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.
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
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.
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 with DataCore Adaptive Parallel I/O Software.
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.
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.
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: