I was recently asked by a customer why I think Rackspace is the best place to. After working on a number of wildly different AEM/CQ installations hosted on both VMware and Bare Metal at customer data centers, co-located Bare Metal, ISP-managed VMWare, AWS and OpenStack, I can say the biggest reason I recommend Rackspace for AEM is simple: Rackspace has the hosting industry’s deepest toolbox. AEM, more so than many CMS frameworks, can have some intense CPU and I/O requirements. But it can also vary widely on how it needs to be deployed, depending on a vast number of factors. Things like spikiness of traffic, predictability of the traffic spikes, how cache-able the site is, the volume of published content, the presence of social features and user-generated content, authoring volume, number of concurrent authors and durability of the authoring environment (among other things) can drastically change what the “ideal” architecture is for an AEM environment. Some AEM environments are deployed, and then once pushed out, never need to change their sizing. Two publishers, two dispatchers and an author are able to handle all of the site’s traffic spikes without a need for scaling. Sites like these sometimes lend themselves very well to a static private cloud environment, which is provisioned once and then basically left as-is. Most of the times this is done to verify the accuracy of a filling equipment. This allows to summarise the findings before presenting them to my colleagues. Excel data analysis spreadsheet and add-in were created to simplify this procedure. After performing a series of doses (normally between 100 and 1000) I have to analyse some basic statistical data like average, standard deviation, relative standard deviation, etc. The procedure to analyse the data in Excel is not particularly difficult, but needs some time to setup the spreadsheet, gather the data, write the formulas, create the charts and format the whole page to make it nice to present. Other environments have heavy usage on the author tier which, unfortunately, have always had the crippling limitation of an inability to scale horizontally. If you’ve got hundreds of AEM authoring users, or otherwise don’t have the ability to shard your author/DAM workflows to separate servers, your only option is to make the Author server as powerful as possible. This type of requirement (not at all unusual for heavy digital asset management users or sites with a lot of authors) lends itself to an author hosted on Bare Metal, running on a dedicated multi-socket server with high-end CPUs, and its own dedicated, high-speed storage. Other sites have widely varying traffic patterns and need to be able to expand relatively quickly from a handful of publish nodes up to 15, 20 or 30 publishers, to be able to handle traffic. Such sites pretty much require being deployed in an AWS or OpenStack type cloud, where you can quickly clone existing publish nodes, create replication queues on the fly and cut and paste until the site is performing well. My point here is that there is absolutely no “one size fits all” for AEM sites, and it’s nice to be well-supported by expert sysadmins on whatever architecture makes sense for your setup. Ps1 emulator on ps4. Adobe Experience Cloud: A Leader in marketing platforms. Forrester has named us a Leader in The Forrester Wave™: Enterprise Marketing Software Suites (EMSS) Q1 2018. An enterprise marketing software suite is more than just marketing. It starts with customer experience and brings together sales, service, and commerce in a larger business platform. Rackspace has not only a crew of deeply-experienced AEM engineers and architects, but also literally thousands of customer-facing engineers who are available 24×7×365 to handle Linux, networking, security, load balancer and any other type of platform issue that might come up — regardless of what platform or symphony of platforms you happen to be deploying onto. Rpp pjok k13 revisi 2017. Sample AEM architecture diagrams The above being said, I wanted to share a few basic AEM architecture diagrams, which highlight some of the various ways AEM can and has been deployed at Rackspace, depending on customer and business requirements. Adobe Experience Manager 6.4 architecture Adobe Experience Manager 6.4 introduced several compelling new features (see ) including groundbreaking new machine learning and artificial intelligence features powered by Adobe’s Sensei AI. These features require connectivity between your author instance and Adobe Marketing Cloud to work, as illustrated in the architecture diagram here. Image-based features, such as Smart Crop or Smart Tag, will send thumbnails of your DAM assets to Adobe Sensei for analysis, so as to automatically determine contents of the image for tagging (auto-tagging products, themes, image elements like trees, clouds, etc).
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