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Showing 1 - 9 of 9 white papers, page 1 of 1.
Server Capacity Defrag
This is not a paper on disk defrag. Although conceptually similar, it describes an entirely new approach to server optimization that performs a similar operation on the compute, memory and IO capacity of entire virtual and cloud environments.

This is not a paper on disk defrag. Although conceptually similar, it describes an entirely new approach to server optimization that performs a similar operation on the compute, memory and IO capacity of entire virtual and cloud environments.

Capacity defragmentation is a concept that is becoming increasingly important in the management of modern data centers. As virtualization increases its penetration into production environments, and as public and private clouds move to the forefront of the IT mindset, the ability to leverage this newly-found agility while at the same driving high efficiency (and low risk) is a real game changer. This white paper outlines how managers of IT environments make the transition from old-school capacity management to new-school efficiency management.

Boone County Health Center Runs Faster with Infinio
Boone County Health Center’s IT team needed a solution to improve the response times of virtual desktops during their peak times of morning usage when most employees log on for the day.
Boone County Health Center’s IT team needed a solution to improve the response times of virtual desktops during their peak times of morning usage when most employees log on for the day. Employees access electronic medical records (EMR), business reports, financial data, email and other essential applications required to manage daily operations and provide optimum patient care. Some medical staff and administrators occasionally log in from their homes on personal devices such as laptops or iPads. The Health Center initially considered purchasing an add-on all-flash array for the VDI to help eliminate slow response periods during boot storms. However, before making this type of investment, the Center wanted to explore other alternative solutions.
Masergy accelerates VDI and storage performance with Infinio
To support its global users, Masergy needed to accelerate its virtual desktop infrastructure (VDI) and was unconvinced that spending budget on solid-state drive (SSD) solutions would work.
To support its global users, Masergy needed to accelerate its virtual desktop infrastructure (VDI) and was unconvinced that spending budget on solid-state drive (SSD) solutions would work. The team was investigating SSD solutions and options from SanDisk, VMware and Dell, as well as all-flash arrays, when it discovered Infinio at VMworld 2014. Unlike the solutions Masergy considered previously, the simplicity of the Infinio Accelerator and low price point caught the Masergy team’s attention. Fewer than six months later, Masergy’s Infinio installation was under way. Infinio provides an alternative to expensive, hardware-based solutions to address VDI performance, which is what Masergy wanted to improve.
Boosting Storage Performance from the Server Side
Server-side storage acceleration solutions allow system architects to provide their applications with a significant boost in storage performance without the disruption of an upgrade...
Server-side storage acceleration solutions allow system architects to provide their applications with a significant boost in storage performance without the disruption of an upgrade. In this whitepaper, learn how using memory, RAM and/or non-volatile flash memory in the server to boost storage performance can provide lower latencies at lower cost by decoupling performance and capacity.
Why Parallel I/O & Moore's Law Enable Virtualization and SDDC to Achieve their Potential
Today’s demanding applications, especially within virtualized environments, require high performance from storage to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads. In a world that requires near instant response times and increasingly faster access to data, the needs of business-critical tier 1 enterprise applications, such as databases including SQL, Oracle and SAP, have been largely unmet.

Today’s demanding applications, especially within virtualized environments, require high performance from storage to keep up with the rate of data acquisition and unpredictable demands of enterprise workloads. In a world that requires near instant response times and increasingly faster access to data, the needs of business-critical tier 1 enterprise applications, such as databases including SQL, Oracle and SAP, have been largely unmet. 

The major bottleneck holding back the industry is I/O performance. This is because current systems still rely on device -level optimizations tied to specific disk and flash technologies since they don’t have software optimizations that can fully harness the latest advances in more powerful server system technologies such as multicore architectures. Therefore, they have not been able to keep up with the pace of Moore’s Law.

Waiting on IO: The Straw That Broke Virtualization’s Back
In this paper, we will discuss DataCore’s underlying parallel architecture, how it evolved over the years and how it results in a markedly different way to address the craving for IOPS (input/output operations per second) in a software-defined world.
Despite the increasing horsepower of modern multi-core processors and the promise of virtualization, we’re seeing relatively little progress in the amount of concurrent work they accomplish. That’s why we’re having to buy a lot more virtualized servers than we expected.

On closer examination, we find the root cause to be IO-starved virtual machines (VMs), especially for heavy online transactional processing (OLTP) apps, databases and mainstream IO-intensive workloads. Plenty of compute power is at their disposal, but servers have a tough time fielding inputs and outputs. This gives rise to an odd phenomenon of stalled virtualized apps while many processor cores remain idle.

So how exactly do we crank up IOs to keep up with the computational appetite while shaving costs? This can best be achieved by parallel IO technology designed to process IO across many cores simultaneously, thereby putting those idle CPUs to work. Such technology has been developed by DataCore Software, a long-time master of parallelism in the field of storage virtualization.

In this paper, we will discuss DataCore’s underlying parallel architecture, how it evolved over the years and how it results in a markedly different way to address the craving for IOPS (input/output operations per second) in a software-defined world.

Unlock the Full Performance of Your Servers
Unlock the full performance of your servers with DataCore Adaptive Parallel I/O Software

Unlock the full performance of your servers with DataCore Adaptive Parallel I/O Software.

The Problem:

Current systems don't have software optimizations that can fully harness the latest advances in more powerful server system technologies.

As a result, I/O performance has been the major bottleneck holding back the industry.

True 15-Minute RTO for Mission-Critical VM Systems with Vembu VMBackup Replication
Vembu Backup & Disaster Recovery (BDR) provides IT with a Disaster Recovery Management (DRM) system capable of meeting even more aggressive RTO and RPO goals than the previous release. For highly active database-driven systems, Vembu VMBackup leverages VMtools and VMware Changed Block Tracking (CBT) to perform incremental backups in 15-minute intervals with minimal impact on query processing. As a result, IT can limit data loss to 15 minutes of processing on active mission critical VMs.

The only way to recover a VM with full functionality and full performance without performing an explicit restore operation is through VM replication. Maintaining a replica VM, however, requires frequent and potentially expensive update processes that involve both explicit backup and implicit restore operations. To enable the extensive use of replication by IT, VMBackup adds critical optimizations to both restore and replication operations that dramatically minimize overhead on ESXi hosts and production VMs to just VM snapshot processing. Specifically, a BDR Backup server running on a VM is able to leverage hot-add SCSI transfer mode to write logical disk and logical disk snapshot files directly to a vSphere datastore, without involving the ESXi host for anything more than creating a VM snapshot.

A key a value proposition for Vembu VMBackup is its ability to directly read and write all backup and restore data directly to and from a datastore snapshot. As a result, Vembu VMBackup offloads all I/O overhead from production VMs and ESXi hosts, which is critical for maintaining an aggressive DRM strategy in a highly active virtual environment. What’s more, the performance of Vembu VMBackup in openBench lab's test environment made it possible to enhance support for a mission-critical OLTP application running on a VM using a combination of incremental backups for backup and replication. As a result, they were able to comply with a 30-minute RPO, restore the VM to a production environment in 5 minutes, and return to full-production level processing of business transactions—850 cTPS—in under 15 minutes.

VMBackup adds a new replica management module that enables an IT administrator to fully manage an initial failover and later finalize failover or failback with consolidation. In addition, BDR backup server simplifies all management functions by eliminating the need to run a separate client module on a BDR backup server, which becomes its own client within the BDR reporting hierarchy.

Top 5 Ways to Improve Your AWS EC2 Performance
How to detect AWS EC2 Performance problems, why they occur, and how to resolve them.

For many developers and system admins, AWS’ EC2 promises ease of deployment and instant scalability. But it also introduces significant changes to coding, deployment and maintenance – leading to performance issues such as unpredictable EBS disk I/O, EC2 instance ECU mismatches, and ELB load balancing traffic latency.

So how should you go about identifying and fixing them? This guide explains how to gain this visibility and details the five top EC2 performance issues to examine:

  • Why these issues occur
  • How to detect them
  • How to resolve these issues, or avoid them all together