Hybrid Cloud Management with Turbonomic
The promise of the hybrid cloud. It offers the flexibility that comes with being able to choose between a local data center, multiple public clouds, or a combination of both. It also lets you fully leverage your infrastructure while preserving your ability to rent compute, storage and network resources for unpredictable peaky workload demand. It’s no wonder that many enterprises are now leveraging AWS, Microsoft Azure, IBM Softlayer or VMware vCloud Air as part of their infrastructure. With this shift, application workloads are no longer restricted to a cluster or a data center.
As demand fluctuates public clouds offer an option for congestion relief. A playground for dev test or an option for disaster recovery. And that means workload mobility is here to stay. The ease of deploying new workloads to the public cloud has also created a new type of enterprise sprawl, with tens or hundreds of different accounts and departments across the enterprise, and a whole new definition of VM or container sprawl. So when is the right time to use the public cloud without breaking the bank? Not all application workloads are created equal, and guaranteeing application quality of service remains an elusive goal.
Should you first fully leverage your existing on premises, and then decide when to burst the occasional workload to ensure application QoS without cost overages. What about multi tier application architectures that require frequently communicated workloads, chatty components? To move closer to avoid significant inter-tier communication latency, while enterprises can appreciate the flexibility that comes with a choice between a local data center, multiple public cloud offerings, or some combination, a fundamental question remains. What, when, and where to run workloads to assure performance will maximize in efficiency?
VMTurbo’s [Turbonomic’s] real time control platform solves this fundamental challenge. Its patented approach leverages the market principles to provide actual decisions, of which workloads to run, when, and where. What configuration changes are required, and want to revision new resources locally or by leveraging a public cloud to meet increased demand. It enables you to fully sweat your existing assets, while maximizing performance.
The public cloud becomes a viable option for congestion relief, to assure performance where you can continue to focus on giving your developers and application owners a performant infrastructure. VM Turbo’s real time control does this while taking into account any policy or constraint, where the regulatory data can’t leave this country or business. Accounting is paying for these resources, marketing can’t use them. Its market based approach abstracts the datacenter into a demand driven commodity market, where every entity, for example, a VM or a container makes decisions based on the demand they face, and the price suppliers of resources, for example a certain storage array or network switch are offered.
For VMTurbo [Turbonomic] the public cloud is simply another data center in the environment, and an on demand supplier of compute, storage and network resources who need to meet real time application demand. VMTurbo [Turbonomic] assures that whenever it’s better for workload to run in the public cloud, and by better we mean application QoS is assured, an action will be taken at the right time to move it there. Preventing congestion, thus preventing QoS breaches from ever happening.
In turn, another action will be taken later when it’s time to bring the workload back. You now have sufficient resources locally. Why spend money on someone else’s infrastructure? VMTurbo’s [Turbonomic’s] actual decisions make managing hybrid cloud a reality. Enabling any workload to run on any infrastructure anywhere, anytime. Now and as you evolve your infrastructure and your data center for the future.