Posts Tagged ‘ enterprise-it ’

Cloud Computing in 2012 (continued) – Automation of Cloud Resources

With the emergence of cloud computing, the ability to spin up new resources via an API and deploy a new virtual  instance of machines quickly has become one of the more popular paradigms. Resource automation is an important part of any company’s business initiatives. Cloud hosted applications can be deployed, provisioned and created with new instances in an on-demand basis. These computing resources can be created and utilized in very short order, usually in a matter of minutes, and in some cases a matter of seconds.

High Availability, Configurable and Programmable features make Cloud Automation a key driver for adoption

The dynamic nature of cloud automation enables companies to provision and de-provision cloud resources on-the-fly as you meet needed threshold metrics based off of application environment variables, such as increased load traffic, additional users or environment changes on the system running queries, additional taxation of your application platform during data mining or migration processes, and during heavy usage and peak load traffic with data crunching scenarios imposed during run-time.

An important point to note is the rapid adoption and move towards multicore servers strengthing the impact of dynamic automatic virtualization. Overall, the fulcrum points of cloud automation are, increased efficiency, as it pertains to billing, and the ease of implementing highly available computing power required during peak loads of your business applications hosted across the clouds.

Benefits of not having to purchase and provision new servers

By embracing cloud technologies, companies are presented with opportunities to scale their offerings to their clients and serve their business initiatives, all while gaining the ability of  dynamical scaling. Competitive advantages can be seen in hundreds of articles and white papers written by companies, who were either start-ups or building a new application, or migrating an existing data center application to the cloud, and were enabled to get to market quicker and expand or contract their platform hardware requirements in real time as the demand of their systems change.

Amazon and Windows Azure® Cloud Automation Features

There are numerous cloud providers to compare and contrast for Cloud Automation, so we have put together some key points about Amazon Web Services and Windows Azure. Amazon offers auto scaling which the company describes here : http://aws.amazon.com/autoscaling/. Windows Azure offers Autoscaling Application Blog information here: http://www.windowsazure.com/en-us/develop/net/how-to-guides/autoscaling/

Amazon CloudWatch and Auto Scaling ( the following content was copied from the links above )

Amazon CloudWatch provides monitoring for AWS cloud resources and the applications customers run on AWS. Developers and system administrators can use it to collect and track metrics, gain insight, and react immediately to keep their applications running smoothly. Amazon CloudWatch monitors AWS resources such as Amazon EC2 and Amazon RDS DB instances, and can also monitor custom metrics generated by a customer’s applications and services. With Amazon CloudWatch, you gain system-wide visibility into resource utilization, application performance, and operational health.

Amazon CloudWatch provides a reliable, scalable, and flexible monitoring solution that you can start using within minutes. You no longer need to set up, manage, or scale your own monitoring systems and infrastructure. Using Amazon CloudWatch, you can easily monitor as much or as little metric data as you need. Amazon CloudWatch lets you programmatically retrieve your monitoring data, view graphs, and set alarms to help you troubleshoot, spot trends, and take automated action based on the state of your cloud environment.

Amazon Auto Scaling

Auto Scaling allows you to scale your Amazon EC2 capacity up or down automatically according to conditions you define. With Auto Scaling, you can ensure that the number of Amazon EC2 instances you’re using increases seamlessly during demand spikes to maintain performance, and decreases automatically during demand lulls to minimize costs. Auto Scaling is particularly well suited for applications that experience hourly, daily, or weekly variability in usage. Auto Scaling is enabled by Amazon CloudWatch and available at no additional charge beyond Amazon CloudWatch fees.

Features of Amazon Auto Scaling

  • Scale out Amazon EC2 instances seamlessly and automatically when demand increases.
  • Shed unneeded Amazon EC2 instances automatically and save money when demand subsides.
  • Scale dynamically based on your Amazon CloudWatch metrics, or predictably according to a schedule that you      define.
  • Receive notifications via Amazon Simple Notification Service (SNS) to be alerted when you use Amazon      CloudWatch alarms to initiate Auto Scaling actions, or when Auto Scaling      completes an action.
  • Run On-Demand or Spot  instances, including those inside your Virtual Private Cloud (VPC) or High Performance Computing (HPC) Clusters.
  • If you’re signed up for the Amazon EC2 service, you’re already registered to use  Auto Scaling and can begin using the feature via the Auto Scaling APIs or  Command Line Tools.
  • Auto Scaling is enabled by Amazon CloudWatch and carries no additional fees.

Windows Azure® Autoscaling Application Block
( the following content was copied from the links above )

The Autoscaling Application Block can automatically scale your Windows Azure application based on rules that you define specifically for your application. You can use these rules to help your Windows Azure application maintain its throughput in response to changes in its workload, while at the same time control the costs associated with hosting your application in Windows Azure.

Along with scaling by increasing or decreasing the number of role instances in your application, the block also enables you to use other scaling actions such as throttling certain functionality within your application or using custom-defined actions.

You can choose to host the block in a Windows Azure role or in an on-premises application.

A multitude of Cloud Platform offerings, brings compelling opportunity

It is clear that the cloud computing models of deployment, management and ongoing maintenance and support bring a very compelling argument to “why adopt the cloud”. The largest and most innovative companies today are openly embracing this paradigm of technology thought leadership and ROI is proving itself every day.

To learn more about Cloud Computing, Windows Azure®, Amazon Cloud, and other fantastic Cloud and SaaS platforms for business, contact our strategic cloud advisers by visiting http://www.nubifer.com

Cloud Computing in 2012 (continued) – On-Demand Elasticity

Cloud computing, at its core, offers a large set of resources that  enable a concept known as elasticity. Elasticity is a part of the core feature set that comprise cloud computing. The concept behind elasticity is so integral to cloud computing that Amazon Web services decided to categorize the major offering in their cloud as Amazon EC2 (Elastic Cloud Compute).

The definition of elasticity can be described, or sometimes known as, dynamic scaling. The ability to dynamically scale and change resource requirements or consumption needs in direct response to runtime requirements makes this paradigm of cloud computing an integral part of the model. Most applications require a standard level of resources operating under normal, ready state environmental conditions, but also require additional computing resources during peak usage situations.

Before the advent of the cloud model, companies were required to pre-build, pre-purchase and configure sufficient capacities to not just operate properly under standard load requirements, but also handle extensive peak load situations while offering sufficient performance. When looking into the past and present of the self-hosted model, this means companies having to over provision and purchase additional hardware and software for their given application requirements and further requires engineers to try to accurately predict customer or end user usage in peak load scenarios.

When looking into managed hosting, it is possible to start with a small subset of computing resources and hardware and continue to grow the resource as the applications requirements grow. But in the model of managed hosting, provisioning for new hardware and software dedicated to the application’s needs can take weeks, or even larger companies, months.

With cloud computing having hundreds and thousands of virtualized computing resources which can be leveraged, provisioned, and released in conjunction to the application and peak load requirements on demand make the elastic cloud model the most powerful and convenient paradigm available to business. When businesses incorporate automation via dynamic scaling, also known as elasticity, the service-level offerings to end-users increase substantially.

Our next blog will focus on virtualization in cloud computing. Please check back often, or subscribe to our blog to stay up-to-date on the latest posts and perspectives and news about cloud computing. For more information about Nubifer Cloud Computing visit www.NUBIFER.com