NetApp Vs Pure Storage – What Is the Netapp Vs Pure Storage Debate?
This is a guest post by John Smith, NetApp’s General Sales Manager for the North America Region.
What is the netapp vs. pure storage debate? Well, first and foremost, we want to address the core issue that has plagued the industry for so long now – price. Pure storage is the standard. What has been a fundamental misunderstanding is that pure storage is a high-end piece of hardware, and that netapp is a low-end piece of what we refer to as “hardware”.
The netapp vs pure storage debate has been largely centered around the price of pure storage.
Pure storage has a relatively low initial cost. However, once you have installed your software and get things going, the hardware is a very significant portion of the overall hardware expense. The first step in installing software is to set up your software on your netapp. The software is then installed on the bare hardware, or on the bare hardware plus the bare netapp.
If you have a new environment, and you are running on a bare bare hardware server, you will be very slowly paying for the first year on pure storage. We have seen this happen a number of times, which drives us to this conclusion. Let’s look at the first year of running on pure storage for a customer.
We’re running on bare hardware here. The bare hardware costs $400 per month. In the first year of using pure storage (which we’ve done for over 4 years now), we paid $4,000 to fully install the bare bare hardware, plus $2,500 for the netapp. If the bare hardware costs $100, the netapp costs $1,000. That’s a $400 cost per month, plus a $400 per month plus the cost of the initial installation.
Do You Need All-Flash, All the Time?
Security News | Computer Security 2/11; Computer Security 2/12.
This article presents information about the use of the Windows Vista kernel mode driver. The article discusses the necessity of drivers that support a wide range of platforms. The article also discusses the use of the Microsoft hardware enumeration utility in Windows Vista. The article is designed for the technically aware general user and computer security specialist.
A number of readers have written to me to ask whether or not running “All-Flash” on a Windows Vista system is a good idea. My reply to a short questionnaire sent out by Windows and Microsoft on the topic of all-flash was along the lines of “I never said that was a good idea — I said it wasn’t a good idea. Your opinion is irrelevant.
But there are problems with all-flash. The most significant problem is, as reported by some users, the inability to boot from a CD-ROM after a reboot. I have not yet encountered this problem. (Note that a few readers have confirmed experience with this problem.
This article discusses the need for drivers that support a wide range of platforms. The article also discusses the use of the Microsoft hardware enumeration utility in Windows Vista. The article is designed for the technically aware general user and computer security specialist.
The article is not intended to be a how-to manual on the use of drivers; rather, it is presented as a guide to the use of drivers on a Windows Vista system. For the more advanced reader, the article presents the theory and mechanics of using a driver, rather than presenting some specific code to load the driver on the system.
Some readers say that “All-Flash” is a good idea, and are willing to accept any advice presented about the drivers available from Microsoft or from other sources. Others have a better idea and are quite upset that I did not agree with them.
The problem with all-flash and running a BIOS in DOS mode on Windows Vista is, according to some of the readers, that it is not always easy to boot the system from a CD-ROM which will not perform a system restore. My reply to a short questionnaire sent out by Windows and Microsoft on the topic was along the lines of “I never said that was a good idea — I said it wasn’t a good idea”.
Pure storage: An all-flash array for data centres
Over the last couple of years the volume of data that is moved between servers and storage devices has outgrown the capacity of today’s traditional servers, leaving data centres unable to efficiently manage storage infrastructure. To cope with this challenge, data centres have implemented pure data centres to store all data from all sources, regardless of the network type used, resulting in a significant increase in network capacity, and in energy consumption. However, by storing all data in the same building, they can also put all data in an un-coupled state, limiting the amount of data that can be moved, and making the environment an ideal environment for the evolution of the most sophisticated cyber-attack vectors, such as ransomware or denial-of-service (DoS) attacks. The concept of pure data centres was first introduced by the National Physical Laboratory to store data within racks of servers, and has been successfully implemented in many data centres, but only as part of distributed storage. The concept of pure data centres could be further extended to other servers, and other types of storage devices, and this paper will discuss several concepts that can be used for pure storage in data centres. In what follows, these concepts are explained in detail, and in addition, the advantages of the pure storage concept will be discussed in detail.
In the last couple of years the amount of data that is moved between servers and storage devices has outgrown the capacity of today’s traditional servers, leaving data centres unable to efficiently manage storage infrastructure. The increase in data volume that is stored in the same data centre increases the number of data sources that are required to be stored, which can make data centres more expensive than traditional infrastructure due to the increased infrastructure costs due to the additional data sources, as well as the higher amount of energy they use. In addition to these main problems associated with the storage of data, these environments lack the level of flexibility and autonomy that is essential to modern business practice.
To cope with the challenge of efficiently managing storage infrastructure, some data centres have implemented pure data centres to store all data from all source types, regardless of the network type used.
Data Hub: A Modern Storage Architecture
Computer systems and their components have become increasingly interconnected over the years. To accommodate this, a variety of information systems applications have been developed, the details of which will be briefly described in this article.
Computer systems that are designed by a computer scientist will need to support not only storage but also processing at the level of a computer. One major problem with this is the ability of a computer system to handle a rapidly changing workload. The problem with rapidly changing workloads is that they tend to result in a relatively large amount of data to process. A solution to this problem is to have multiple processors or processing devices (a “data processing unit” or “DPU”) that work together to perform a task. However, by having multiple processors or devices, one processor or device may be doing a lot of processing and the other is only doing a little processing. Thus, the data processing performance of the first process is not available. A better method for improving the performance of data processing is to share information among multiple processors or devices.
A data hub is an abstraction that allows for the sharing of information among several processors or devices. The purpose of a data hub is to eliminate the processor or device that is performing the least amount of work. Data hubs are also commonly referred to as high bandwidth data paths (HBTs). HBTs may be implemented over wide area networks (WANs) or may be implemented over local area networks (LANs). HBTs are a form of distributed parallel processing, in which multiple processors or devices use a common bus to communicate with each other. Typically, a common bus is implemented by using a packet-based architecture.
Data hubs may be implemented over both packet-based and network-based architectures. Although many different data paths have been defined, data paths are usually defined by a bus topology and a link-layer protocol. In a packet-based architecture, there is only one directionality for data transfer, and in a network-based architecture, data transfers are bidirectional.
A typical data hub is a processor or device that has multiple processors or devices directly connected across a local or private network to a data processing unit (DPU).
Tips of the Day in Computer Security
To help you learn more about the information security threats you’ll face this week, we have collected the top 10 tips and best practices from experts and practitioners in the information security field. So, get ready to put these into practice this week.
When you know exactly what to do, do it.
According to the Office of the National Coordinator for Cybersecurity, “You must know exactly how to operate information technology and network resources and how to protect your network and information by using the best policies, procedures and controls to keep your network secure.
Know the rules of the game. If you don’t know the rules, you can’t play the game.
The basics are simple: know which services and applications are run on which platforms (i. Windows, *nix, OSX, iOS).
Know the basics of what you are storing your information on and how that is accessed.
Keep up-to-date on security issues and how they affect you.
Use security software.