In this article
Quick Summary
- 1REST is still the default for public APIs; GraphQL wins for variable client needs
- 2gRPC dominates internal service-to-service where latency and contracts matter
- 3API gateway, auth, observability, and docs are 40–55% of total cost
- 4Versioning strategy on day one prevents a year-two breaking-change nightmare
APIs are where most of a 2026 product's value actually lives. Get the contract right and every client — web, mobile, partners, internal — moves faster. Get it wrong and you spend year two rewriting both ends. Here is the decision framework we use.
REST, GraphQL, or gRPC — pick by client, not by trend
- REST — default for public APIs. Cacheable, debuggable, every tool understands it.
- GraphQL — best when clients need wildly different slices of the same data (mobile vs admin vs partner).
- gRPC — best for internal service-to-service: strict contracts, low latency, streaming.
Most production estates end up with all three: REST at the edge, GraphQL for one or two client-heavy surfaces, gRPC inside.
The line items that quietly cost more than the endpoints
- API gateway (Kong, Apigee, AWS API GW) — auth, rate limits, quotas, analytics.
- AuthN/Z — OAuth 2.1, mTLS for partners, scopes, key rotation.
- Observability — structured logs, traces, per-endpoint SLOs.
- Developer experience — OpenAPI / GraphQL schema, SDKs, sandbox, changelog.
- Versioning + deprecation policy in writing.
Indicative API build cost (India, 2026)
| Website Type | Price Range | Best For |
|---|---|---|
| Internal REST API (10–20 endpoints) | INR 4–10 L | Single-team product, basic auth, OpenAPI docs |
| Public REST or GraphQL | INR 12–35 L | External developers, gateway, rate limits, SDKs |
| gRPC / event-driven mesh | INR 30 L–1.2 Cr | Microservices at scale, low-latency, multi-team |
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Versioning — the decision you cannot undo cheaply
Pick one path on day one: URI versioning (/v1/...), header versioning, or evolution-only (additive, never breaking). For public APIs, URI versioning is the safest bet. For internal gRPC, evolution-only with proto field reservations works well. Mixing strategies across a single API surface is the most common own-goal.
Security baseline we ship by default
- Per-route auth scopes — least privilege, not "logged in" as a single bit.
- Rate limits and burst protection at the gateway, not in app code.
- Schema validation on every request; reject unknowns.
- Audit log on writes — who, what, when, before / after.
- Key rotation, secret scanning in CI, short-lived tokens.
How we deliver
Every API engagement starts with a contract-first design week — OpenAPI / proto / GraphQL schema reviewed by the actual client teams before a line of handler code ships. It saves 20–35% of build cost on average. See custom software development for the full engineering services or contact us for a contract review of your current spec.
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Frequently Asked Questions
Is GraphQL still worth adopting in 2026?
Yes, in narrow cases: mobile apps with bandwidth pressure, admin tools that read many entities per screen, and partner APIs where clients want flexible projections. For a typical CRUD web app with one client, REST is simpler, faster to ship, and cheaper to run.
Should we build our own API gateway?
Almost never. Kong, AWS API Gateway, Apigee, and Tyk solve auth, rate limiting, quotas, and analytics for a fraction of what an in-house gateway costs to build and maintain. Reserve custom gateway code for very specific edge logic, not the gateway itself.
How do we handle breaking changes after launch?
Publish a deprecation policy on day one — typically 6–12 months notice with telemetry on remaining callers. Run old and new versions in parallel, contact heavy consumers directly, and only remove the old endpoint when traffic is below an agreed threshold.
