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With ever increasing demands for storage, system administrators often find themselves needing to add new storage to servers. This video provides step-by-step examples of how to partition, format, and mount new storage space using Linux.
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Discover how the enhanced performance and reliability of Amazon Aurora will help AWS customers reduce performance bottlenecks in their applications. The relatively low cost of Aurora will tempt many customers to migrate workloads to this implementation of RDS.
The Bash shell is a powerful tool for managing Linux servers. This video offers a number of tips and tricks for using Bash to help make working on the Linux command-line easier and faster. It explores time saving tools like tab completion, command history, and brace expasion as well as how to combine commands together to create powerful new tools using piping.
Amazon Redshift opens up enterprise data warehouse (EDW) capabilities to even the smallest of businesses, yet its costs, security, and flexibility also make it appealing to the largest of enterprises. It allows companies to easily and conveniently scale their EDW needs both up and down, and as a managed service, it allows your team to offload all of the "undifferentiated heavy lifting" of building and maintaining an EDW. Its raw storage costs are about one-fifth to one-tenth of traditional in-house EDW, and AWS has taken great care to ensure its performance is still competitive with those in-house solutions. Before deciding to use Amazon Redshift, however, it's important to understand what it is and is not.
This white paper explores the native AWS storage solutions, enabling you to deliver applications in the cloud in the most efficient, cost-effective, and secure manner. In terms of storage, it's important to understand the characteristics of each AWS storage option so that you can implement one or more AWS storage services to meet your needs. Often, you'll find that utilizing multiple storage options together will give you the best outcomes.
The Logical Volume Manager (LVM) is a powerful tool for managing storage on Linux servers. This video provides an overview of how LVM works and explores several ways that LVM makes storage management easier and more flexible. Examples include how to expand storage capacity on the fly using LVM and resize2fs, and how to migrate data from local storage to a storage area network (SAN) without downtime using pvmove.
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).