This IDC vendor profile analyzes Cirba’s Software-Defined Infrastructure Control with workload aware predictive analytics.
“Customers interviewed by IDC credit Cirba with helping them substantially reduce infrastructure and software licensing costs by improving the density of their environments without compromising application and workload performance.”
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.
The cloud has revolutionized the way we build IT systems within enterprises. Indeed, enterprise IT’s goal since the inception of cloud computing has been to replicate the power of cloud computing within their own data centers. The trouble is that cloud computing systems were built net-new, which meant they could start from scratch and thus be more innovative with the use of cloud-based resources using the most modern technology and approaches available. Enterprises don’t have the same luxury. Decades of enterprise hardware and software purchases exist at different levels of maturation, and those structures must also support mission-critical systems in operations.
However, things are changing. New technology now provides enterprises with the public cloud experience,which includes:
The private cloud offers most of the advantages of the public cloud: Self-service and scalability, multi-tenancy, the ability to provision machines, and change computing resources on-demand. Private cloud also improves on security by limiting access to key IT people. Complexities are emerging for DevOps teams around their "infrastructure as code" practices as larger companies consider moving their most business-critical applications off the public cloud and onto private/hybrid clouds.
Complexity issues include:
Private clouds are specialized cloud computing implementations that are purpose-built to address some limitation or shortcoming around the use of public clouds. Core factors that drive private cloud adoption are compliance, security, and even the sense of control that many in enterprise IT require. Or, think they require.
As DevOps organizations are built within enterprises, private clouds as the deployment platforms mesh well with existing DevOps automation approaches and tool sets. Those within enterprises can tell you that private clouds are a sound architectural option, and they require “some time.” Just as public clouds require “some time.” Most enterprises will end up with both, using hybrid or multi-cloud implementations. In this paper, we’ll focus on private clouds, and the steps to successfully implement private clouds.