Multi-Cloud Deployment Stack Evaluation (Onboarding)

Multi-Cloud Deployment Stack Evaluation (Onboarding)

1. 01

   Map client deployment requirements against candidate platforms

   List the client's expected release frequency, team size, and compliance constraints. Compare how each platform, such as Cloudways or Railway, handles these needs.

2. 02

   Verify API and MCP accessibility for every shortlisted tool

   Confirm that the platform exposes a documented API or MCP server. Tools without programmatic access will block agent-based workflows and future automation.

3. 03

   Assess rollback and zero-downtime deployment capabilities

   Check whether the platform supports one-click rollbacks and zero-downtime deploys, as these directly affect client-facing availability during releases.

4. 04

   Evaluate multi-cloud and provider portability

   Determine if the platform can deploy across multiple cloud providers or if it locks you into a single vendor. This matters for clients with specific data residency or compliance needs.

5. 05

   Run a proof-of-concept deployment with a representative client workload

   Deploy a sample application or site using the platform, measuring time-to-deploy, failure rate, and any manual steps required. Use this to compare against your current stack.

6. 06

   Review pricing model for agency-scale usage

   Calculate monthly costs based on the number of client projects and expected deployment volume. Watch for per-seat fees or overage charges that could erode margins.

7. 07

   Document the evaluation and get team sign-off

   Summarize findings in a comparison matrix, highlighting trade-offs between speed, cost, and flexibility. Have the delivery team approve before committing to a standard.