart of .com domain names that actually showed visual evidence of the practice, and when it disappeared.

The chart below shows the number of registered .com domain names over time. We wondered about the jaggedness at first, but quickly realized that what we were seeing was the result of the massive domain tasting that was going on at that time.

<img title="dot com domain names over time” src=”http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/a7d0e_110831-com-over-time.png” border=”0″ alt=”dot com domain names over time” width=”580″ height=”409″ />

The chart is from Registrar Stats (we just added the rectangle to clearly point out the affected time period). Look how jagged that chart is from 2006 to 2008, when domain tasting really got out of hand, and then look how that suddenly stopped in 2008.

Interesting, isn’t it? If we had been able to zoom in, we would have seen even more drastic ups and downs during that period.

And on a side note, judging by that graph it looks like there will soon be more than 100 million registered .com domain names. That’ll be quite a milestone.

Uhm… what is domain tasting again?

Just in case you never heard of it, or forgot, domain tasting was a somewhat shady practice used by some domain registrars (even some major ones), i.e. the companies you register your domain names through.

A loophole allowed registrars to register a domain name at no cost as long as they returned it within five days (the five-day add grace period). They could essentially try out domain names for five days and give them a taste, so to speak. Hence the label “domain tasting.”

Why was this a big deal? Because someone finally decided to do this on a massive scale.

Automated systems “tasted” millions domain names for up to five days, connected them to landing pages full of ads, and looked at how they performed. Some domain names would get enough traffic to warrant keeping them and paying the registration fee, most would be dropped. If nothing else, the registrar got five days of free traffic out of them.

The most affected top-level domain by far was .com. Not so strange, since it’s also by far the most widely used. That’s why the chart above really shows the effect.

More info

For more information and stats about domain tasting, check out this article:

<a href="http://royal.pingdom.com/2010/05/05/the-legacy-of-domain-tasting-380-million-deleted-domain-names/”>The legacy of domain tasting: 380 million deleted domain names

This was a post from the guys at Pingdom, a site monitoring service that makes sure you’re the first to know when your site is down. Check it out for free.

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MySQL is a powerful open-source database.  With more and more database driven applications, people have been pushing MySQL to its limits.  Here are 101 tips for tuning and optimizing your MySQL install.  Some tips are specific to the environment they are installed on, but the concepts are universal.   I have divided them up into several [...]
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Released: August 25, 2011
ManageEngine, makers of a suite of cost-effective network, systems, applications and security management software solutions, today announced advances to help IT management professionals own the cloud — and manage the premises. With IT360, Applications Manager 10.0 and OpManager 9.0, ManageEngine offers an integrated IT management approach that addresses the demands of managing cloud, virtual and physical environments for all IT management professionals — from CIOs to IT managers to system administrators and beyond.
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When you see or listen to talks about energy efficiency of data centers, the things that first pop into your mind are Power Usage Effectiveness (PUE) and Data Center Infrastructure Efficiency (DCIE). Focusing on energy efficiency is critical because, the largest amount of capital spent for any data center is for power. With increasing energy costs, most data center admins have started focusing on optimizing its power usage using PUE and DCIE.

But before they could proceed to do so, it is vital know what their current levels of energy efficiency are. The tools discussed here will shed light on their current energy efficiency levels and with the help of these tools, data center admins will be able to tweak their configuration to reach optimum levels of efficiency. Before going through the tools, here is a quick look into the basics of these two factors.

PUE or Power Usage Effectiveness is calculated by dividing the total facility power (TFP) by total IT equipment power (ITEP).

The typical value of PUE lies between 1.2 and 2.5. The DCIE is inversely proportional to the PUE value.

So if a data center has a PUE of 2.5, then its DCIE would be 40%. What this means is while the data center is dissipating 40% of its power delivered, the rest 60% of energy is dissipated by the IT equipments.

1. APC’s PUE/DCIE Calculator

APC or American Power Corporation’s PUE and DCIE tool is one of the most exhaustive and comprehensive tool to calculate the energy efficiency of a data center. The tool calculates the PUE and DCIE values by taking into account, the power and cooling configuration, total IT load and cost per kWh of the data center. A standard set of parameters for sizing and loss for PDUs, Generator, Switchgear and other equipments is also taken into account while calculating the values.

The tool calculates the PUE and DCIE values instantly and allows the user to take printouts of the result obtained. In addition to the energy efficiency calculator, the APC has an assorted list of tools to calculate data center’s energy efficiency, carbon footprint, virtualization cost, which can be accessed here.

2. PUE and DCIE’s Calculator by 42U

42U is an independent data center consultant company, that has developed an online energy efficiency calculator (PUE and DCIE) for data centers. The tool is quite simple to use. Just enter the IT load, data center total facility load, select the country and state that your data center is currently located and the online tool will automatically calculate the total electricity used per year, the annual power cost and the annual carbon footprint.

It also lists the optimum levels of PUE and DCIE needed for a data center, displayed within the tool for reference. It also provides detailed explanation of these terms and how they should be used to reach those optimum levels. It also has an energy efficiency savings calculator which lets the user set the current PUE levels, desired PUE levels and the total IT load.

3. The Green Grid PUEE

The Green Grid PUEE is developed by a non-profit organization called The Green Grid that is made up of policy-makers, technology providers, facility architects and utility companies collaborating to improve the efficiency of data centers and business computing ecosystems.

This online calculator is one of the best tools available today. It compartmentalizes the data center components into Modules and Core. The Core is a part of the facility and refers to the common infrastructure and IT components shared by all Modules. The Modules then comprise of various IT components such as Compute Devices, Servers, Switches, Routers, etc.

The Core and Module have various ‘Types’ such as Power, HVAC, Physical Security and Building Management Systems. Each ‘Type’ has corresponding ‘Sub-Type’ components. For example, if the ‘Type’ is chosen as ‘Power’, then you get the following ‘Sub-Type’ options:

- Transfer Switches

- UPSs

- DC Batteries / Rectifiers

- Generators

- Transformers

- Power Distribution Units (PDUs)

- Rack Distribution Units (RDUs)

- Breaker Panels

- Distribution Wiring

- Lightning and

- Other

Similarly, it also lets you choose multiple types for a Core and Module. You can then specify the dissipation of the ‘Sub-Type’ component along with the quantity of the equipment used.

A data center administrator can configure the Core and Modules based on their data center setup and it will calculate the overall facility load, IT load, PUE and DCIE. In addition, it will also calculate the individual PUE of each module called as ‘partial PUE (pPUE)’. This value helps in achieving the optimum energy-usage values for a data center. The results can either be emailed or downloaded as PDF or CSV formats.

4. Galileo Connect PUE Calculator

Galileo Connect has developed its own version of PUE / DCIE calculator for data centers. (Note: To access its PUE calculator, you need to register with the website.) This tool probably targets UK data center users, as all the calculations are done in Pence and Pounds. So if you plan on using this tool, you need a handy currency converter.

Also note that it made an assumption that the data center/room is 2000 meters square at 1500 watts per meter square load density. Suppose your data center/room is not of the required specifications, you will have to recalculate the results you get to match your setup. However, the tool is quite easy to use and gives a variety of environmental options such as whether data center uses water cooled chillers, Energy efficient CRACs, Solar Panels, and more.

5. Dimension85 PUE and DCIE Calculator

This online tool is developed by a software consulting company – Dimension85, is the minimalist PUE/DCIE calculator that I have come across so far. There are two fields namely the Total Facility Power (TFP) and the Information Technology Equipment Power (ITEP). Simply enter these values and hit ‘Get your PUE’.

It calculates the values and displays the result instantly. Unfortunately, it does not provide any context to savings or how to improve data center energy efficiency. However, this tool could be used as a quick reference tool when comparing different data centers.

These online energy efficiency calculators are something that every data center administrators should know and use in order for them to keep an eye on their PUE and DCIE values.

If you have come across these calculators or have used similar ones, do share it with our readers in the ‘Comments’ section.
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<img alt="google Chrome” src=”http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/84cd9_110701-google-Chrome1.png” title=”google Chrome” class=”alignright” width=”150″ height=”151″ />In just a couple of years, <a href="http://www.google.com/chrome”>google Chrome has firmly established itself as a web browser to be reckoned with. Where once you spoke of Internet Explorer and Firefox as the two big ones, these days the duo has become a trio. The browser wars are back. Chrome has started to edge out Firefox in some countries, and as you will see in this article, there are actually countries where it’s already become number one.

This is where South America comes into the picture. Nowhere is Chrome more successful than in that part of the world.

Chrome’s popularity by world region

It’s worth noting that when we talk about market share in this article, we mean share of web usage. The data we have is from StatCounter, which is based on visitor stats from more than three million websites.

<img title="google Chrome market share by world region” src=”http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/9e1b6_110825-market-share-chrome.png” border=”0″ alt=”google Chrome market share by world region” width=”580″ height=”250″ />

As made exceedingly obvious by the above chart, Chrome’s popularity in South America is far ahead of the other world regions.

For added perspective, here is the same chart, sorted the same way, but with the market share of Internet Explorer and Firefox added into the mix.

<img title="Web browser market share by region for IE, Firefox and Chrome" src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/4ddee_110825-market-share-ie-ff-chrome.png” border=”0″ alt=”Web browser market share by region for IE, Firefox and Chrome” width=”580″ height=”400″ />

A couple of takeaways:

• Chrome has passed Firefox in South America and is now behind 33.2% of the web usage in that region.
• In all other regions, the order is: IE, Firefox and then last, Chrome. That said, Chrome still has a significant chunk of the market in each region.

Plus a few general observations about IE and Firefox since we have the data right in front of us. We hope you’ll excuse us for this little tangent:

• The two strongest regions for Firefox in terms of market share are Africa and Europe. Interestingly, it’s almost neck-and-neck with Internet Explorer in both.
• For Internet Explorer, the two strongest regions are North America and Asia.
• The weakest region for Internet Explorer in terms of market share is Europe.
• The weakest region for Firefox is South America. Since it’s also Chrome’s strongest, it’s the only region where Chrome beats Firefox.

But this article is mainly about google Chrome and its position in South America, so let’s look into that in more detail.

A closer look at Chrome in South America

As you can guess, Chrome has managed to break into first or second place in a number of South American countries. In fact, the vast majority of them. It’s number one in Argentina, Chile, Colombia and Uruguay, and number two in Brazil, Paraguay, Peru and Venezuela.

Here’s what the division between the top three web browsers looks like in these countries (i.e. in South American countries where Chrome is the second-most or most-used web browser):

<img title="Top South American countries for Chrome in terms of web browser market share" src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/abe72_110825-market-share-ie-ff-chrome-SA.png” border=”0″ alt=”Top South American countries for Chrome in terms of web browser market share” width=”580″ height=”415″ />

Just like the other charts, this one was sorted by Chrome’s market share, largest at the top.

Now on to the obvious question…

Why South America?

That is an interesting question, isn’t it? Is google’s brand and influence stronger in these countries, or are there other forces at play?

To be honest, we’re not sure why Chrome is so successful in South America, but maybe some readers with more insight into that region would like to chime in in the comments?

This was a post from the guys at Pingdom, a site monitoring service that makes sure you’re the first to know when your site is down. Check it out for free.

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Part 1: <a href="http://www.ezwebsitemonitoring.com/blog/php-benchmark-memcached-with-pecl-memcache-php-memcached-redis-with-predis-rediska”>PHP Benchmark – Memcached with pecl-memcache & php-memcached , redis with Predis & Rediska Part 1

Please read Part 1 for my explanation of what I am trying to do, and why I am testing these out. It is good to note that libredis performed almost identical to pecl-memcache when running 10 concurrent connections (each request puts 5 keys and gets those 5 keys back)

wget http://127.0.0.1/path/to/benchmark

1 connection pecl-memcache 10000 sets/gets
set: 0.6813(s)
get: 0.6937(s)

1 connection php-memcached 10000 sets/gets
set: 0.6988(s)
get: 0.7722(s)

1 connection libredis 10000 sets/gets
set: 0.8227(s)
get: 0.7697(s)

1 connection predis 10000 sets/gets
set: 2.2110(s)
get: 1.0792(s)

1 connection rediska 10000 sets/gets
set: 5.0501(s)
get: 3.3987(s)

—————————————
ab -c 10 -t 10 http://127.0.0.1/path/to/benchmark

10 concurrent connections pecl-memcache – 5 sets/gets per request
Complete requests: 4402
Requests per second: 440.14 [#/sec] (mean)

10 concurrent connections libredis – 5 sets/gets per request
Complete requests: 4754
Requests per second: 475.35 [#/sec] (mean)

10 concurrent connections predis – 5 sets/gets per request
Complete requests: 2179
Requests per second: 216.43 [#/sec] (mean)

10 concurrent connections php-memcached – 5 sets/gets per request
Complete requests: 2200
Requests per second: 204.78 [#/sec] (mean)

10 concurrent connections rediska – 5 sets/gets per request
Complete requests: 1678
Requests per second: 167.76 [#/sec] (mean)
—————————————
nginx/0.8.36 PHP print “hello” (php-fpm latest SVN, PHP 5.3.2)

ab -kc 100 -n 10000 http://127.0.0.1/dummy.php 100 concurrent keepalive connections
Requests per second: 1781.36 [#/sec] (mean)

ab -n 100000 -kc 10000 http://127.0.0.1/dummy.php 10,000 concurrent keepalive connections
Requests per second: 1559.65 [#/sec] (mean)

b -n 100000 -kc 10000 http://127.0.0.1/dummy.php 10,000 concurrent NON-keepalive connections
Requests per second: 1416.88 [#/sec] (mean)

—————————————
ab -kc 100 -n 30000 http://127.0.0.1/404.html

nginx 404.html – 100 concurrent keepalive connections
Requests per second: 15954.15 [#/sec] (mean)

<img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/18978_aEecJUPfBpE” height=”1″ width=”1″ />
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Part 2: <a href="http://www.ezwebsitemonitoring.com/blog/php-benchmark-memcached-with-pecl-memcache-php-memcached-redis-with-predis-rediska-part-2″>View Part 2

Update: 04/27/2010 – Scroll to bottom for benchmark which includes the almost unknown Libredis library for PHP.

I am new to using key-value memory caches, so today I decided to run some tests. I’ve searched the web quite a bit today (ok.. a LOT) and found some old benchmarks, but I wanted to run some modern benchmarks on the latest versions and see how it worked for my needs.

$expire = 120;

$key = md5($query);

$begin = microtime(true);

for ($i=0;$i<10000;$i++)
{
    $this->_server->set($key.$i,$value,$expire); // different for different libraries, but you get the idea
}

$taken = microtime(true) - $begin;
$taken = number_format($taken,4);
print "set: $taken(s)<br />";

$begin = microtime(true);
for ($i=0;$i<10000;$i++)
{
    $this->_server->get($key.$i); // different for different libraries, but you get the idea
}

$taken = microtime(true) - $begin;
$taken = number_format($taken,4);
print "get: $taken(s)<br />";

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Bing has just announced on their community search blog <a href="http://www.bing.com/community/blogs/search/archive/2009/10/21/bing-is-bringing-<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter-search-to-you.aspx”>here that they now have real-time access to the entire public <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter feed.

Here is an excerpt from their announcement:

We’re glad you asked that. Because today at Web 2.0 we announced that working with those clever birds over at <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter, we now have access to the entire public <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter feed and have a beta of Bing <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter search for you to play with (in the US, for now). <a href="http://www.bing.com/<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter” target=”_blank”>Try it out. The Bing and <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter teams want to know what you think.

Now.. this all sounds great, except for the fact is at the time of writing this blog post, the <a href="http://www.bing.com/<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter“>link to their <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter search (bing.com/<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter) is 404.

Update – Bing <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter Search went live (from 404) about 15 minutes after this post was published!

I don’t see anything odd about this day being April Fool’s or anything, so I am assuming they are working on that page as I am writing this article (or that post got published sooner than it should have on Bing’s Search Blog).

Let me know what you think <img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/7f17a_icon_smile.gif” alt=”icon smile Bing announces search for <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter feeds” class=”wp-smiley” title=”Bing announces search for <a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter feeds” />

<img src="http://www.website-monitoring.eu/wp-content/plugins/wp-o-matic/cache/7f17a_q7WNIleutkU” height=”1″ width=”1″ />
<a href="http://ezwebsitemonitoring.com/blog/bing-announces-search-for-<a href="http://www.website-monitoring.com/blog/2010/05/04/twitter-facts-and-figures-history-statistics/”>twitter-feeds/” rel=”nofollow”>Go to Source

Well.. today is a good day!

I thought my first informative post should be a good one, so here goes.

It may not be the biggest list, but they are verified by me as having dofollow comments, a good amount of content, and a decent mozRank, which usually means a decent PageRank.

I decided not to list PageRank, since I much prefer the mozRank floating point numbers, but if someone wants to go through and provide the PageRank info, I will update it.

I’ll also throw in some other sites that provide more lists, no guarantees, but I believe in sharing, so here they are:

http://buckdat.blogspot.com/2009/10/effective-link-building-galore-unique.html

http://niceblogger.com/2009/08/21/dofollow-list/

http://www.seotrafficgenerator.com/website-seo/high-pr-do-follow-blogs-list/2009/09/07/

<a href="http://www.clickonf5.org/google/dofollow-blogs-google-reader/4570″>http://www.clickonf5.org/google/dofollow-blogs-google-reader/4570

If anyone has any more to add to the list, just let me know via comment!

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