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The challenges of maintaining data centers, including high electricity usage, long lead times, and specialized skills required. It proposes outsourcing data centers to cloud platforms like amazon web services (aws) and google app engine for economies of scale and access to specialized skills. The document also covers the benefits of cloud computing, including cost savings, reliability, and scalability. It mentions specific cloud platforms like aws, amazon elastic compute cloud (ec2), amazon simple storage service (s3), and amazon relational database service (rds), and their features.
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Need lots of electric power
of all
electricity)
Long lead time to build - Inflexible investment of capital - Needs specialized skills - Security, failover, load balancing - Takes time away from core competencies - Hard for all but large companies to own/run
Computing power has become a commodity just like electric power.
th
Launched in
Run by Amazon.com
Programmed in many languages including Java, Python, Ruby,
Evolved from basic computing to add commerce
based services, such as payment and fulfillment
Businesses are running Web Applications in the Cloud to lower costs, deploy applications faster and easily scale. - The scale of the AWS Cloud makes it easy for you to respond to rapid growth or unexpected demand. - AWS is capable of deploying 1000s of VM in min. - When application usage is not at its peak, you can easily shut down unused resources , resulting in lower costs. aws.amazon.com
aws.amazon.com
Amazon
provides a simple web services interface to store and retrieve any amount of data, at any time, from anywhere on the web.
It is durable, highly available, and secure. Amazon
stores multiple redundant copies of your data.
Amazon
makes it easy to set up, operate, and scale a relational database in the cloud.
It provides cost
efficient and resizable database capacity while managing time
consuming database administration tasks.