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AWS has introduced Auto Scaling so that you can take advantage of cloud computing without having to incur the costs of adding more personnel or building your own software. You can use Auto Scaling to scale for high availability, to meet increasing system demand, or to control costs by eliminating unneeded capacity. You can also use Auto Scaling to quickly deploy software for massive systems, using testable, scriptable processes to minimize risk and cost of deployment.

Amazon Web Services (AWS) offers increased agility, developer productivity, pay-as-you-go pricing and overall cost savings. But you might wonder where to start, what pitfalls exist and how can you avoid them? How can you best save time and money? Learn what you need to know and where to start before launching an AWS-hosted service.

Database Management Systems (DBMS) have been monolithic structures with their own dedicated hardware, storage arrays, and consoles. Amazon Web Services (AWS) realized that while each company can use unique methods of collecting and using data, the actual processes of building the management infrastructure are almost always the same. AWS remedies DBMS problems with its Amazon Relational Database Service (Amazon RDS).

SOA is all about architecture-after all, it's right there in the acronym-yet most organizations think it is about turning existing software components into web services. When you adopt SOA, remember that it is all about design and governing that design. It's about how you design your service interfaces, your services, your data model, and your business processes. It's about how you keep track of your services, how you control the design, definition, deployment, and distribution of your services and their artifacts, how you define a service contract and service level agreement for your service consumers, how to secure your services, and how to react when things go wrong with them.