Hugo Guerrero is principal technical product marketing manager at Kong.
Read more from Hugo Guerrero

Over the last decade, the industry accepted a simple truth: If you wanted a Software as a Service (SaaS) product, you consumed it in the cloud that the vendor selected.
Convenience won over flexibility. Vendors built on their preferred hyperscaler, customers followed and that single operational model shaped the boundaries of what was possible.
That era is fading. A different pattern is rising, driven by architectural principles creating freedom, not friction. The separation of the control plane and the data plane is one of the most powerful of these principles. It is fundamentally reshaping the way software can be delivered, adopted, governed and operated.
To understand why this shift is so significant, we must first define the roles of these two layers. In a traditional, monolithic SaaS architecture, these planes are fused together. In a decoupled architecture, they serve distinct, specialized purposes.
The control plane is the “brain” of the operation. It handles configuration management, user authentication, governance, API orchestration and the overall “intelligence” of the platform. It provides the UI and the management layer that users interact with.
The data plane is the “muscle.” It handles the actual execution of traffic, processing of raw data, running of containers or storage of sensitive information. It is where the heavy lifting happens.
When these two parts of a system are tightly coupled, the vendor decides everything:
Customers adapt to these constraints instead of shaping the platform around their reality.
When the two planes are decoupled, the vendor operates the control plane as a service, providing a consistent, global experience. The customer decides where the data plane runs, often inside their own cloud account or on their private infrastructure. Each plane becomes independent yet coordinated, evolving at its own pace.
This separation gives birth to a model quickly gaining traction: Bring Your Own Cloud (BYOC).
Customers are no longer forced into a central, multitenant deployment controlled entirely by the vendor. Instead, the data plane can live inside the customer’s environment. The vendor still provides the innovation, automation, governance flows and intelligence through the control plane. This helps the customer gain crucial ownership of their operational boundary.
This BYOC model solves problems the old, fully managed approach could never address:
In an era of increasing regulation, such as GDPR and the California Consumer Privacy Act, where data lives is a matter of legal survival. Decoupling allows sensitive workloads to stay inside the customer’s geographic and logical perimeter. The data never leaves the customer’s environment to be processed by the vendor, yet the customer still benefits from a modern, managed SaaS experience.
For data-intensive applications, such as real-time analytics, AI model training or high-frequency financial processing, latency is the enemy. Moving terabytes of data to a vendor’s cloud for processing is often slow and expensive. With a decoupled data plane, the processing happens where the data already sits. This eliminates the “egress tax” and the performance lag of cross-cloud communication.
When a vendor hosts the data plane, they often mark up the underlying infrastructure costs to cover their overhead. In the BYOC model, customers use their own cloud accounts and use their existing committed spend and enterprise discounts with providers like AWS or Google Cloud. This creates a much cleaner alignment between usage and cost.
Security teams often view third-party SaaS as a “black box” that introduces risk. By keeping the data plane under the customer’s monitoring and access controls, the organization maintains its existing security posture. It can apply its own firewall rules, use its own logging tools and ensure the vendor’s employees never have direct access to raw data.
Instead of a single rigid deployment pattern, we get a flexible setup that fits each organization’s reality.
This architectural shift also changes the dynamics between platform builders and the companies adopting them. Vendors gain a way to deliver modern SaaS without taking on the operational weight of hosting every workload. Customers keep control of their environment while benefiting from constant improvements in the control plane.
Decoupling leads to a healthier, more collaborative model. Vendors can deliver modern, high-value software without incurring the massive operational cost and liability of hosting every customer’s workload. They can concentrate on what they do best: innovating the software and control logic.
For the customer, the “fear of the cloud” fades. The customer maintains control over its environment and data while taking advantage of the control plane’s rapid innovation cycle. When a vendor pushes an update, the control plane instantly reflects it, and the data plane, wherever it may be, is coordinated to follow. This is a “shared responsibility” model that truly feels balanced.
Decoupling the control plane and the data plane is not a small technical detail. It is a foundational pattern that will define the next generation of platforms. It supports a future valuing autonomy, interoperability and trust. It encourages architectures where customers stay in control of their workloads while vendors focus on innovation.
The last decade belonged to centralized, multitenant SaaS. It was an era defined by the vendor’s convenience. The next decade is shaping up to be more sophisticated, flexible and collaborative.
Decoupling the control and data planes is the architectural foundation of this new era. It is a natural consequence of a market that has matured. Modern organizations no longer want to be told where their data must live. They want the software to meet them where they already are.
Bring Your Own Cloud is not merely a marketing term. It is a natural consequence of an architecture that finally aligns with the way modern organizations want to operate.
If you are building platforms or evaluating the next wave of infrastructure, this pattern should be at the center of your thinking. It is becoming one of the clearest paths to delivering software that meets customers where they are, not where the vendor prefers them to be.
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Source: thenewstack.io…