Simpler Workstations – A Cloud solution can make the speed of your local workstation less important.   Can you just get a simple $500 PC from Costco rather than a $1,100 business PC or $2,000 Mac?   Hybrid solutions will struggle to deliver fully on this. Less Ongoing Maintenance – Since the network should get simpler, there should be a corresponding reduction on the amount of effort to maintain it.  Later in the series I will try and estimate how much this might save you. Increased Productivity – Ideally you should have less staff time being spent on supporting computers, and that can now be directed towards Patient Care or Business Building. If you pay for expensive T1 lines to link your locations together now, you will likely be able to cancel them since all you need for the Cloud is a good Internet connection (that you probably already have in each office).   This saving alone could justify the move to the Cloud. You may not need to purchase any traditional backup solution, saving on hardware and backup software costs.
Most Practices have little or no Disaster Plan – so this is a feature that saves you having to invest and develop such a plan.   This is a great first step. Don’t forget to consider the other bits of data outside the scope of the PM App.  As with the Backup, you may have other types of data that could be lost or stolen, so be sure you have considered what to do about them in a disaster.
Not all of the solutions offered provide every one of these benefits, so you should be asking the vendors about this.
In this multi-part series I am trying to help educate you to the issues surrounding the issues of Cloud based solutions offered by Dental Practice Management software companies. Thoran Rodrigues does a thorough comparison of 11 IaaS cloud providers based on the same group of criteria. IaaS providers are companies that provide the most basic IT needs - servers, networking, and storage - on a usage-based payment model. For the sake of this comparison, we are going to focus on IaaS providers whose services can be purchased directly on-line, without requiring contact with salespeople of any kind. To do the comparison, I decided to create some dimensions that try to reflect important aspects of cloud computing, such as the promise of reduced costs and economies of scale, the level of service offered to customers, the flexibility in configuring servers, and user concerns such as security, compliance, and support. Pricing Plan - Providers offer pay-as-you-go (usually hourly) plans, monthly pricing plans, "membership" discounts (where the user receives a discount in usage rates in exchange for an extra yearly payment), or any combination thereof. Service Level Agreement (SLA) - The uptime SLA offered (regardless of past performance), in percentage points. Number of Datacenters - The number of datacenters offered as a choice when deploying cloud servers. Certifications - If the vendor has compliance- and security-related certifications, such as PCI or SAS 70.
Scale Up - If it is possible to scale up individual cloud server instances by adding more memory, extra CPUs or more storage space. Free Tier - If the provider has a "free trial" tier that customers can use to test the service. Supported operating systems - The number of supported operating systems, regardless of version, available as a pre-configured image.
Cost of Outbound Data Transfer - The cost, in US$, for each GB of outbound data sent from the server. This table can be further used to, for instance, create a numerical scoring system for the different providers. Though a lot of providers offer comparison tables on their websites, these are biased towards the features they have that their competition doesn't.
I also discovered some interesting tools that allow anyone to do comparisons on current and historical availability of cloud services, as well as to compare response delays and some other metrics. This comparison is far from authoritative or complete, and didn't follow any official research methodology.
Finally, if you think there are other providers, or important criteria that should be added, or even information that could change the results I came up with, please share with us in the comments.


After working for a database company for 8 years, Thoran Rodrigues took the opportunity to open a cloud services company.
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An alternative would be a mixed cluster with spot and on-demand instances or a full spot-instance cluster.
Is this the best direction to go, versus purchasing you own cloud infrastructure in the long term? I guess in your case data is not dictating the cluster sizing at all which is not the case always. However, EMR is very comfortable in this scenario and especially if your frequency of data processing is low, i.e.
Una de las aceitunas más sabrosas en lo que a textura y contenido en aceite natural se refiere. By arming you with the questions to ask and the context behind them you should be empowered to better evaluate the products and how they would benefit your Practice. From servers and infrastructure to office software, a lot of IT is now sold on a cloud-based, service model. They typically make heavy investments in data centers and other infrastructure, and then rent it out, allowing consumers to avoid investments of their own. They were selected based both on my knowledge of companies in this space and based on the availability of information about them on the web.
The more options provided, the better, but the pay-as-you-go model is the most interesting stand-alone option, since it allows for more fine-grained usage control.
Some providers offer fully customizable servers in terms of CPU, these are listed as "configurable". By assigning numerical values to all dimensions, putting them into a 0-1 scale and then applying weights, it is possible to rank the providers according to the most desired characteristics.
I didn't expect to find such a large variation between prices from one provider to the other, but they range from about US$ 40 to US$ 274. These tools can be found at CloudSleuth, a cloud comparison website (see Tajudeen Abubakr's overview of CloudSleuth).
Its objective is to serve as a starting point for people who are either new to the cloud and want to have a quick look at what different providers offer, as well as for people who are considering moving to a different provider. For two years his company has been providing services for several of the largest e-commerce companies in Brazil, and over this time he had the opportunity to work on large scale projects ranging from data retrieval to high-availability critical services.
This article explores the price tag of switching to a small, permanent EC2 Cloudera cluster from AWS EMR. The decision was born out of increasing demand for computing time and the lack of interactivity of a setup that required long startup time and had no user-friendly interface to work with.
We mostly use Hue, Hive, Oozie, and Sqoop at the moment, but use-cases for Flume and other services are already being discussed. This requires that you can deal with losing a cluster (or parts of it) for a period of time.
Companies or departments trialing new products or changing architectures have the opportunity to pilot them with modest funds before applying for substantial investments. I’m not sure what would be the recommended number of nodes (probably 2 masters and 4 workers). Microsoft Security Essentials este un program gratuit care ruleaza in fundal, asa ca nu trebuie sa antivirusantivirus windows 7care este cel mai bun antiviruscel mai bun antiviruscele Essentials este un program oferit Microsoft ce se poate descarca gratuit.


This means that any comparison of cloud providers can not only be very complex, but can also end up measuring companies that don't even compete with each other. I ended up with 11 companies, ranging from the large and well known to smaller, newer ones. If we assume that every dimension has the same weight, and normalizing numerical values by the maximum (or minimum) value, the top three providers would be, in this order: Rackspace, OpSource and Amazon EC2.
For some inexplicable reason, some companies also hide important and relevant information in weird places.
In this sense, I tried to choose dimensions based on the foremost advantages claimed by cloud computing providers (ease of scalability, improved service levels, cost reductions) and on user concerns (security, compliance, monitoring, ease of access). In particular, Hue, a browser-based interface to Hadoop and its services like Hive, was a service we wanted.
The hassle-free installation of services with the Cloudera Manager is an added bonus when we want to experiment with them.
Spot instances are pulled from you without a warning when your bid price is below market rate. If you can live with downtime then your own server plugged into your Internet connection may do. While the largest and most well-known are focused on the general public, with fully on-line automated set-ups, there are also some niche players that cater only to the enterprise market, as well as smaller companies that resell infrastructure from larger ones, usually with some added services.
While this can reduce initial fears about moving to the cloud, it remains to be seen if they can sustain this level of service over time, and what will be the results if they can't.
I also tried to keep it as simple as possible so it would be easy to include new providers or new dimensions in the future.
Which setup is efficient, avoiding upfront capital investment, and achievable with in-house know-how? Our cluster is comparatively modest, merely four m1.large EC2s on EMR, and there is significant uncertainty around how fast and large it will grow in the future.
It proved very beneficial to opening access to our data, our cross-team development process, and improving business intelligence.
It operates nearly its whole business on EC2 using Hadoop and Cassandra clusters, growing and shrinking them with demand. You may also want to review the free Cloudera, MapR and Hortonworks options if you do not need professional support and can do without some features (MapR, Cloudera). Finally, I thought I would see more companies with "free tier" offerings to allow for customer experimentation on cloud platforms. Lastly, Cloudera comes with the Cloudera Manager, which streamlines managing clusters — installing services or upgrading software clusterwide.
The extrem version of that is spiking load for data mining where you may want to spawn hundreds or thousands of tiny instances to crawl the web or extract data. If it is for production use and business critical then of course professional services apply.
At the same time, since most providers offer "pay-as-you-go" pricing models, customers can spin up an instance for a few hours, try the platform out, and then spin it down, all for a few dollars. If this occurs at specific times or intervals then cloud computing can make you live easy and reduce costs (good example is EMR).
In the long run, we will discuss whether owning the hardware is not a more cost-effective solution.



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