Amazon EC2 pricing models for India: An overview

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Amazon EC2 pricing models for India: An overview

Jasmine Desai, Principal Correspondent

Amazon Web Services (AWS) opening a data center in Singapore to make its entry in the Asia Pacific region has created a lot of interest about Amazon Elastic Compute Cloud (Amazon EC2) in India. As a leading public cloud computing provider, AWS falls in the infrastructure as a service (IaaS) space, providing on demand service using virtual server instances with unique IP addresses and blocks of storage. This is why AWS pricing, specifically

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Amazon EC2 pricing models, are generating significant amounts of curiosity.

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To have quick overview, AWS includes various components like Amazon EC2, Amazon Simple Storage Service (Amazon S3), Amazon SimpleDB, Amazon Relational Database Service (Amazon RDS). AWS overall, and Amazon EC2 pricing models in specific, follow a pay-as-you-go model (as in any other cloud computing model). With regards to latency, Amazon claims that there will hardly be any cause of concern since AWS now has its data center in Singapore.

In the entire AWS portfolio, Amazon EC2 remains the most popular service. The available Amazon EC2 pricing models are claimed to provide organizations with the flexibility to choose from a number of different instance types to meet specific computing needs. Each suite provides a predictable amount of dedicated compute capacity, and is charged on a per instance-hour consumed basis. According to AWS spokespersons, Amazon EC2 pricing models ensure that users pay only for what they use. There is no minimum fee in the present Amazon EC2 pricing models.

When it comes to Amazon EC2 pricing models, the instances are grouped into three families: Standard, High-Memory and High-CPU. Amazon EC2 pricing for each of these instances is as follows:                          

i. Standard Instances: Have memory to CPU ratios suitable for most general purpose applications. This Amazon EC2 pricing model ranges from $0.12 per hour to $ 0.96 per hour, for services running on Windows infrastructure. For infrastructure running on Linux and UNIX, Amazon EC2 pricing starts with $0.095 per hour to $0.76 per hour.                         

ii. High-Memory instances: This Amazon EC2 pricing model offers larger memory sizes for high throughput applications, including database and memory caching applications. This is priced at $ 0.62 per hour to $2.88 per hour for Windows based infrastructure. For Linux/UNIX based instances in this pricing model of Amazon EC2, prices range from $0.57 per hour to $2.68 per hour.                         

iii. High-CPU instances: In this Amazon EC2 pricing model, proportionally more CPU resources are consumed than memory (RAM), and as a a result it targets compute-intensive applications. This Amazon EC2 suite has been priced at $0.29 per hour to $1.16 per hour for Windows based infrastructure. For Linux or UNIX based infrastructure, this Amazon EC2 pricing model charges from $0.19 per hour to $0.76 per hour.

When choosing Amazon EC2 pricing types, organizations should consider characteristics of their application with regards to resource utilization. Accordingly, they should select the optimal instance family and size.

Basic support offers access to AWS' Resource Center, Service Health Dashboard, Technical FAQs, and Developer Forums—and is free of charge to all AWS users. Organizations which require a higher level of support can subscribe to the AWS Premium Support options.  There are two AWS Premium Support offerings—Gold and Silver. The following is the breakup of the services.

Gold Support includes:

-Business day support (6 a.m. to 6 p.m.)
-24x7x365 coverage.
-One-on-one support via web-based ticketing system.
-One-on-one support via telephone.
-1 hour maximum response time for "Urgent issues".
-Guaranteed response time for non-urgent issues.
-Client-side diagnostic tools.
-Named support contacts.

Silver Support includes:

-Business day support (6 a.m. to 6 p.m.).
-One-on-one support via web-based ticketing system.
-Guaranteed response time for non-urgent issues.
-Client-side diagnostic tools.
-Named support contacts.