API gateway vs API management: what is the difference?

TL;DR

• An API gateway is a runtime reverse-proxy that centralizes routing, auth, rate limiting, caching and telemetry for client-to-service traffic.
• API management is the full product set—gateway plus developer portal, analytics, policy lifecycle and monetization—needed for governance and onboarding.
• Use a built-in API Manager in an iPaaS to unify policies, telemetry and versioned promotion, reducing integration friction and audit effort.

An API gateway is a runtime reverse-proxy that centralizes request routing, protocol translation, authentication, rate limiting, caching and observability for client-to-service traffic; API management is the broader discipline and product set that includes an API gateway plus developer portal, lifecycle, analytics, policy management, monetization and governance.

Use an API gateway when you need a single enforcement point for security, traffic shaping, transformation and telemetry at the edge or between service layers. Use API management when you additionally need developer onboarding, versioning, policy lifecycle, cataloguing and enterprise governance.

Some enterprise iPaaS platforms, including Koodisi, build API management in, so APIs published from integrations get access control, versioning, and promotion without a separate gateway product.

API gateway vs API management: the difference

An API gateway is one component. API management is the whole programme around your APIs, and it usually includes a gateway.

	API gateway	API management
What it is	A runtime proxy in front of your services	A platform for the full API lifecycle
Main job	Route, authenticate, rate-limit, and log each request	Design, publish, secure, version, and retire APIs
Who uses it	Platform and operations engineers	API owners, developers, and partner teams
Works at	Request time	Design time and run time
Typical features	Routing, TLS, token validation, throttling, caching	Gateway plus developer portal, catalog, client access, analytics, versioning
You can run it alone?	Yes, for internal traffic or a few APIs	It includes or depends on a gateway

Do you need both? If you expose a handful of internal APIs to known services, a gateway is often enough. Once outside teams, partners, or AI agents consume your APIs, you need what API management adds: a catalog, per-client access you can grant and revoke, versioning, and analytics on who calls what.

API gateway: architecture and key features

Placement patterns — choose the pattern that matches the traffic flow:

• Edge / ingress gateway: Sits at the boundary for north–south traffic (external clients to services). Use this for external APIs, partner integrations, public SDKs, and when you need a single place to enforce DDoS controls and WAF rules.
• Internal gateway / sidecar: Handles east–west traffic between microservices. Use when service-to-service policies, mTLS, and low-latency token validation matter.
• Aggregation / facade gateway: Presents consolidated endpoints that call multiple backend services. Use for BFF (backend-for-frontend) scenarios and protocol translation (gRPC→REST).

Core runtime features to evaluate:

• Request/response routing, host/path-based and header-based routing.
• Protocol translation: REST/HTTP, gRPC, and WebSocket support.
• Load balancing, connection pooling, health checks, circuit breakers, retries, and timeouts.
• Caching, response compression, streaming support, and delta responses when appropriate.

Security and policy features:

• Authentication and authorization enforcement points; OAuth2/OIDC flows and JWT validation (RFC 6749 and RFC 7519). Use token introspection for opaque tokens.
• mTLS support for mutual authentication on internal links.
• Rate limiting, quotas, IP allowlists, per-client policies, and WAF integration.
• JSON schema input validation and content-type enforcement to reduce injection risk.

Operations and observability:

• Propagate distributed tracing headers and emit OpenTelemetry-compatible traces. OpenTelemetry is the cross-vendor standard for traces, metrics, and logs.
• Metrics for throughput, latency, error rates; structured logging and request/response sampling to control volume.
• Alerting integrations with APMs and centralized logging systems.

Extensibility and deployment:

• Plugin or adapter models and policy-as-code for reproducible policy deployment.
• Sidecar vs centralized gateway trade-offs: sidecars push enforcement into the pod boundary; centralized gateways simplify policy management.
• Kubernetes-native operators, CRDs, and CI/CD pipelines for automated configuration and promotion.

API gateway security best practices and authentication

Enforce TLS and strong transport security. Accept TLS 1.2+ only and prefer TLS 1.3 where supported. Terminate TLS at the gateway only when the gateway runs in a trusted, hardened environment; otherwise adopt end-to-end mTLS for sensitive flows.

Authentication & authorization:

• Use OAuth2/OIDC for user-centric and delegated access. Follow the spec for grant choices and token lifetimes.
• Use JWTs for token-based microservice authentication and validate signatures and expiry on every request (see RFC 7519).
• For opaque tokens, call a centralized introspection endpoint or a policy decision point. Centralize ABAC/RBAC decisions to avoid divergent rules across services.

Request validation and sanitization:

• Apply JSON schema validation at the gateway to reject malformed or unexpected payloads before they reach backend services.
• Enforce content-type and length checks; normalize input encoding to prevent injection.

Rate limiting, quotas, and abuse mitigation:

• Implement global and per-client rate limits with burst controls and graceful 429 responses.
• Use CDN and caching to reduce backend load for cacheable responses.
• Integrate DDoS mitigation and bot-detection services for public APIs.

Secrets and keys management:

• Do not embed secrets in gateway configuration. Use a secure vault or secret store with rotation (Koodisi stores connection credentials in Azure Key Vault and stores/rotates credentials through the Credential Manager; see security docs).

Agentic AI and LLM traffic:

• Treat agentic (LLM/agent) traffic as high-risk. Apply strict authentication, content filtering, policy envelopes, and data exfiltration controls. Log and trace agent actions separately for audit and incident response.

This collection of controls is the core of “API gateway security best practices and authentication” for most enterprises.

When to run multiple API gateways

Reasons to use multiple gateways:

• Regional latency: deploy regional edge gateways to keep round-trip time low for local users.
• Regulatory isolation and data residency: separate gateways per region or country to satisfy compliance.
• Multitenancy: per-business-unit gateways isolate blast radius and customize policies.
• Traffic separation: use distinct gateways for north–south (client) traffic and east–west (service) traffic.

High-traffic patterns:

• Place an edge gateway in front of your CDN and use the CDN for static or highly cacheable responses.
• Use internal sidecars or an internal gateway with mTLS for microservice calls.
• Apply tiered rate limiting: global throttles at the edge, fine-grained per-key quotas at the backend gateway.

Scaling and performance:

• Design the gateway as stateless so you can scale horizontally; keep state external (Redis, databases) if required for quotas.
• Avoid sticky sessions unless a backend requires it; prefer connection pooling and keep-alives to reduce latency.
• Offload TLS termination to dedicated accelerators if necessary for extremely high TLS handshake rates.
• Benchmark under realistic loads and measure tail latency; use load tools that exercise real request mixes and payload sizes.

Choosing the best gateway for high-traffic REST APIs depends on the data path:

• Look for a low-latency path and efficient I/O model (event-loop or optimized thread pool).
• Prefer native HTTP/2 and gRPC support when you need multiplexing and connection efficiency.
• Confirm Kubernetes operators for autoscaling and proven production references for your scale tier.

Operational notes:

• Use blue/green or canary rollouts for gateway config and policies. Keep backward-compatible policy changes and coordinate API versioning across gateways to avoid unexpected breaks.

How to choose an API gateway

Most API gateways fall into four groups. Start by picking the group that matches where your traffic runs and who will operate it.

Type	Examples	Best for
Cloud-managed	AWS API Gateway, Azure API Management, Google Apigee	Teams standardised on one cloud that want a managed service
Open-source, self-hosted	Kong, Tyk, NGINX, Envoy	Teams that need control, run Kubernetes, and can operate it
Service mesh ingress	Istio ingress gateway	Service-to-service (east–west) traffic with mTLS
Built into an iPaaS	Koodisi API Manager	APIs published from integration workflows, governed in one place

Then test the shortlist against your own traffic:

• Latency under load, including 99th-percentile tail latency.
• Overhead of the plugins or policies you actually need.
• How many manual steps it takes to rotate a key or change a policy.
• Whether policy changes can ship through your CI/CD pipeline.
• Protocol support you need today and next year: HTTP/2, gRPC, WebSockets.

API gateways and iPaaS

Benefits of a built-in API Manager in an iPaaS:

• Single pane for API lifecycle and unified policy model reduces configuration drift.
• Shared telemetry: Koodisi emits logs, metrics, and traces as OpenTelemetry so traces and metrics are available for workflows and external tooling (see observability).
• Faster time-to-market because publishing an integration and exposing it as a governed API share the same promotion path.

Practical integration points:

• Push policies from the API Manager to the gateway runtime as templates or CI-deployable artifacts.
• Sync developer portal artifacts (SDKs, docs) and import/export OpenAPI specs from the central registry.
• Automate onboarding: register client profiles, issue tokens, and enforce per-client quotas via policy-as-code during CI pipeline runs.

Operational efficiencies:

• Consolidated billing and governance, consistent SLA enforcement across workflows and APIs, and simplified developer onboarding.
• Use the platform’s schema registry to enforce payload contracts across multiple integrations and prevent drift (Koodisi includes a schema registry for registering definitions; see govern).

Recommended patterns for Koodisi users:

• Use the built-in API Manager for policy templates and to enforce gatekeeping on production traffic.
• Version APIs and automate contract testing as part of promotion pipelines; keep mock endpoints available for parallel consumer development.
• Route gateway logs into the Koodisi observability dashboards and your external logging stack for consolidated correlation between API calls and workflow executions.

If you want a demo of how this maps to your environment, request a walkthrough at Request a demo.

Frequently asked questions

What is the difference between an API gateway and API management and do I need both?

An API gateway is the runtime reverse-proxy that enforces routing, security, caching and telemetry at request time. API management is the broader product set—gateway plus developer portal, analytics, lifecycle and governance. Use a gateway alone for runtime controls; adopt full API management when you need onboarding, monetization, versioning and enterprise governance.

How do I choose the best API gateway for high-traffic REST APIs?

Choose a gateway with a proven low-latency I/O model, native HTTP/2 or gRPC support, Kubernetes-native autoscaling, and production references at your scale. Benchmark 99th percentile latency and plugin overhead under realistic payloads and connection patterns before committing.

What are the essential API gateway security best practices and authentication methods?

Enforce TLS 1.2+/TLS 1.3, validate JWTs or use OAuth2/OIDC for delegated access, use mTLS for internal service-to-service calls, apply JSON schema validation at the gateway, and protect secrets using a vault with rotation. Add rate limits, quotas, and DDoS protection for public APIs.

When should I deploy multiple API gateways versus scaling a single gateway?

Deploy multiple gateways for regional latency, data-residency/regulatory needs, per-tenant isolation, or to separate north–south from east–west traffic. Scale a single gateway horizontally if you only need to increase capacity within the same trust and regulatory boundaries.

Are there open-source API gateway options suitable for enterprise use and how do they compare to commercial offerings?

Open-source gateways such as Envoy, Kong OSS, and Traefik are production-ready and extensible; commercial or cloud-managed offerings add support, integrated management features, developer portals and SLAs. Evaluate operational complexity, plugin stability, security patch cadence and enterprise support when deciding.

How does a built-in API Manager in an iPaaS change my architecture and operational model?

A built-in API Manager centralizes schema registry, client profiles and tokens in the same platform you use to build integrations. This reduces handoffs, keeps telemetry consistent (OpenTelemetry), and simplifies promotion, governance and incident correlation. Read the Koodisi govern and security pages for specific product behaviors and retention details in the free and paid tiers.

Related reading: learn how to expose workflows as governed endpoints in our guide on workflow orchestration and explore integration patterns in our use cases.