Chapter 1: An Introduction to VMware Virtualization
Chapter 2: Backup and Recovery Methodologies
Chapter 3: Data Recovery in Virtual Environments
facing VM sprawl if you're experiencing an uncontrollable increase of
unused and unneeded objects in your virtual VMware environment. VM
sprawl occurs often in virtual infrastructures because they expand much
faster than physical, which can make management a challenge. The growing
number of virtualized workloads and applications generate “virtual
junk” causing VM sprawl issue. Eventually it can put you at risk of
running out of resources.
Getting virtual sprawl under control
will help you reallocate and better provision your existing storage, CPU
and memory resources between critical production workloads and
high-performance, virtualized applications. With proper resource
management, you can save money on extra hardware.
This white paper examines how you can avoid potential VM sprawl risks and automate proactive monitoring
by using Veeam ONE, a part of Veeam Availability Suite. Veeam ONE
will arm you with a list of VM sprawl indicators and explain how you can
pick up and configure a handy report kit to detect and eliminate VM
sprawl threats in your VMware environment.
Read this FREE white paper and learn how to:
DataCore Virtual SAN introduces the next evolution in Software-defined Storage (SDS) by creating high-performance and highly-available shared storage pools using the disks and flash storage in your servers. It addresses the requirements for fast and reliable access to storage across a cluster of servers at remote sites as well as in high-performance applications.Download this white paper to learn about:
• The technical aspects of DataCore’s Virtual SAN solution - a deep dive into converged storage• How DataCore Virtual SAN addresses IT challenges such as single points of failure, poor application performance, low storage efficiency and utilization, and high infrastructure costs.• Explore possible use cases and benefits of DataCore’s Virtual SAN
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.