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By the end of 2014, U.S. companies will spend more than $13 billion on the cloud. That’s according to a recent Forbes article, which also notes the global market for cloud hardware is predicted to reach almost $80 billion in just four years. Part of this growth is thanks to increasing adoption of basic cloud building blocks: public, private and hybrid stacks. But that’s only part of the story – here are three emerging developments in the cloud.
As Cloud computing is currently the main trend in IT infrastructure, you can wonder if companies are moving the software applications that they internally developed to the Cloud. The software development magazine Methods & Tools has recently asked its readers if their organization were hosting their software applications on a cloud infrastructure.
To truly appreciate the simplicity of monitoring in the cloud, it helps to first separate the hype from the reality. What is the cloud? The cloud is just a collection of applications and services layered on top of the same virtualization and storage services that we’re already familiar with in the local data center. The difference is that those services are now available to all users via self-help, and implemented in very short time frames. Thus, monitoring the cloud is really no different than monitoring the systems, services, and applications …
Bringing VMs (virtual machines) onto the cloud has become increasingly popular. Recent years have seen great advancements in both cloud computing and virtualization. On one hand there is the ability to pool various resources to provide software-as-a-service, infrastructure-as-a-service and platform-as-a-service. At its most basic, this is what describes cloud computing. On the other hand, we have virtual machines that provide agility, flexibility, and scalability to the cloud resources by allowing the vendors to copy, move, and manipulate their VMs at will.
You might like to know more about the impact of other architecture styles and trends on SOA. This article explains why SOA is a good fit for cloud-based deployments and how the cloud affects SOA. Dividing business capabilities into autonomous components fits well both gradual transitioning to public clouds and hybrid cloud setups.
With the right indexes in place, MongoDB can use its hardware efficiently and serve your application’s queries quickly. In this article, based on chapter 7 of MongoDB in Action, author Kyle Banker talks about refining and administering indexes. You will learn how to create, build and backup MongoDB indexes.