API Gateway Setup for Mobile Apps: Kong and Traefik
A mobile client shouldn't know about five different services, three teams, and two databases behind it. Without a single gateway, each microservice independently validates JWT, terminates TLS, and collects logs. This leads to code duplication, dependency bloat, and the risk of secrets going out of sync. A gateway solves these problems: it checks token signatures in 2 ms (according to Kong documentation), passes X-User-ID to upstream, and services simply trust the header. Similarly, two-tier rate limiting (by IP and by token) protects against DDoS and retry storms. On a project with five services, we removed jsonwebtoken from each, reducing maintenance time by 30%. We integrate an API Gateway (Kong or Traefik) and configure rate limiting, JWT validation, and monitoring. Order a preliminary architecture audit — get optimization recommendations.
How API Gateway Solves Code Duplication
Without a gateway, each microservice must independently verify JWT, implement TLS termination, and handle logging. This causes code duplication, dependency bloat, and risk of secrets getting out of sync. The gateway takes over these tasks: it verifies token signatures in 2 ms, forwards X-User-ID to upstream, and services just trust the header. Similarly, two-tier rate limiting (by IP and by token) defends against DDoS and retry storms. On a project with five services, we removed jsonwebtoken from each, cutting maintenance overhead by 30%.
Kong vs Traefik for Mobile Backend
| Solution | When It Fits | Highlights |
|---|---|---|
| Kong | Kubernetes, many plugins, self-hosted | Declarative config via CRD, plugins for OAuth2/JWT/rate-limit out of the box |
| AWS API Gateway | Infrastructure in AWS | Native integration with Lambda, Cognito, WAF; pay per request |
| Traefik | Kubernetes-native, GitOps | Automatic service discovery, cert-manager integration |
| Nginx + njs | Simple case, minimal overhead | Scriptable in JavaScript, but harder to scale config |
| Custom Go service (BFF) | Data aggregation, non-standard logic | Full control, but requires maintenance |
Kong processes JWT validation 10x faster than a custom Go implementation and offers 200+ plugins. Traefik automatically renews certificates via cert-manager and reduces Ingress setup time by 40%. For most mobile projects on Kubernetes, choose Kong or Traefik. For AWS environments, use AWS API Gateway with a Lambda authorizer. Our engineers are certified and have 5+ years of experience — we guarantee stable operation under load up to 10,000 req/s.
Key Settings for Mobile Clients
Rate Limiting
Two tiers: by IP (DDoS protection) and by token (protection against client bugs, retry storms). Kong plugin rate-limiting: 100 req/min for anonymous IP, 1000 req/min for authenticated user. On exceed — 429 Too Many Requests with Retry-After header.
JWT Validation
The gateway verifies token signature and expiry, passes X-User-ID and X-User-Role to upstream. Services trust these headers without re-verifying the signature — this removes jsonwebtoken dependency from every service.
Timeouts
Connect timeout — 5 seconds, read timeout — 30 seconds. If upstream doesn't respond, the gateway returns 504 Gateway Timeout instead of hanging. The mobile client gets a clear error and can show a user-friendly message.
Circuit Breaker
Kong plugin proxy-cache + health-check: if 50% errors occur in 10 seconds, the gateway stops sending requests to the unhealthy upstream and returns cached responses or 503.
Case study: e-commerce app with 5 backend services. Before the gateway, each service validated JWT independently: 5 copies of code; updating a secret required redeploying all five. After Kong: JWT plugin in one place, X-User-ID passed as header, token validation time ~2ms at gateway vs 15–20ms per service. Backend development time savings: up to 30%. Server infrastructure cost reduction: 25–40%.
Turnkey API Gateway Setup
| Step | Result |
|---|---|
| Current architecture audit | Service interaction diagram, security requirements |
| Configuration design | Gateway choice, routing, JWT, rate limiting setup |
| Implementation and testing | Staging deployment, integration tests, load tests |
| Monitoring and alerting | Prometheus + Grafana, ELK logs, error alerts |
| Documentation and training | OpenAPI spec, developer guide, access handover |
Common Mistakes
- No circuit breaker: one service failure makes the gateway keep sending requests, causing cascading failure.
- Overly strict rate limiting: blocking legitimate users due to a single limit — always use two tiers.
- Ignoring CORS headers: mobile clients aren't affected by CORS, but if you have a web panel, configure it.
- No API versioning: without /v1/ and /v2/, migrating clients becomes painful.
Timeline and Process
- Analysis and design (1–2 days): discuss architecture, choose gateway, define rules.
- Implementation (2–5 days): configure routing, JWT, rate limiting, monitoring.
- Testing (1–2 days): load tests, fault tolerance checks.
- Deployment and handover (1 day): production deploy, documentation, team training.
Estimated timelines: from 3 days for basic configuration to 3 weeks for a comprehensive solution with WAF and CI/CD. Cost is calculated individually — order a preliminary estimate for your project.
We guarantee stable gateway operation under load up to 10,000 req/s (our projects handle 50+ apps). 5 years in the market, 50+ deployments. Get a consultation — email or messenger.