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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).
Organizations of all sizes have identified the benefits of cloud-based computing, whether it’s implementing a private or hybrid cloud on their own or accessing a public cloud through a service provider. Virtualization, a key component for building secure cloud environments, offers many advantages, including higher machine efficiency due to increased utilization, energy savings, and the flexibility to build or destroy virtual machines (VMs) on demand to meet changing organizational needs. Choosing open source virtualization over proprietary alternatives can significantly increase savings. However, an open source Linux Kernel-based virtual machine (KVM) offers several benefits to organizations beyond just cost savings. These benefits include security, reliability, availability, performance, and scalability. In this white paper, we’ll look at the relationship between open source virtualization and the cloud, and explore the security aspects of KVM hypervisor technology, especially in relation to how it leverages SELinux and related capabilities for secure public, private, and hybrid cloud performance.