midwest cloud computing This is a topic that many people are looking for. bluevelvetrestaurant.com is a channel providing useful information about learning, life, digital marketing and online courses …. it will help you have an overview and solid multi-faceted knowledge . Today, bluevelvetrestaurant.com would like to introduce to you What Is Cloud Computing (Computing As A Utility). Following along are instructions in the video below:
“Thanks for tuning into singularity prosperity. This video is the tenth in a multi part part series discussing computing in this video. We ll be discussing what cloud computing is the fundamental change it brings in how we view and think about computing to better understand the massive revolution. Cloud computing will bring and is bringing to the field of computing.
Let s first go back in time and view. A similar revolution with electricity before the height of the industrial revolution electricity had to be generated in house. This had many downsides every worker lost to generating electricity was one less to make the factory. More productive and scalability was a major issue at times.
When production of the factory went up there wouldn t be enough generated electricity causing power outages and a loss of production thus often times more electricity that needed was generated which was quite costly then in the 1880s thomas edison. Founded. The edison. Illuminating company.
Turning electricity into a utility in other words. Something that could be switched on and off whenever desired delivering the exact amount of power needed at a cost per unit in the case of electricity watts electricity as utility allowed for mass productivity increases and sparked further exponential growth in the industrial revolution referred to as the second industrial revolution. This because electricity as utility lowered the barrier to starting and maintaining a business thus leading to more innovation coming back to present day. This analogy has strong correlations to transformations seen in computing.
When running a website or application in the pre cloud computing days every individual business with an online presence had to maintain servers that allowed users to access their site. This is referred to as hosting like with electricity sometimes more users will access the site and sometimes there will be little to no users on the site to prevent site crashes on periods of high traffic. Which therefore equated to lost users and customers more servers than needed often had to be purchased these servers are very costly racking up bills. Even when they aren t used to full capacity also like the electricity analogy having a large team of sysadmins network engineers.
Etc takes away productivity from the true goal. A business is trying to achieve therefore making the barrier to a scalable business high and costly now with cloud computing. We are witnessing a revolution in how computing power is allocated in other words viewing computing. As a utility cloud.
Computing. Has seen an incremental evolution over the past decade in large part due to the exponential increase in computing performance..
With cloud computing currently growing at a rate of 23 percent per year before discussing the primary types of cloud computing. What exactly is it well the best way to think about it is to think about actual clouds a cloud is formed via a dense cluster of water molecules that appear as a single object from a distance thus taking this concept cloud computing refers to a dense cluster of computers working together that appear as a single computing resource. There are many companies in the cloud computing race now to list some of the biggest cloud providers amazon web services microsoft azure google cloud ibm cloud the list can go on and on essentially the cloud services. These companies provide are through vast data centers made for public use as discussed previously for a business to manage its online presence in house servers and maintenance was required.
Which racked up costly bills and was counterproductive to the true goals of the business. This is where the first type of cloud computing came into play infrastructure as a service iaas. Where the hardware in other words. The hosting environment was abstracted away like with an electricity meter businesses.
Only pay the cloud provider for the exact amount of computing power used so when there is a heavy load on a cloud hosted site. More is charged due to increased computing. Demand and with less traffic significantly less is charged the next type of cloud computing is platform as a service paas. This is where the operating system and software backend is abstracted away.
While iaas provides the infrastructure for hosting an application everything else involved in backend development. Is not covered. This is the role paas fills backend services. Including data management in the form of databases and middleware.
Which is the plumbing between the components of an application to make sure everything works together the last type of cloud computing. We ll discuss is software as a service saas. This is where the software runtime is abstracted away essentially a layer in the cloud for program execution. This part of the cloud affects us the consumers.
The most allowing our devices to do minimal processing. When running an application because processing is instead done in the cloud and results deliver to our devices. The best analogy for these 3 layers is a cake iaas is the large base of a cake paas is the frosting that covers the cake and saas is the eye catching candle on top that people see first over the years. The boundaries between these layers is becoming more and more muddled with the industry.
Heading towards a serverless future also called functions as a service faas. This is the combination of all three types of cloud computing..
We ve discussed more on this in the next section a serverless future provided through cloud computing is the new paradigm. This further exemplified by the fact that the price of cloud computing is decreasing due to increasing computing power. This is referred to as bezo s law. Where the ceo and founder of amazon stated a unit of computing power price is reduced by approximately 50 every 3 years.
The unit of measurement for the allocation of computing power varies by provider due to the types of cloud computing. They provide for example per gigabyte of ram used per gigabyte of storage kilowatt hours of computing used etc. The reason for the drop in price and increase in power for these units extends to topics. We discussed in previous videos in this computing series that deal with advances in both hardware and software such as gpus like volta new memory devices as well as standards and much more when electricity became a utility.
The barrier to entry of a scalable business dropped and led to innovation at an exponential rate computing as utility does this once again this is easily observable by startup culture. Today. Where anyone with a vision or idea can immediately establish an online presence and proof of concept of their application or website. Whereas in the past expensive servers would have to be maintained and overhead of extra staff now with cloud computing and serverless architecture.
All of that is taken care of at a bare minimal cost as the application starts to become more popular. All you have to do now is increase your cloud plan through your cloud service provider. There are many services offered by cloud providers to accelerate development and innovation to list a few amazon lumberyard for game development salesforce for e commerce applications amazon web services for all encompassing serverless. Architecture and many more as a side.
Note our site singularityprosperitycom. Is hosted on aws amazon web services offers comprehensive big data services that enable retailers to perform sophisticated analytics at lightning fast speeds. Allowing for real time analysis and insights that drive your business. With amazon.
Kinesis. You can quickly ingest. Different data streams from mobile and web purchases. Pos transactions and customer data store.
This data in an amazon. S3 data..
Lake and use amazon athena to run ad. Hoc analysis and interactive queries. Like customer shopping patterns and product preferences. With aws lambda.
You can set up code. That responds to certain triggers and events like querying amazon dynamodb. A nosql database to respond to customer questions about product assortment and availability or to generate sentiment analysis from social media. Storing.
It in a fully managed data warehouse like amazon redshift and then visualizing an identifying customer sentiment over time with amazon quicksight amazon emr provides retailers with a managed hadoop analytics framework that makes it easy fast and cost effective to process vast amounts of transaction data online browsing behavior in store shopping trends and product preferences. Which can guide inventory and pricing strategies with the broadest and most advanced set of analytic services supporting every workload. Imaginable aws provides everything a retailer needs to collect store process. Analyze and visualize big data in the cloud beyond the impact to business and startups cloud computing is beginning to have a major impact on us.
The consumers as well due to cloud services and service architecture. Cloud services for consumers used to just be about storage. Such as dropbox and google drive now. However they are beginning to expand to every industry to list some examples cloud music.
Like apple music and spotify and cloud gaming. That nvidia is working on with geforce now in fact these services are now extending towards virtual desktops as well. Where any application can be run in the cloud. An example of this is amazon workspaces.
Where any windows application can be run in the cloud from intensive programs. Like after effects and cinema 4d to productivity applications like microsoft office and everything in between in terms of the impact of serverless architecture on consumers. It essentially means our devices will be able to do more with less processing power since the most computationally intensive tasks will be computed in the cloud. Let me explain this and extrapolate.
The future of cloud computing. There are three layers cloud data centers fog nodes and edge devices..
Cloud data centers are the giant facilities that companies such as amazon and google have the scale of them globally are in the thousands. Fog nodes are small scale data. Centers or servers. That can be installed anywhere from the floor of a building inside a railcar.
The list can go on and on simply put any device with computing storage and networking is a fog node and their scale will be in the millions edge devices are simply. Any internet connected device from our mobile phones. Self driving cars. Sensors and the countless iot devices that are coming to market their scale will be in the billions with the growth of machine learning and artificial intelligence.
More and more edge devices will require instantaneous big data insights such an example is self driving cars that are constantly learning and adapting to their environments. It is impractical to have edge devices themselves be powerful enough to compute these analytics. But what they can do is make inferences based on current machine learning models they have and acquire large amounts of data this newly acquired data is then sent to the cloud so updated machine learning models can be made and then sent back to the edge device the purpose of fog nodes is to reduce the latency of access to the cloud due to the vast amounts of devices that will need connectivity instead of connecting to a data center far away the fog acts as an intermediary that stores analytics closer to the edge. We will cover edge computing much more in depth in this channels.
Ai and internet of things series. Also if you re curious about issues of latency between the edge fog and cloud be sure to check out this channels. Previous series on 5g and video on optical computing. At this point.
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