Skip to main content

What is Elastic Nature in Cloud Computing

Natural clouds are indeed elastic, expanding and contracting based on the force of the winds carrying them. The cloud is similarly elastic, expanding and shrinking based on resource usage and cloud tenant resource demands. The physical resources (computing, storage, networking, etc.) deployed within the data center or across data centers and bundled as a single cloud usually do not change that fast.
This elastic nature, therefore, is something that is built into the cloud at the software stack level, not the hardware.
Best cloud computing example: The classic promise of the cloud is to make compute resources available on demand, which means that theoretically, a cloud should be able to scale as a business grows and shrink as the demand diminishes. Consider here, for example, during Black Friday. There's a spike in inbound traffic, which translates into more memory consumption, increased network density, and increased compute resource utilization. If had, let's say, 5 servers and each server could handle up to 100 users at a time, the whole deployment would have peak service capacity of 500 users. During the holiday season, there's an influx of 1,000 users, which is double the capacity of what the current deployment can handle.

If Amazon were smart, it would have set up 5 additional (or maybe 10) servers within its data center in anticipation of the holiday season spike. This would mean physically provisioning 5 or 10 machines, setting them up, and connecting with the current deployment of 5 servers. Once the season is over and the traffic is back to normal, Amazon doesn't really need those additional 5 to 10 servers it brought in before the season. So either they stay within the data center sitting idle and incurring additional cost or they can be rented to someone else.

What we just described is what a typical deployment looked like pre-cloud. There was unnecessary physical interaction and manual provisioning of physical resources. This is inefficient and something that cannot be linearly scaled up. Imagine doing this with millions of users and hundreds or even thousands of servers. Needless to say, it would be a mess. This manual provisioning is not only inefficient, it's also financially infeasible for startups because it requires investing significant capital in setting up or co-locating to a data center and dedicated personnel who can manually handle the provisioning.

This is what the cloud has replaced. It has enabled small, medium, and large teams and enterprises to provision and then decommission compute, network, and memory resources, all of which are physical, in an automated way, which means that you can now scale up your resources just in time to serve the traffic spike and then wind down the additional provisioned resources, effectively just paying for the time that your application served the spike with increased resources. This automated resource allocation and deallocation is what makes a cloud elastic.


Popular posts from this blog

Blue Prism complete tutorials download now

Blue prism is an automation tool useful to execute repetitive tasks without human effort. To learn this tool you need the right material. Provided below quick reference materials to understand detailed elements, architecture and creating new bots. Useful if you are a new learner and trying to enter into automation career.
The number one and most popular tool in automation is a Blue prism. In this post, I have given references for popular materials and resources so that you can use for your interviews.
Why You Need to Learn RPA blue prism tutorial popular resources I have given in this post. You can download quickly. Learning Blue Prism is a really good option if you are a learner of Robotic process automation.
RPA Advantages The RPA is also called "Robotic Process Automation"- Real advantages are you can automate any business process and you can complete the customer requests in less time.

The Books Available on Blue Prism 
Blue Prism resourcesDavid chappal PDF bookBlue Prism…

Topologies in Apache Storm the concept you need to know

There are two main reasons why Apache Storm is so popular. The number one is it can connect to many sources. The number two is scalable. The other advantage is fault tolerant. That means, guaranteed data processing.
The map-reduce jobs process the data analytics in Hadoop. The topology in Storm is the real data processor. The co-ordination between Nimbus and Supervisor carried by Zookeeper What are topologiesThe jobs in Hadoop are similar to topology. The jobs run as per schedule defined.In Storm, the topology runs forever.A topology consists of many worker processes spread across many machines. A topology is a pre-defined design to get end product using your data.A topology comprises of 2 parts. These are Spout and bolts.The Spout is a funnel for topology Two nodes in StormMaster Node: similar to Hadoop job tracker. It runs on a daemon called Nimbus.Worker Node: It runs on a daemon called Supervisor. The Supervisor listens to the work assigned to each machine.Master NodeNimbus is re…

Three popular RPA tools functional differences

Robotic process automation is growing area and many IT developers across the board started up-skill in this popular area. I have written this post for the benefit of Software developers who are interested in RPA also called Robotic Process Automation.

In my previous post, I have described that total 12 tools are available in the market. Out of those 3 tools are most popular. Those are Automation anywhere, BluePrism and Uipath. Many programmers asked what are the differences between these tools. I have given differences of all these three RPA tools.

BluePrismBlue Prism has taken a simple concept, replicating user activity on the desktop, and made it enterprise strength. The technology is scalable, secure, resilient, and flexible and is supported by a comprehensive methodology, operational framework and provided as packaged software.The technology is developed and deployed within a “corridor of IT governance” and has sophisticated error handling and process modelling capabilities to ensu…