Backup refers to the copying of data so that these additional copies may be restored after a data loss event. Backups differ from archives and backup systems differ from fault-tolerant systems. Backups are useful primarily for two purposes: to restore a computer to an operational state following a disaster (called disaster recovery) and to restore small numbers of files after they have been accidentally deleted or corrupted.
Recent headlines tout backup’s many failures and the struggles that organizations have with successfully executing on their backup strategies. Download this free white paper to learn how you can make backup a profitable service offering for your company.
Enterprise IT teams face increasing challenges as the amount of valuable data living on endpoints continues to grow. Adding complexity is the mounting list of government regulations to which enterprises must comply. Read how endpoint backup can satisfy data collection and preservation requirements in a more streamlined and cost-effective manner than traditional e-discovery methods.
Many companies still rely on a legacy, platform-specific data backup solution, even though it doesn't provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Organizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data.
A new approach, known as “Big Workflow,” is being created by Adaptive Computing to address the needs of these applications. It is designed to unify public clouds, private clouds, Map Reduce-type clusters, and technical computing clusters. Download now to learn more.
Many IT executive view cloud computing as an attractive platform for data backup. They know cloud can help protect business-critical data and provide near-ubiquitous information access. But while having a cloud-based solution is valuable, developing one in-house is tricky. That's why many organizations want to contract with a third-party cloud provider for cloud-based data backup. Read this buyer's guide to learn how to choose a provider to suit your business needs.
Are you considering in-house disaster recovery management? In the last five years, many companies have. But did you know that without the proper resources in place, managing disaster recovery yourself can put a strain on your budget, your staff and your disaster preparedness? Read this IBM-Forrester global study “The Risks of ‘Do It Yourself’ Disaster Recovery” to learn the critical components that make a disaster recovery strategy successful, and the key questions you need to ask before bringing disaster recovery in-house.
Zurich Insurance suffered a major flooding incident in 2011 that put their office out of commission for almost a month. The company invoked its disaster recovery plan and moved 120 staff to IBM’s Damastown Technology Campus. Read the case study to find out how planning and working with IBM helped Zurich Insurance cope with this serious incident.
"Virtualization introduces new challenges for managing your data center. Applications now compete for shared resources such as storage, CPU cycles and memory, often causing performance bottlenecks and unhappy customers. This paper details 20 metrics that indicate when capacity issues are occurring and recommends a corresponding tool that will analyze the data and resolve your VM performance issues.
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"IOPS (I/O operations per second) is an easily understood and communicated unit of measurement, which is why it’s so widely used. Unfortunately, it’s also easy to oversimplify. IOPS describes only the number of times an application, OS or VM is reading or writing to storage each second. More IOPS means more disk I/O, and if all IOPS are created equal, we should be able to measure disk activity with it alone. But they aren’t.
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