Distributed Cloud Computing will be Essential to the Internet Of Things

The Internet Of Things will be depend on fast, local compute and storage built on highly distributed cloud platforms.

Traditional Cloud Models Won’t Cut It

Traditionally, the cloud has been construed in much the same way as on-premise infrastructure: a centralized source of compute and storage. The cloud is more flexible, more agile, and often less expensive than traditional infrastructure, impacting how businesses think about IT management and utilization. But for the most part, cloud infrastructure has been centralized infrastructure.

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Bellevue, WA – July 27, 2015ComputeNext, a cloud marketplace platform provider, will be exhibiting at CompTIA ChannelCon 2015, in Chicago from August 3-5. ComputeNext will be demonstrating in booth number 418 at the Hilton Chicago.

At ChannelCon, ComputeNext will showcase its Cloud Marketplace platform, which enables cloud service providers, IT resellers and distributors to broker cloud services and infrastructure for their customer base in order to drive revenue, extend service offerings and enhance customer relationships and loyalty. The platform allows the customers of channel and white label partners to browse, select, buy and deploy cloud services, infrastructure and apps, all transactionally and instantaneously. ComputeNext provides end-to-end design, creation, management, billing and operation of its white label cloud marketplaces, and also collaborates with channel and white label partners on co-marketing and go-to-market activities.

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Announcing the ComputeNext CloudED Channel Training & Education Program:

One of the biggest challenges facing IT channel sales organizations today is maintaining their sales revenue through transitioning their clientele from on-premise infrastructure and software to off-premise cloud-based services.  This fundamental business shift needs to handled very carefully such that the channel partner can maintain their role as the “trusted advisor” for their clients, providing adequate guidance and knowledge through that transition.

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The choice of data storage method can have a significant impact on factors ranging from performance and reliability to management complexity and cost. There’s no right choice for all scenarios. Storage strategies should be chosen based on the specific requirements of the application in question: the optimal choice for a geographically redundant data store would be a poor choice for a high-performance database application.

We’re to discuss three potential data storage options and their specific advantages, before focusing on the best option for the very large datasets often required by Big Data applications.

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Protect Your Virtual Machines: Six Best Practices For Securing Cloud Data

In spite of the persistent questioning of cloud security by physical infrastructure partisans, in truth, the cloud is as secure as any other infrastructure platform — which is to say, it’s as secure as cloud vendors and cloud users make it.

If managed properly, the cloud and the virtual machines that run on it, and by extension the data they hold, are secure.

In this article, we’re going to take a look at six security practices that contribute to a secure cloud environment.

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The Correlation Between Application Performance and Cloud Location

If you’ve ever been left twiddling your thumbs as you wait for your webmail service to present a usable interface or your SaaS spreadsheet to become responsive, it’s likely that the networks that lie between you and your application provider are responsible. Data surges from its home network at high speed before being bogged down somewhere on its way to you. The further away from the source you are, the longer you’ll be waiting.

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Using Federated Clouds For Accurate, Real World Load Testing

The nightmare scenario for system administrators working on web services and applications: they push a new iteration of their code into production, everything seems to be going well, then, as demand peaks, their cloud servers slow to a crawl, users start complaining, databases can’t keep up with the demand.

The code push introduced a regression that wasn’t caught in testing and under real world use, the service goes down. Perhaps it was a caching flaw, an error with the way files were pushed out to content distribution networks, or a coding mistake that caused the application to use far more resources that it should.

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Docker Is A Federated Cloud User’s Dream Application Deployment Tool

The modern cloud marketplace offers businesses a bewilderingly complex set of options. There are dozens of cloud vendors offering subtly differentiated and incompatible products spread across the globe. None of these vendors fits all potential use cases. A large cloud deployment might include storage, database servers, virtual machines, bare metal servers, and a host of software-defined and hardware networking solutions. Often, to provide optimal performance, resources will need to be located close to users, and since large cloud providers usually only offer a presence in a handful of big cities, that means dealing with multiple vendors.

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In the previous article of ourWordPress On Cloud series, we discussed various techniques for improving performance of our WordPress site. Once basic performance improvement methods are applied, we use monitoring tools to test and optimize the performance of the site. This methodology is referred to as “fine tuning,” which we have already discussed in previous article.


The testing we are going to perform is often known as load testing. In this form of testing we see how our site would perform when accessed by number of users at the same time from predefined geographical locations. There are various tools available for this kind of testing, and we are going to use an online load testing tool called Load Impact. Load Impact will provide us with results and graphs of various metrics from which we will be able to deduce the factors affecting our site performance.

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So far in the WordPress on the Cloud series, we successfully installed WordPress and understood what are the major differences while working with a cloud server instead of VPS. We also learned how to manage themes, plugins and deployment for WordPress sites on Cloud. If you have followed the tutorials so far, you should have WordPress site running with smooth & fast deployments. Now it’s time that we take a deeper look at site performance optimization. We need to make sure that our WordPress site is fast, which is very essential when you are trying to deliver the best user experience and SEO (Search Engines take site speed into consideration while ranking).

For achieving the said optimization, we will make use of general optimization methods like caching, CDN, asset compression, database optimization, etc; Once basic optimization is in place, we’ll fine tune it by using monitoring tools and making appropriate changes accordingly.

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