2 posts tagged with "multi-cloud"

In our previous post on Cloud-Native foundations, we explored why running on one cloud isn't lock-in—but designing for one cloud is. Now let's look at how to implement that portability.

Portability is not defined by the ability to run everywhere simultaneously, as that is often a path toward over-engineering. It is, more accurately, a function of reversibility. It provides the technical confidence that if a migration becomes necessary, the system can support it. This quality is not derived from a specific cloud provider, but rather from the deliberate layering of code and environment. While many teams focus on the destination of their deployment, true portability is found in the methodology of the build.

Cloud-native began with containers and Kubernetes. Since then, it has become a set of open standards and protocols that let systems run anywhere with minimal friction.

Today's engineering landscape spans public clouds, private clouds, on-prem clusters, and edge environments - far beyond the old single-cloud model. Teams work this way because it's the only practical response to cost, regulation, latency, hardware availability, and outages.

If you expect change, you need an architecture that can handle it.