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Articles & Blog

  • Cache size management via query parameter busting.

    Posted by on October 25th, 2010

    You can also keep some of the parameters in the query portion of the URL, while removing others. Such modification only affect the cached response’s signature and have no effect on anything else. Again, this is done to optimize performance and reduce waste that would occur otherwise. Let’s consider this URL: www.acmenews.com/showstory.asp?storyid=1234&partnerid=partner1 We must use […]

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  • aiScaler Cache size management via Cache-by-Path Feature.

    Posted by on October 25th, 2010

    If your web site is fairly large and has significant number of various Web documents (URLs), after deploying aiScaler, most of the content from your web servers will end up in the aiScaler’s response cache as users request it from your web site. aiCache is designed to keep such cacheable responses in  memory (RAM) and […]

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  • aiScaler Header-driven cache invalidation example

    Posted by on October 25th, 2010

    The Header-driven Cache Invalidation. This feature is best explained by an example. Let’s say you have a message board web site where you want to cache discussion threads and forum fronts. Yet at the same time, when a new message is added to the thread, you want to content of the respective discussion thread to […]

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  • Cacheable and non-cacheable content and why very large TTLs are not always a good thing.

    Posted by on October 25th, 2010

    When aicache is concerned, content can be divided into 2 broad categories: cacheable and non-cacheable . It also helps  to think of cacheable content as one that can be shared and non-cacheable content as one that should never be shared or offers no merits when cached. Certain content on your web site might  change frequently, […]

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  • aiScaler benefits with non-cacheable content: it just keeps getting better …

    Posted by on October 25th, 2010

    The non-cacheable/private requests are always forwarded verbatim to the origin servers and obtained responses are fed back to the requesting clients, verbatim[1], without being cached or shared. Even in this situation, with no benefits of caching possible, use of aiScaler offers a very important benefit: it offloads the task of dealing with the client network […]

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  • aiScaler implements automated monitoring and alerting

    Posted by on October 25th, 2010

    aiScaler reports a rich set of statistics and instrumentation information via CLI, SNMP and Web interfaces. While we suggest the of these facilities as part of you regular monitoring and troubleshooting arsenal., we feel SNMP is ideally suited for charting and reporting functions. This includes historical (trend) analysis if your software supports it. To simplify […]

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  • aiScaler implements admin fallback mode

    Posted by on October 25th, 2010

    Operating Accelerated Websites in Fallback Mode. A number of reasons can lead to a state when an origin server infrastructure is unable to serve any requests. – Database or file store failure are some examples. Normally, without aiScaler front-ending the requests, the website would be in a hard down situation – not serving anything at […]

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  • Epoll enabled Linux provides fastest caching on earth

    Posted by on October 25th, 2010

    Fastest web serving on earth can only be run on the advanced multiplexed EPOLL mechanism provided by 64 Bit Linux. When aiscaler.com wanted to move their web acceleration software from Java to C’ they took a long look at the available operating platforms. After months of testing it became clear that 64 Bit Linux  offered […]

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  • aiScaler launches on 64 bit linux

    Posted by on October 25th, 2010

    aiCache.com Web Application Accelerator Launches On 64 Bit Linux Businesses looking to scale web applications and cut cost will be pleased to see that the state of the art in web application acceleration can now be downloaded and placed on standard hardware running any of the open source 64 bit linux. FOR IMMEDIATE RELEASE PRLog […]

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  • More cache less cash

    Posted by on October 12th, 2010

    Applications have a hard time scaling.  Its not their fault they where generally designed to do very complicated things in an easy fashion.  They just did not think the internet would allow hundreds and thousands of people to do them all at once. You might ask why after all these years is scaling still such […]

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