Infrastructure for a Moving Target | Part 3 of 3
WHY ENTERPRISES NEED A PLATFORM OPERATOR, NOT ANOTHER INFRASTRUCTURE SILO.
By Brad Alexander
Chief Technology Officer, DartPoints
In this series
Key takeaway
A platform operator gives enterprises more than a place to deploy infrastructure. It brings colocation, connectivity, disaster recovery, private cloud, multi-tenant cloud, and hybrid cloud together in one operating model so the business can adapt as requirements change.
Enterprise infrastructure has never had more options. That is part of the problem.
A technology leader can put workloads in a hyperscale cloud, keep them on premises, move them into colocation, use private cloud, build a hybrid model, add disaster recovery, connect through multiple carriers, and tie it all back to existing applications. Every one of those options can be right in the right context.
The hard part is knowing how to make those decisions without creating more complexity than the business can support.
That is where the platform operator model matters.
A data center by itself gives a customer a place to put infrastructure. A platform operator should do more than that. It should give the customer practical building blocks, a consistent operating model, and a path to scale as requirements change.
Start where the customer is
Most enterprises are not starting with a blank sheet of paper.
They already have applications in production. They may have virtualization platforms, aging equipment, cloud environments that grew faster than expected, and disaster recovery requirements designed for an older operating model. They may also have business units adopting new tools faster than central IT can govern them.
That is the real starting point.
A platform operator has to meet the customer there. The job is not to force a big upfront decision or push every workload into one environment. The job is to understand the business problem, understand what the infrastructure needs to do, and build a path that gives the customer room to evolve.
That path may start with colocation. It may start with connectivity. It may start with disaster recovery, private cloud, or a hybrid model. In many cases, it will include more than one of those.
The value is not in any single building block. The value is in how those building blocks work together.
Hybrid is not one thing
Hybrid cloud is one of those terms that gets used so often that it starts to lose meaning.
Some people think hybrid means some workloads on premises and some in a hyperscale cloud. That can be true. But hybrid can also mean customer-owned infrastructure in a colocation facility connected to a provider cloud. It can mean private infrastructure for sensitive workloads and a multi-tenant environment for capacity or scale.
The point is not the label. The point is whether the operating model fits the workload.
Some workloads need hyperscale tooling and broad service availability. Some need predictable cost because they run all day, every day, and will not scale down on a schedule. Some need direct control because of data governance or regulatory requirements. Some need proximity because latency matters.
Some need a place to land because the enterprise data center is out of power, out of space, or out of time.
A good hybrid strategy starts with those requirements, not with a preferred destination.
Do not force the wrong decision too early
Most organizations do not have perfect visibility into what will happen over the next 18 to 24 months.
The business may change. Data requirements may change. Capacity may tighten. Costs may move. A new use case may become important. A workload that looked experimental may become part of daily operations.
That is why I do not like infrastructure strategies that depend on being perfectly right up front.
The better approach is to build flexibility into the plan from the beginning. That does not mean being vague. It means making decisions that preserve options instead of boxing the business in.
That is practical planning.
Day two support matters
The first deployment is only part of the work.
Once an application is live, the next set of questions begins. How does it connect to another environment? What happens when the business needs to add a partner? How does the team integrate with a cloud platform, another data center, a network provider, or a security model?
That is day two support, and it matters more than people think.
A lot of providers can deliver a contract and a set of resources. The harder work is helping the customer thread environments together after the first move. That is where infrastructure becomes operational. It is also where many plans get messy.
For a platform operator, the responsibility is not just to provide space, power, cloud, or connectivity. It is to help the customer make those pieces work together in a way the business can actually run.
Capacity has become an execution issue
The market is also putting more pressure on execution.
Power and deployment timelines are two of the biggest constraints right now. It is not enough to know that the business will need more capacity. The question is whether that capacity can be delivered, powered, connected, and brought online inside the window the business needs.
Providers have to think ahead because the capacity customers need tomorrow has to be prepared well before tomorrow. Enterprises have to think earlier because waiting until capacity becomes urgent usually narrows the options.
This is especially true as new workload patterns create more demand for power and density. The companies that handle it well will not be the ones that wait for a perfect picture. They will be the ones that plan around a moving target and make sure the next step does not close off the step after that.
What a platform operator should provide
At DartPoints, the platform operator model is about giving enterprises a practical way to scale without adding unnecessary complexity.
That means colocation, connectivity, disaster recovery, private cloud, multi-tenant cloud, and hybrid cloud inside one consistent operating model. It means starting with the customer’s current environment, not a generic reference architecture. It means understanding where scale matters and where it does not. It means helping customers control cost without cutting off the ability to grow.
It also means being honest about tradeoffs.
Hyperscale can be the right answer. On premises can be the right answer. Regional colocation can be the right answer. Private or hybrid cloud can be the right answer.
The work is matching the workload to the right environment and giving the business enough room to adjust as conditions change.
That is why the platform operator model is not just about infrastructure. It is about helping enterprises stay effective while the requirements keep moving.
The goal is not to be perfectly right on day one.
The goal is to make sure day one does not make day two harder.