Untold Story of Cloud Capacity

Even with the extensive and seemingly boundless resources that cloud can offer, it’s crucial to acknowledge that there is still a limit. That limit becomes very apparent when you’re working on large workloads within a tight schedule.

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Navigating the complexities of cloud environments can often feel like trying to solve a Rubik’s Cube while riding a unicycle. It’s not just about spinning up virtual machines or deploying apps; there’s a whole other layer that revolves around capacity management. And let’s face it, even with the extensive and seemingly boundless resources that cloud can offer, it’s crucial to acknowledge that there is still a limit. That limit becomes very apparent when you’re working on large workloads within a tight schedule. It’s the equivalent of trying to park a freight train in a compact car spot—you’ve got to plan it right or things go south real quick.

Earlier this year, I was working with a large enterprise customer, and let me tell you, their project was anything but straightforward. They needed to deploy a new workload in a very short amount of time. As you might expect, they ran into multiple critical issues that opened up support cases. Many of these issues revolved around capacity. In this case, neither the customer nor our internal team had a clear handle on how to plan for the resources needed. The customer’s team was attempting to establish their first data center in this cloud environment, so they were in a learning phase. And the clock was ticking.

Given the urgency and the mutual frustrations, I introduced a Demand and Input template. This wasn’t some magic wand, but it helped us communicate the essential requirements in a standardized way, which is invaluable in an environment of chaos. Both the internal and external teams were better aligned because we cut down on the back-and-forths. The template was a one-off solution that allowed both parties to fill in what they knew, so we could arrive at a consensus faster. As the customer’s VP subtly indicated, “This is our first experience setting up a data center in this particular cloud environment. Naturally, there’s going to be some trial and error, including back-and-forth discussions and adjustments to our resource needs. However, once the initial setup is complete, we’ll be able to provide more predictable and advanced notices for future requirements.” It was about being on a learning curve together, but more efficiently.

This experience reinforced the idea that the key to successful capacity management in cloud environments boils down to three things: clarity, one-time communication, and consistency. While we’re on the subject, it subtly reminds me of a framework called Service-Dominant Logic, or S-D Logic, which also champions the idea of collaboration and value co-creation. With that in mind, effective capacity management becomes not just an operational necessity but a strategic asset. First off, both parties need to know what they’re getting into. No more fuzzy expectations or vague requirements. When you lay out what’s needed for capacity planning from the get-go, it reduces friction. Secondly, one-time communication can be a real game-changer. A well-designed template consolidates all the critical information in one go, cutting down on wasteful back-and-forths. And finally, consistency is the glue that holds all this together, serving as a reliable reference point for everyone involved.

In the realm of customer relationship management, these principles also ring true. A transparent and efficient process for capacity planning not only gets the job done but also builds trust with the customer. You become more than just a vendor; you’re a strategic partner. This kind of mutual respect and value creation lays the groundwork for a long-term relationship that goes beyond just this one project.

So, there you have it. Whether you’re a cloud newbie or a seasoned expert, these principles hold true. The cloud might seem like an endless sky, but even it has a horizon. And if you’re going to navigate that space successfully, especially for large projects with tight timelines, effective communication and thoughtful capacity management are your best co-pilots.