Cloud
The full domain, and the other capabilities within it.
Hybrid cloud is the deliberate operation of on-premises and cloud infrastructure as one platform: shared connectivity, one identity model, one policy baseline, and a stated rule for where a workload belongs. It is an architecture in its own right, not a transitional state.
Most hybrid estates were not designed; they accumulated. The symptom is two of everything — two identity stores, two patching processes, two sets of firewall rules — and a team that has to remember which one applies. The cost shows up as operational friction and as controls enforced in one place and assumed in the other.
If more than one of these is true, this is usually the right place to start.
| Deliverable | What it contains |
|---|---|
| Connectivity design | Private links, routing and DNS between sites and cloud regions, including the behaviour expected when a link degrades or is lost. |
| Identity model | Directory of record, federation and access policy applied identically to cloud and on-premises resources. |
| Placement criteria | The stated test for where a workload should run, with each current system assessed against it and the outliers named. |
| Policy baseline | Configuration, tagging and guardrail standards expressed once and enforced in both environments. |
A reference, not a template. Your estate decides which parts apply and in what order they arrive.
Targets are agreed with you before the work starts, and reported against for its duration.
For most organisations with regulated data or physical systems it is permanent, and treating it as temporary is exactly what leaves it ungoverned. Design it as an end state you are willing to operate. If a full move later becomes possible, a governed hybrid is a far easier starting point than an accidental one.
It depends on bandwidth, latency sensitivity and how much you care about a predictable path. VPN over the internet is adequate for management traffic and modest volumes. Chatty application traffic and large transfers are where a dedicated circuit pays for itself. The useful test is what breaks when the link degrades rather than fails outright.
Data gravity first: compute usually belongs near the data it reads most. After that, latency to dependent systems, licensing terms that change price by platform, regulatory constraints on data location, and the cost of moving it again later. Written criteria matter more than any single decision, because they make the next decision faster.
For identity, monitoring, backup and policy the answer is usually yes and it is worth the effort, because two toolchains means two chances to miss something. For platform-specific capabilities it is often not worth forcing. An abstraction that hides what the platform actually does tends to become its own operational problem.
They are the line item most often missed in hybrid designs, and they are driven by architecture more than by usage discipline. Chatty traffic across the boundary is the expensive pattern. Placement and caching are the levers, and the modelling is worth doing before the design is fixed rather than after the first quarterly bill.
It makes security harder to reason about, which in practice is the same thing. The risk is a control enforced on one side and assumed on the other. Reducing the number of places a policy is defined is the highest-value move available, and it is why identity comes before connectivity in the sequence.
The full domain, and the other capabilities within it.
Tagging, cost allocation, right-sizing and commitment planning for cloud spend you can attribute to a named owner and explain line by line.
Impact analysis, RPO and RTO targets, failover design and tested runbooks, so recovery is something you have rehearsed rather than something you assume.
The fastest way to a useful answer is a short, scoped look at what you already have.