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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.
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).
Cloud forensics involves exploring issues a company and its forensic examiner may face when suffering a breach of company information in the cloud. If they need to collect information from the cloud to determine what happened, to determine what was lost or compromised, for remediation, for civil litigation, or for some other action, what issues will they face? And, how can they collect the data? Although this white paper discusses many legal issues, this is not a legal "how-to" article. The purpose is to provide some insight into cloud forensics.
Microsoft Office 365 has a vast array of features to explore. A rich administration interface, streamlined security, and versatile migration options make this one of the most interesting products when it comes to an SaaS public cloud solution.
After a review of Software-Defined Networking (SDN) and its close cousin Network Functions Virtualization (NFV), this white paper addresses three main deployment scenarios: SDN without deploying cloud computing, cloud computing without deploying SDN, and deploying cloud computing in conjunction with SDN. We'll look at use cases, when the approach makes sense, and any applicable limitations.
VMware vCloud Director fashions the provisioning of the software-defined datacenter layer to allow for a full virtual datacenter deployment within a short period of time. A vCloud consists of many layers and can quickly become a complex architecture. Before any deployment, requirements should be defined so that the vCloud can be designed to offer those services needed. It is imperative to understand the many components of vCloud, how each vCloud construct fits, which allocation models are available, and what network options can be chosen.
This white paper has three main goals. The first is to generate a better understanding of the cloud in both the business and IT communities. The second is to describe the major components of vCloud and the virtual datacenters they provide. The third is help businesses visualize and understand how vClouds could be beneficial in addressing their specific IT needs.
Learn how Docker makes it easy to update, test and debug software with this white paper and gain foundational knowledge about Dockerfile, Docker images and containers.
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.
Cloud computing is a big force in IT today, and it isn't going away. In fact, cloud adoption is going up geometrically, both for end users (think apps on your phone or tablet) as well as for organizations of all sizes. In fact, many smaller organizations may not have any on-premises infrastructure at all, other than networking infrastructure to get connected to the cloud. With this transformation in IT, it behooves all of us in the industry to understand it and adapt or risk being out of a job, like punch card operators.