Article also suggests that growing number of tech news sites is another reason that Slashdot Effect is diminishing. Value isn’t ain’t shown.
Tip of Apache is to divide available quantity of memory for Apache by quantity of memory used in Top by a single Apache thread.
Our Apache thread uses between to’1620MB’ per thread. 1024 MB reserved for Apache / 20MB per Apache thread ~ 50 MaxClients. Remember, it seems we need to reduce the amount of MaxClients from 150 to 50 for our Apache configuration. Setting this value in the course of the peak response time went sky high, as already seen in graph above.
Result is perfect storm completely overloading web server.
Now, an explanation gonna be that at identical time, Europeans take a lunch break and east coast of USA awakens. Impact of Slashdot effect is clearly visible in response time of web server. Then again, look, there’s an ideal document about Apache Performance Tuning on website of Apache. Generally, amongst to first tips is to check MaxClients option. Our Apache webserver isn’t tuned for performance. I am sure that the current setting is Setting this value must result in error in tolog. So, that’s a first step we can take. With all that said… Therefore the Slashdot Effect can be perceived when any large Web site posts a high interest, widely publicized story about another site. Then the effect is obviously a lot more noticeable on smaller sites and surge in traffic sometimes will slow a site down or make it impossible to reach. Therefore, increasingly about any technologyrelated subject, effect gets its name from Slashdot Web site, a discussion forum originally about Linux and related software.
Accordingly the Slashdot Effect is tosudden, relatively temporary surge in traffic to a Web site that occurs when a high traffic Web site and akin source posts a story that refers visitors to another Web site.
Response time of website is monitored by a global monitoring network service of Pingdom.
Notification is send when server is unavailable. With an interval of 5 minutes response time of website is measured from different locations. That’s interesting. They have probe servers which are located in toUSA, Canada, UK, Sweden and France. Therefore this should not be tobottleneck. In the course of the peak we got 2320 visitors per hour. Then, this calculates back to 590 KB/s of continuous traffic. With 914 KB, webpage is quite large. So this generates 914 KB x 2320 = 2 GB per hour of data traffic. Looking at details reveals that user processes is only taking 30percent CPU usage and processor is still 16 dot 4 idle. Server load snapshot taken at 08 dot 35AM is a clear indicator server is overloaded. ‘auto scaling’ will stop most of to running instances, when load drops again as visitors are gone.
So this makes sense, as with Amazon EC2, you only pay for running instances per hour.
This makes it possible to start / stop instances on the basis of load of a number of instances using a voting mechanism.
With that said, this could be very effective for surviving slashdot effect. So loadbalancer will balance load over running web server instances. There’s a lot more information about it here. ‘auto scaling’ could start up more instances to handle increased load, when there’s a huge peak in visitors. Gether with announcement of Amazon for their loadbalancer solution they announced a feature called auto scaling. At 08 dot 35AM server load was already increased to 27, a clear indication that server is already overloaded.
Whenever using Linux p command, is all about 3 during normal traffic, whenever first group of visitors came to towebsite. With that said, this instance has 7 memory GB, 1 EC2 Compute Unit, 160 GB of instance storage, ’32 bit’ platform. One EC2 Compute Unit provides equivalent CPU capacity of a 02 GHz 2007 Opteron or 2007 Xeon processor. Instance is running in us east 1b datacenter of Amazon. Did you know that the OliNo website is using a small instance type. So that’s a cool article and I have posted a link to my twitter account. You can take a glance at my very own ol CloudBerry Explorer that helps to manage S3 and CloudFront.
I will also refer my customers to your AWS experience. Undoubtedly it’s a freeware. Let start a civilization which provides for its energy using renewable energy. And so it’s a combination of two Catalan words.Oli and No. Our organisation will contribute to reach this goal. We found an appropriate name for our organisation, OliNo, that is a word joke for No Oil! Gether they mean Oil No! Theoretically this cache module most possibly will handle this smoothly. Just think for a moment. I had already done tests with it and it seems to improve performance significantly when reloading really similar page multiple times. Considering above said. We never had tested it under Slashdot effect conditions, where thousands of users simultaneous need to access similar webpage on towebsite.
We use WordPress as blogging software.
We use WP Super Cache plugin.
Is it allowed and does it work?
Another option we can use it so disable access logging.
Intention to do this.
We can save few processor cycles by disabling it. Needless to say, this can take up valuable time it’s just a case of writing information because, even if Apache keeps log files open. In our case we do not use access log. Error logging will still be enabled. On p of this, writing log information is a time consuming process. Content is delivered with p possible performance, requests for your objects are automatically routed to nearest edge location.
Amazon CloudFront delivers your content using a global network of edge locations.
Some digging on internet shows that using Amazon Cloudfront will double bandwidth costs for your website.
To be able to handle a bigger load on webserver one could start using multiple instances.
Until time comes when Amazon will offer a load balancing service in their EC2 environment, people are forced to use a softwarebased load balancing solution.
Effectively quadrupling current cost price of using a single EC2 instance. Certainly, web traffic may be load balanced over two web servers. Let me tell you something. Besides, the next step might be running two small instances with apache webserver with wordpress and a third instance with MySQL. Then, this effectively means we need at least 4 small EC2 instances. Yes, that’s right! I will visit this blog very often.
I thought I should leave my first comment.
I recently came across your blog and was reading along.