So, you want to increase the agility of your business. You like the idea of having the ability to create new test environments in the blink of an eye, to increase the speed of your development processes, and to have the ability to scale infrastructure at a moment’s notice. In order to reach these goals, your gut is probably telling you that it’s time to move to the public cloud. Before you jump ship, though, you may want to consider your options a bit further.
While many cloud-native applications are a great fit for the public cloud, there are several other business applications that aren’t so well-suited to going this direction. This may be due to the costs and time constraints associated with recoding, refactoring, and building application resiliency. Regardless of these constraints, though, these applications still need a high degree of agility. What’s the solution? This is where the enterprise cloud comes into play.
In the model for enterprise cloud computing, a building block method is used that isn’t too dissimilar from the public cloud. In this way, the application is able to snap right into an existing infrastructure while adding web services and scaling at lightning speed. In fact, with the right architecture, the enterprise cloud can act as a significant time saver, thus boosting business-wide productivity. Now the only question is, how can you build an enterprise-ready cloud platform? Here’s a look at the 3 “A’s” of enterprise cloud computing.
When a business like your own demands agility, you absolutely cannot rely on constantly intervening manually. In other words, your enterprise cloud platform needs to have the ability to work autonomously. You should really just have the ability to plug it in and have it work, in a manner of speaking. Although the majority of solutions will boast this level of simplicity, it’s still smart to put these claims to the test. You can do this by verifying whether or not LUNs are involved with the solution. LUNs can create problems as they demand that you lump multiple applications together into one LUN, often fight over resources, and lead to unpredictable performance. On top of everything else, it doesn’t scale well. You’re much better off finding a solution that ensures that all of its applications separated from one another - autonomously.
Ever wish there were more hours in a day? An enterprise cloud solution can’t extend the hours on a clock, but it can help you operate more efficiently through automation. Instead of wasting hours of manual labor and monitoring on repetitive tests like provisioning new verbal machines or applying protection standards, you can adopt a cloud-based solution that will automate these processes. In fact, putting automation into place early on can actually help you ensure that any policies and practices established for your first VMs will simplify the process of growing to 5,000 or even 50,000 VMs later on without ever having to increase staff hours to manage all of it.
Analytics are the key to keeping tabs on large and ever-growing enterprises. In order to be successful, an enterprise cloud platform should provide analytics that span your total infrastructure so that you can get an up-to-the-minute look at what’s going on within each of your applications within your computers, networks, and storage. In addition to this, it should offer predictive analytics that can be used for what-if scenarios, predictive analysis, etc. Analytics are what keep you growing in the right direction.
Is the public cloud a viable option for your business, or would you do better with enterprise cloud computing? The experts at Uncommon Solutions are here to provide you with objective advice so that you can make the right decision for your organization. Give us a call to learn more today.