Welcome!

Python Authors: Pat Romanski, Matt Davis, AppDynamics Blog, Donald Meyer, Liz McMillan

News Feed Item

PHD Virtual Provides Easier to Manage and More Efficient Backup Solutions for Enterprise Environments

PHD Virtual Technologies, a pioneer in virtual machine backup and recovery, and innovator of virtualization monitoring solutions, announced today their solutions are well-suited for large enterprise environments as well as small businesses with growing data storage, backup and recovery needs.

Get PHDVB v6.0 for 15 Days Click Here

Tweet This: @PHDVirtual Provides Enterprises with Virtual Machine Backup and Recovery Solutions Fit to Scale http://bit.ly/HyPclv

PHD Virtual Backup 6.0 gives customers of all sizes the scalability and flexibility they need, but for large enterprises, these products make backup processes easier to manage and more efficient, while also providing fully recoverable data at a moment’s notice. They also consume the least amount of overhead and capital when compared to other products on the market and provide encrypted data protection that is required at larger enterprises.

"Customers continue to embrace server virtualization and are increasingly deploying multiple hypervisors," said Robert Amatruda, Research Director for Data Protection and Recovery at IDC. "PHD Virtual's Backup 6.0 solution provides customers a cost-effective and easy-to-deploy solution that supports multiple hypervisors and will scale with their virtual environment.”

“In addition to the growth we have experienced within the SMB market, we’ve seen a major uptick in our penetration in the larger enterprise environments as well,” commented Jim Legg, CEO, PHD Virtual. “The simplicity and cost-savings are definitely not exclusive to the smaller organizations – the ease of use and data movement offsite provides a powerful combination for any size corporation.”

PHD Virtual benefits for large enterprise environments include the following:

  • Complete or partial restorations - provides administrators with the ability to restore a complete server from scratch, by simply selecting a restore point and target. No agents, no operating system install, just restore a complete duplicate of the VM.
  • TrueDedupe technology - a true source-side deduplication of data, meaning the deduplication and compression of the source data is performed before sending the information across the WAN/LAN and before the data is written to disk. This type of efficient deduplication is critical for enterprises that require disk space to house the backups for massive amounts of data while also being more scalable and pairing down the overall backup window time. PHD performs deduplication by comparing REAL data existing on the backup target while ensuring to eliminate duplicate copies of data across ALL VMs stored on the target making it more robust and preventing unnecessary job management to achieve storage efficiencies.
  • Parallel processing model – this provides the ability to use multiple data streams for backing up, restoring, and replicating with the result that multiple jobs can run concurrently, In addition, parallel processing allows the user to throttle, increasing or decreasing the resources used for processing to balance the work load and timing of the backup window in the data center.
  • Fault tolerant scaling – provides a 100% virtualized footprint for your backups running on a Linux-based application that can scale up and out by simply deploying more Virtual Backup Appliances (VBAs) giving the ability to create fault tolerance and load balancing, while providing performance that is required without the extra cost of more physical infrastructure or extra licensing.
  • Replication – by backing up VMs once and storing them to disk, PHD Virtual Backup eliminates the need for unnecessary snapshots on your production VMs while maintaining the extra layer of protection of having the replicated VMs located offsite.
  • Disaster recovery planning – PHD Virtual provides:
    • TrueRestore: a verification and self-healing process in which the blocks being backed up are inspected both during the backup and restore functions. By doing this, PHD ensures that the data being backed up is indeed the same data that is going to be restored.
    • Test-Mode: provides the ability to run replicated VMs in a test mode located in a standby environment. This gives peace of mind that the standby VM has been verified, is completely operational and can be properly failed over.
  • Data recovery – PHD Virtual’s Instant Restore provides more savvy recovery methods by allowing administrators to immediately power on the backup VMs and begin a restore process simultaneously. By doing so, PHD provides immediate access to servers and applications and also leverages concurrent data streams, allowing them to implement a technology called “mass restore,” which creates and configures a single restore job that will process multiple VMs at the same time, again reducing complexity and reducing the company’s RTO. Granular restore is more common than a complete data center restore, so PHD has provided support within their products to restore a file, virtual disk within a VM, or single application object, such as an email, mailbox, datastore, database, table, etc. This feature provides the functionality to restore only what you need, when you need it, without setting up any virtual labs or sandboxes to speed up recovery time and prevent unnecessary data loss.
  • Backing up a constantly evolving data center – PHD Virtual allows administrators to plug a backup appliance or VBA into virtually any environment, including the cloud or software defined data center (SDDC) or a remote or branch office, ensuring data is safe and recoverable.

“PHD Virtual does VMware backup better than anyone else, especially for enterprises like us,” said Barry Quiel, SunGard Public Sector, California. “For our large environment, we needed someone that specialized in moving lots of virtual machine data, while storing as little as possible of it. We also need plenty of options to handle how we move data off-site and to tape. PHD Virtual gives us all of the options we needed to make sure our VMware environment meets our enterprise data protection requirements.”

Supporting Resources

PHD Virtual Technologies: http://phdvirtual.com/

More PHD Virtual News: http://phdvirtual.com/newsandevents

Twitter: https://twitter.com/PHDVirtual

Facebook: http://www.facebook.com/PHDVirtualTechnologies

LinkedIn: http://www.linkedin.com/groups?gid=1992663&mostPopular=&trk=tyah

RSS Feeds: PHD Virtual news releases: http://www.phdvirtual.com/rss/news-and-events.xml

About PHD Virtual Technologies

PHD Virtual provides the absolute best value in virtual backup and monitoring for VMware and Citrix platforms. More than 4,500 customers worldwide rely on our products because they are effective, easier to use and far more affordable than competitive alternatives. Delivering the highest performance and most scalable cross platform backup and monitoring solutions on the market and pioneer of Virtual Backup Appliances (VBAs), PHD Virtual Technologies has been transforming data protection for virtual IT environments since 2006. Its PHD Virtual Monitor provides a complete, end-to-end solution for monitoring virtual, physical and application infrastructures in VMware and Citrix environments. For more information, please visit: http://www.phdvirtual.com/

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
Disruption, Innovation, Artificial Intelligence and Machine Learning, Leadership and Management hear these words all day every day... lofty goals but how do we make it real? Add to that, that simply put, people don't like change. But what if we could implement and utilize these enterprise tools in a fast and "Non-Disruptive" way, enabling us to glean insights about our business, identify and reduce exposure, risk and liability, and secure business continuity?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists discussed what things are the most important, which will have the most profound e...
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and ...
In today's enterprise, digital transformation represents organizational change even more so than technology change, as customer preferences and behavior drive end-to-end transformation across lines of business as well as IT. To capitalize on the ubiquitous disruption driving this transformation, companies must be able to innovate at an increasingly rapid pace.
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
"MobiDev is a Ukraine-based software development company. We do mobile development, and we're specialists in that. But we do full stack software development for entrepreneurs, for emerging companies, and for enterprise ventures," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...