Driver 01
Over-fetching and round trips
Mobile screens that need many sequential REST calls to assemble one view.
Migration playbook: REST APIs → GraphQL / gRPC
Reduce over-fetching and serialization overhead by putting GraphQL in front of UI clients and using gRPC between internal services.
Migration drivers
Driver 01
Mobile screens that need many sequential REST calls to assemble one view.
Driver 02
API documentation drifting out of sync with the responses the backend actually returns.
Driver 03
CPU spent serializing and parsing large JSON payloads between internal services.
Execution sequence
Each phase ends with a check you can verify — data parity, error rates, latency — and the rollback path is agreed before any traffic moves.
Defining GraphQL schemas and Protocol Buffer contracts as the single source of truth.
Deploying a GraphQL gateway (for example Apollo Router) over the existing REST services.
Moving high-throughput service-to-service calls to gRPC.
Generating typed clients and retiring REST endpoints once their traffic has moved.
Risk prevention
Risk 01
No complexity or depth limits, which leaves the database open to expensive queries.
Risk 02
Resolvers without DataLoader batching, firing one SQL query per item.
Risk 03
Calling gRPC from browsers without gRPC-Web or a translating proxy such as Envoy.
Before and after
We take a baseline before any change and report the same numbers after cutover, from your own tools. They are the evidence of whether the migration worked — not figures promised in advance.
Questions
Use GraphQL for web and mobile clients that need flexible, declarative data fetching. Use gRPC for high-throughput, low-latency communication between internal services.
GraphQL avoids breaking version URLs (v1, v2) by deprecating fields with @deprecated and evolving the schema additively.
Tell us about your data volume, traffic and timeline. An engineer will reply within one business day to set up a call about the migration plan and its rollback path.