By Michael J. Kavis
Cloud computing is all of the rage, making an allowance for the supply of computing and garage means to a various neighborhood of end-recipients. even if, earlier than you could opt for a cloud version, you must confirm what the fitting cloud provider version is on your company. aiding you narrow via the entire haze, Architecting the Cloud is seller impartial and courses you in making some of the most serious expertise judgements that you're going to face: selecting the best cloud provider model(s) in line with a mix of either enterprise and know-how requirements.
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Additional resources for Architecting the Cloud: Design Decisions for Cloud Computing Service Models
Enter the Cloud Cloud computing combines the best of the mainframe era with the best of the PC-enabled client-server era along with the Internet era. Those old-timers from the conference I mentioned earlier were right. “We have been doing this for years,” as they said. What they missed, though, is that now we can do it at scale, using a pay-as-you-go billing model, at speeds never accomplished before, and all without ever buying any hardware or building any data centers. If managed correctly, cloud computing can give us back a lot of that central control and governance that we had from the mainframe days.
The National Institute of Standards and Technology (NIST) defines IaaS as: The capability provided to the consumer is to provision processing, storage, networks, and other fundamental computing resources where the consumer is able to deploy and run arbitrary software, which can include operating systems and applications. , host firewalls). The Cloud Security Alliance (CSA), a standards organization for cloud security, states that IaaS: Delivers computer infrastructure (typically a platform virtualization environment) as a service, along with raw storage and networking.
A best practice is to design for failure. In Chapter 13 (“Disaster Recovery Planning”) we will discuss best practices for dealing with failures for each service model. Here are a couple of examples where companies did not plan for failure. PaaS provider Coghead was an early market mover in the database-as-aservice space. Database-as-a-service products create huge speed-to-market advantages through the automation of database administration tasks and by providing autoscaling capabilities. Customers leverage these services that allow them to focus more on their applications and less on database management, thus providing greater agility.
Architecting the Cloud: Design Decisions for Cloud Computing Service Models by Michael J. Kavis