More and more businesses are always on. They have
expanded business into multiple time zones, operate online and are driving
operations in an economic and competitive pressure cooker. Add to that the very
nature of today’s IT environments – built on virtualized infrastructure and
more often leveraging cloud computing via private, public and hybrid models – that
are raising the stakes on business continuity and the need for an Always-On Design
Framework.
An Always-On Designe Framework is all about
improving availability and reliability, but it also closes the gap between
application design and users’ needs, accelerates deployment, enables better
support, improves budgeting and reins in costs. And an Always On architecture
promotes agility, focus and alignment – all of which drives real business
value.
To thrive, companies need to be agile. With an
Always-On architecture that is highly available, flexible and reliable,
enterprises can take advantage of reusable IT components in a service catalog,
such as a specific business service, that can be quickly provisioned. With
faster delivery of services, enterprises are more focused. They can save weeks
of time in development, provisioning and training, boosting agility, cutting
operational costs and achieving greater ROI. Enterprises are also better
aligned, because an Always On architecture promotes regular evaluation, validation
and prioritization of applications and services. That, in turn, aligns expectations
and capabilities early in the design process. It also improves clarity,
consistency and efficiency. But the real benefit is that users get what they
need, and can then be more productive.
Building an architecture to support an Always On
business can be done with an Always-On Design Framework, a proven method aimed
at helping growing companies maintain agility and flexibility while ensuring
measurable recovery for complex enterprise systems. All too often, businesses
build systems and then retro-fit disaster recovery requirements, miss
opportunities to leverage repeatable infrastructure that can increase expertise
and drive economies of scale, and use non-iterative planning and execution,
resulting in a lack of interaction with stakeholders that then drives gaps in
expectations.


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