Use Case and Product Strategy
Overview
When a company says it wants to move to Google Cloud, the first question is not which service to use.
But rather: Why the company is moving?
That business context drives almost every design choice that follows.
If you identify it early, you make better trade-offs. If you skip it, you can choose the right service for the wrong problem.
The Four Common Drivers
Most Google Cloud scenarios start with one primary business driver, even when several are present.
| Driver | What the Business Wants | Common Architecture Focus |
|---|---|---|
| Revenue growth | Reach more customers, launch products faster, or monetize data | Scale, managed services, and faster delivery |
| Cost reduction | Lower infrastructure, operations, or manual process spend | Rightsizing, automation, and operational cleanup |
| Compliance and risk | Fix audit findings, security gaps, or regulatory exposure | Identity, encryption, logging, and data controls |
| Speed to market | Release faster and respond to market changes | Simplicity, automation, and rapid iteration |
Note: Real projects often have more than one driver, but one of them is usually primary.
The Three Product Positions
Product strategy matters because it changes the scope of the solution.
| Position | What It Means | Typical Architecture Direction |
|---|---|---|
| Greenfield | Building something new with no legacy constraints | Cloud-native design, managed services, and scale |
| Modernize | Improving an existing system without breaking current use | Incremental migration, coexistence, and control |
| Sunset | Replacing or decommissioning a legacy system | Data migration, transition planning, and cleanup |
Why this matters:
- A greenfield product can start with cloud-native choices from day one.
- A modernization effort may need to keep existing databases or applications running while workloads move gradually.
- A sunset effort needs migration and decommission planning more than new feature work.
How To Read A Scenario
Before you compare services, read the business requirements first.
- Identify the primary driver.
- Identify the product position.
- Use those two answers to filter the technical options.
Some sample questions to ask:
- Is the main goal growth, cost reduction, compliance, or speed?
- Is the company building something new, improving something existing, or replacing something old?
- Which risk matters most if the architecture is wrong?
Practical Trade-Offs
The business context changes what the best answer looks like.
| Priorities | What Usually Wins |
|---|---|
| Compliance + Modernization | Security, data residency, and auditability |
| Revenue growth + Greenfield | Speed to market, elasticity, and managed services |
| Cost reduction + Sunset project | Clean migration, decommissioning, and low operational overhead |
Note that these are trade-offs, not fixed rules. The point is to optimize for the primary driver first.
If two answers are technically valid, choose the one that best matches the business driver and the product position.