Blog Archives

Why Production Workload Modeling for NVMe?

Enterprises are relying on a growing number of applications to run their business. At the same time, these applications carry requirements including performance levels that are simultaneously more divergent and dynamic than ever before. New applications are being spun up

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Posted in Blog

What is Workload Modeling?

Workload modeling is the process of capturing the IO patterns of a workload so that it can be played back later in a different environment. The goal is to provide a very close simulation of how that workload will respond

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Making NVMe and NVMeoF Testing Accessible for the Enterprise – SANBlaze Briefing Note

Non-volatile memory express (NVMe) storage media and NVMe-over Fabrics (NVMeoF) storage network protocols open the door for new levels of performance and latency demanded by intensive, modern workloads such as big data analytics and artificial intelligence. However, the higher price

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Posted in Briefing Note

Using Workload Simulation to Justify the Shift to NVMe

The introduction of the non-volatile memory express (NVMe) storage protocol brings with it a new storage performance tier. Whereas older Small Computer System Interface (SCSI) and Advanced Technology Attachment (ATA) standards were designed for slower-performing hard disk drive (HDDs) and

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Is All-NVMe Worth Your Money? – WorkloadWisdom 6.2 Virtual Instruments Briefing Note

All-Flash Arrays (AFA), the goto high performance storage system for the past few years, is being replaced by All-NVMe. NVMe flash promises to improve performance by reducing latency and increasing bandwidth to flash based media. NVMe is PCIe based instead

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Posted in Briefing Note

Webinar: Does Your Data Center Need NVMe?

NVMe storage systems and NVMe networks promise to reduce latency further and increase performance beyond what SAS based flash systems and current networking technology can deliver. To take advantage of that performance gain, however, the data center must have workloads

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Posted in Webinar

Using Machine Learning to Eliminate Data Center War Rooms – Virtual Instruments Briefing Note

According to Dimensional Research, over 60% of enterprises experience two or more significant application performance issues per month. In the modern data center, most users equate poor performance the same as application downtime. Performance issues, though, are usually much harder

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Posted in Briefing Note

Any Cloud Strategy Requires Understanding On-Premises Workloads

Is a Cloud First Strategy Right for IT? The cloud is a resource that most data centers are trying to factor into their future IT planning. Early adopters have found though that not all their workloads work properly, or at

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Posted in Article

Creating a Storage Performance Validation Practice – Virtual Instruments Briefing Note

Storage architects have the responsibility to place workloads properly on the right storage tier. Workload placement requires a careful balance between the correct level of performance and the right price. The problem is these architects do not have the tools

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Posted in Briefing Note

Putting the Wheels Back on Your Data Center Modernization Project

Most Global 2000 IT Infrastructure and Operations Managers feel like the wheels have come off their data center modernization project. The goal was to create an environment that can respond to the needs of thousands of applications simultaneously and automatically.

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Posted in Article