What Is an API Gateway? A Guide to Microservices and API Management
When a monolithic application is divided into dozens of independent microservices, the backend architecture is not the only thing that changes. How clients communicate with those services becomes a new architectural problem.
Imagine a mobile application that needs to know separate addresses for user, order, payment, product, and notification services. If every service also has to implement its own authentication controls, rate limits, TLS configuration, and logging logic, both the client and backend architecture can quickly become unnecessarily complex.
An API Gateway creates a controlled entry layer that hides much of this complexity from clients.
An API Gateway is an intermediary layer that accepts API requests from clients, routes them to the appropriate backend services, and provides a central point for applying common API policies such as routing, token validation, rate limiting, quotas, logging, caching, and request transformation.
An API Gateway is therefore more than a traffic router. When designed correctly, it simplifies the contract between clients and microservices, hides internal backend topology, and centralizes cross-cutting concerns that would otherwise need to be implemented repeatedly across multiple services.
In this guide, we explain how an API Gateway works, which problems it solves, how it differs from a Load Balancer, reverse proxy, Backend for Frontend, Kubernetes Gateway API, and service mesh, and which technical decisions enterprises should consider when designing an API Gateway architecture.
API Gateway at a Glance
An API Gateway sits between clients and backend services and controls which service should receive an API request and which traffic, security, and usage policies should be applied before that request reaches the backend.
From the client's perspective, there is no need to know how many microservices exist behind the API or where those services are running. Clients can interact with one controlled API surface while internal services continue to evolve independently.
This becomes increasingly valuable as the number of services grows. Instead of exposing dozens of independent public endpoints, organizations can present a more consistent API interface while keeping internal service topology private.
What Is an API Gateway?
An API Gateway is an application-layer component that receives requests from clients, applies API policies, and routes those requests to the appropriate backend services.
The gateway becomes a controlled boundary between external consumers and internal services. A client can send requests to one API endpoint without knowing whether the response is ultimately produced by one microservice, several services, a legacy application, or a combination of systems.
This abstraction can reduce coupling between frontend applications and backend architecture. Internal services can be moved, split, replaced, or versioned while the public API contract remains more stable.
What Problem Does an API Gateway Solve?
Microservices provide independent development and deployment boundaries, but exposing every service directly to clients can transfer internal complexity to the frontend.
Consider a customer-profile screen that needs user information, recent orders, payment status, and loyalty points. Without a gateway or aggregation layer, the client may need to discover and call several independent services. If those service addresses, protocols, or versions change, the client may also need to change.
An API Gateway can hide that topology. The client only needs to understand the API contract provided by the gateway, while internal routing policies determine which backend services receive each request.
The same principle applies to common controls. Token validation, rate limiting, logging, request-size policies, and other API-level concerns can be standardized rather than implemented differently by every service.
How Does an API Gateway Work?
An API Gateway receives an API request, applies the required traffic and security policies, determines the appropriate backend service, and forwards the request according to its routing configuration.
For example, a client might send:
GET /api/orders/1234
The gateway can first evaluate request metadata. If authentication is required, it can validate the supplied token. It may also apply a rate limit, create a request log, add tracing information, and then route the request to the Order Service.
Requests to:
/users
can be routed to the User Service, while:
/payments
can be routed to the Payment Service and:
/products
can be routed to the Product Service.
Clients therefore interact with a consistent API surface while backend services remain independently deployable and scalable.
What Are the Main Functions of an API Gateway?
API Gateway products differ significantly in their feature sets. In enterprise environments, however, gateways are commonly used to centralize routing, access policies, traffic controls, and observability for externally consumed APIs.
Routing
Routing is the most fundamental API Gateway function. Requests can be sent to different backend services according to URL path, hostname, HTTP method, headers, or other request metadata.
This allows internal services to evolve without requiring clients to understand their physical or network location.
Authentication and Token Validation
A gateway can validate credentials before a request reaches a backend service.
JWT validation, API key checks, and OAuth access-token validation are common examples. OAuth 2.0 itself is primarily an authorization framework. Where end-user authentication is required, identity protocols such as OpenID Connect may also be used.
Central token validation does not mean backend services should eliminate every authorization control. Resource-level authorization often depends on business context that belongs to the backend service itself.
Rate Limiting
Rate limiting controls how many requests a client, user, API key, or IP address can make within a defined period.
This can reduce abuse and protect backend services from sudden demand that exceeds their expected capacity.
Quota Management
Rate limits usually control short-term request frequency, while quotas can define broader consumption limits.
For example, an API plan may allow 100,000 requests per month while still limiting individual clients to 20 requests per second.
Request and Response Transformation
Some gateways can modify headers, rewrite URLs, transform payloads, or adjust response formats.
This can simplify integration between clients and backend systems, but important business logic should not gradually migrate into the gateway. Otherwise, the gateway itself can become a new central monolith.
API Aggregation
If a client screen requires data from several backend services, a gateway or a dedicated aggregation layer can sometimes combine those calls into one client response.
A customer profile, for example, might combine information from User Service, Order Service, and Loyalty Service.
Caching
Responses that are requested frequently and change infrequently can sometimes be cached at the gateway layer.
This can reduce backend load and improve latency, but cache keys and invalidation policies require careful design, especially when responses contain user-specific information.
Logging and Observability
Because a gateway sees a large proportion of external API traffic, it becomes an important source of telemetry.
Request volumes, latency, status codes, authentication failures, rate-limit rejections, and backend timeouts can all provide valuable operational and security signals.
When gateway logs are correlated with application logs and distributed traces, teams can follow a request from the client through multiple backend services more effectively.
TLS Termination
TLS connections can terminate at the gateway so that certificate management is centralized.
Depending on security requirements, the gateway may establish another encrypted connection to backend services using TLS or mutual TLS.
API Gateway vs Load Balancer: What Is the Difference?
The primary responsibility of a Load Balancer is to distribute traffic across healthy backend instances and support availability. The primary responsibility of an API Gateway is to apply API-specific routing, access, traffic, and usage policies.
Modern Layer 7 Load Balancers may support header routing, TLS termination, authentication integration, and rate limiting. For this reason, the distinction should not be reduced to statements such as "Load Balancers cannot authenticate users while API Gateways can."
The more useful distinction is the architectural responsibility of each component.
| Criterion | Load Balancer | API Gateway |
|---|---|---|
| Primary responsibility | Traffic distribution and availability | API routing and policy management |
| Layer 4 support | Common | Usually focused on application and API traffic |
| Layer 7 routing | Available in many products | Core capability |
| API keys and quotas | Product-dependent | Common API-management capability |
| Token validation | Available in some L7 products | Common |
| API version routing | Not usually the primary responsibility | Common use case |
| Developer and API analytics | Limited or product-specific | Common in API-management platforms |
The two components can also work together. An API Gateway may route a request to an Order Service, while a Load Balancer in front of that service distributes the request across several healthy Order Service instances.
For a deeper explanation of traffic distribution and high availability, see What Is a Load Balancer?
Is an API Gateway the Same as a Reverse Proxy?
An API Gateway often behaves like a reverse proxy, but a reverse proxy and an API Gateway are not the same concept.
A reverse proxy can sit between clients and backend systems and provide request forwarding, TLS termination, caching, and routing.
An API Gateway may add API-specific controls such as token validation, quotas, API-key policies, version routing, developer policies, and API analytics.
Many API Gateways therefore include reverse-proxy behavior, but not every reverse proxy is a full API Gateway.
Is an API Gateway the Same as Backend for Frontend - BFF?
No. Backend for Frontend - BFF - is a pattern in which a backend layer is designed specifically for the needs of one frontend type. An API Gateway is a shared routing and policy layer for APIs.
A mobile application, for example, may require smaller responses and fewer network round trips than a desktop web application. A Mobile BFF can combine backend data specifically for that mobile experience.
The same system can have a separate Web BFF with a different contract.
An API Gateway can sit in front of those BFF services and apply common authentication, routing, logging, and rate-limit policies.
BFF and API Gateway are therefore not mutually exclusive patterns. They can be used together.
API Gateway vs API Management: What Is the Difference?
An API Gateway is primarily concerned with runtime API traffic, while API Management is the broader discipline of governing APIs across their lifecycle.
API Management platforms may include a gateway but can also provide developer portals, API catalogs, documentation, subscription management, analytics, governance, and sometimes monetization capabilities.
The two terms are sometimes used interchangeably in product marketing, but their architectural scope is not identical.
How Does an API Gateway Work with Kubernetes?
Kubernetes manages the deployment and orchestration of container workloads, while an API Gateway can manage routing and policy for API traffic entering those workloads.
A Kubernetes Service provides a stable network abstraction in front of changing Pods. LoadBalancer Services and other ingress mechanisms can expose applications outside the cluster. An API Gateway can add authentication, rate limiting, API policies, and more advanced application routing on top of that networking layer.
Kubernetes and API Gateway therefore solve different problems and are not alternatives to each other.
For a deeper explanation of Pods, Services, Ingress, Gateway API, networking, and orchestration, see What Is Kubernetes?
Is Kubernetes Ingress the Same as an API Gateway?
No. Kubernetes Ingress is an API resource for describing HTTP and HTTPS routing to Kubernetes Services. An API Gateway usually provides a broader set of API-specific traffic and management policies.
Some Ingress Controller products include authentication, rate limiting, transformation, and other capabilities that overlap with API Gateway functionality.
This means product-level features can overlap even though the architectural concepts are different.
It is also important to note that the Kubernetes Ingress API is frozen for new feature development. The Kubernetes ecosystem is using Gateway API as the newer extensible model for advanced service-networking use cases.
What Is Kubernetes Gateway API?
Gateway API is the official Kubernetes API family designed to provide a more expressive, extensible, and role-oriented model for Layer 4 and Layer 7 traffic routing.
GatewayClass typically identifies the infrastructure or controller implementation. Gateway represents a traffic entry point, while Route resources such as HTTPRoute describe how traffic should be matched and forwarded to Services.
HTTPRoute can use hostnames, paths, headers, and supported request properties to define routing behavior.
There is an important terminology distinction:
Kubernetes Gateway API is not an API Management product.
Gateway API defines standardized Kubernetes resources for service networking. An actual gateway controller or API Gateway implementation is still required to enforce those resources.
API Gateway vs Service Mesh: What Is the Difference?
An API Gateway commonly focuses on north-south traffic entering an application environment from external clients, while a service mesh focuses primarily on east-west communication between internal services.
An API Gateway can handle external authentication, API routing, rate limiting, and quotas. A service mesh can provide service-to-service identity, mutual TLS, retries, traffic policies, and internal observability.
In large microservice environments, both can be used together. The gateway controls how requests enter the environment while the mesh manages communication between services after the request is inside.
How Should API Gateway Security Be Designed?
An API Gateway provides a strong central point for security policy enforcement, but API security should not depend entirely on the gateway.
Token validation, rate limiting, TLS, IP policy, request-size limits, and selected schema controls can be applied at the gateway. Backend services should still enforce business-specific authorization and protect sensitive resources.
A public API Gateway is also an internet-facing asset and therefore part of the organization's attack surface. Management interfaces, administrator credentials, TLS configuration, software updates, and policy changes need the same security discipline as other exposed infrastructure.
For the wider exposure-management perspective, see What Is an Attack Surface?
Authentication vs Authorization in an API Gateway
Authentication answers the question "Who is this user or client?" Authorization answers "What is this authenticated identity allowed to do?"
A gateway may validate that an access token is valid and that it contains particular claims or scopes. However, deciding whether that user is allowed to access a particular order may require business context that only the Order Service understands.
A secure architecture can therefore use the gateway as an important policy-enforcement layer without treating every request that passes through it as automatically trusted by backend services.
Is an API Key Enough for API Security?
No. An API key alone is not a complete authentication and authorization model.
API keys can be useful for identifying an application, customer, project, or subscription and for measuring usage or applying quotas.
APIs that need strong end-user identity and authorization may require additional identity and token mechanisms.
How Does API Gateway Rate Limiting Work?
Rate limiting controls how many requests a particular identity, API key, IP address, or client can make within a specified time period.
Policies can vary by endpoint. A public search API may allow a relatively high request rate, while an expensive reporting operation may allow only a small number of calls per user per minute.
Rate limiting is therefore not only an abuse-prevention mechanism. It also protects backend capacity and can support fair resource consumption between API consumers.
Does API Gateway Rate Limiting Provide DDoS Protection?
Rate limiting can reduce some forms of application-layer abuse, but it is not a complete DDoS defense.
Large volumetric attacks may consume network capacity before traffic reaches the gateway. Critical public API architectures may therefore require network-level DDoS mitigation, CDN capabilities, WAF controls, upstream filtering, and gateway policies working together.
API Gateway vs WAF: What Is the Difference?
An API Gateway focuses primarily on API routing, identity, usage, and traffic policy. A Web Application Firewall focuses on identifying and blocking malicious application-layer request patterns.
Some platforms combine both functions, but they address different architectural responsibilities.
When Should API Gateway Caching Be Used?
Caching can reduce backend work when the same responses are repeatedly requested and remain valid for a defined period.
Authenticated and personalized APIs require particularly careful cache-key design. An incorrect caching policy can create serious security problems, including returning one user's information to another user.
Gateway caching is therefore both a performance and a data-isolation decision.
When Should API Aggregation Be Used?
A microservice architecture can become chatty when one client screen requires calls to many independent backend services.
API aggregation or a dedicated BFF can combine several backend calls into one client request and reduce network round trips.
Heavy business orchestration should still not accumulate inside the gateway. If the gateway begins to understand the complete business behavior of many services, it can become another centralized application layer and undermine some of the benefits of microservice boundaries.
Can an API Gateway Perform Protocol Translation?
Some API Gateway platforms can translate between external and internal protocols.
A client might communicate through REST and HTTP while an internal service uses gRPC. A gateway can, in supported architectures, expose a simpler external API while hiding the internal protocol.
Protocol translation also increases the gateway's architectural importance. If all clients depend on that translation layer, the gateway becomes a critical production dependency.
How Can an API Gateway Support API Versioning?
An API Gateway can route different API versions to different backend implementations.
For example:
/api/v1/orders
may continue to use an older backend while:
/api/v2/orders
is routed to a newer implementation.
This can support gradual migration and backward compatibility.
API versioning is not only a routing problem, however. Contract lifecycle, deprecation policy, documentation, and client communication also need to be managed.
Can an API Gateway Support Canary Deployments?
Gateways and routing platforms that support weighted or conditional routing can send a controlled percentage of traffic to a new service version.
An organization may, for example, route 5 percent of requests to a new API implementation while the remaining 95 percent continue using the current production version.
Traffic can also be selected according to headers, client groups, or other supported request properties.
This can form part of a canary or progressive-delivery strategy, although application deployment itself may still be managed through the CI/CD or orchestration platform.
Why Are Timeout and Retry Policies Important?
A gateway may control how long it waits for a backend service and whether failed requests should be retried.
Incorrect retry behavior can make incidents worse. If a backend is already overloaded, aggressive retries can generate additional traffic and create a retry storm.
Retries also require application awareness. Repeating a state-changing request such as a payment or order operation can create duplicate transactions if idempotency is not designed correctly.
Timeout, retry, and idempotency policies should therefore reflect the semantics of the API.
Can an API Gateway Use Circuit Breakers?
Some gateways and service-proxy platforms can implement circuit-breaker behavior.
If a backend repeatedly fails, the gateway can temporarily stop sending new requests to that service. This can give the backend time to recover and can reduce the risk of cascading failures.
Business fallback logic should still remain close to the service or application domain rather than moving every resilience decision into the gateway.
Which API Gateway Metrics Should Be Monitored?
Because the gateway is a central API traffic point, it generates important operational and security telemetry.
Request rate, P50, P95, and P99 latency, 4xx and 5xx error rates, authentication failures, rate-limit rejections, backend timeouts, and gateway saturation can all be useful indicators.
Percentile latency is particularly useful because average latency can hide the experience of slower users.
Correlation IDs and distributed tracing can further show which backend services handled a request and where latency or failure occurred.
Can an API Gateway Become a Single Point of Failure?
Yes. If all public API traffic depends on one gateway instance, the gateway itself becomes a critical Single Point of Failure.
Production gateway layers should therefore be designed for redundancy and horizontal scaling. State should be externalized where practical, and traffic to the gateway instances should itself be distributed through resilient networking or load-balancing mechanisms.
Managed API Gateway platforms may handle much of the underlying infrastructure redundancy, but organizations should still consider regional dependencies, service quotas, and platform limits.
Does an API Gateway Add Latency?
Every additional network hop introduces some latency, and an API Gateway is no exception.
The actual impact depends on what the gateway does. Simple routing has a different cost profile from a gateway that performs token introspection, payload transformation, external policy calls, logging, and aggregation for every request.
Gateway caching and aggregation can also reduce end-to-end latency in some scenarios by avoiding repeated client requests or reducing backend work.
When Should You Use an API Gateway?
API Gateways become particularly useful when an application exposes multiple microservices or APIs to external consumers.
They can provide significant value when several client types use the same backend environment, when authentication and rate-limit policies need to be standardized, when third-party developers consume APIs, or when API lifecycle and usage policies need centralized governance.
A gateway can also be valuable when internal service topology should remain hidden from external consumers.
When Might an API Gateway Be Unnecessary?
Not every application needs a dedicated API Gateway.
A small monolithic application with only a few endpoints may already be adequately served by an existing reverse proxy or Load Balancer. The same may be true for simple internal systems with limited traffic and no external API consumers.
The architectural benefit of the gateway should be greater than the additional operational complexity it introduces.
What Types of API Gateway Are Available?
API Gateway platforms can follow different deployment and operating models.
Managed cloud API Gateways reduce the operational burden because the cloud provider manages a significant part of availability, infrastructure maintenance, and platform upgrades. This can simplify operations, although provider-specific configuration and integrations may create additional vendor dependency.
Self-hosted and open-source gateways can run in private cloud, Kubernetes, or on-premises environments. They can provide greater customization but require the organization to manage high availability, upgrades, monitoring, capacity, and security.
Broader API Management platforms may combine the runtime gateway with developer portals, API catalogs, analytics, subscriptions, and governance.
Can a Managed API Gateway Create Vendor Lock-in?
Yes. Managed API Gateway services can provide significant operational benefits, but provider-specific policy languages, identity integrations, monitoring systems, and deployment models can make migration more difficult.
API Gateway selection should therefore consider not only the current feature set but also how configuration can be exported, how portable routing and policy definitions are, and how difficult equivalent policies would be to recreate elsewhere.
Common API Gateway Design Mistakes
One of the most common mistakes is placing too much business logic inside the gateway. What begins as a few small transformations can gradually turn into a central layer that understands the behavior of every service. This can recreate the same centralized dependency that microservices were intended to reduce.
Another mistake is moving every authorization decision into the gateway. The gateway may know that a user has a valid token, but a backend service is often better positioned to determine whether that user may access a particular business resource.
Other common problems include running only one gateway instance, applying rate limits and timeout policies without realistic traffic testing, relying only on gateway logs for observability, and introducing multiple API versions without a deprecation strategy.
What Should You Consider When Choosing an API Gateway?
API Gateway selection should begin with the actual API portfolio and consumer model. REST, GraphQL, gRPC, WebSocket, public APIs, internal APIs, and partner APIs may have very different requirements.
Organizations should then decide how authentication and authorization responsibilities will be divided, which rate limits and quotas are needed, how versions will be managed, how backend discovery works, and how the gateway integrates with Kubernetes or other runtime platforms.
High availability, multi-region architecture, observability integration, configuration portability, policy management, developer-portal requirements, and total operating cost should also be evaluated together.
Which API Gateway KPIs Should Be Monitored?
API Gateway performance should not be evaluated only through uptime.
Request volume and requests per second show demand, while P50, P95, and P99 latency expose different parts of the user experience. Rising 4xx rates can indicate client, authentication, or policy problems, while increasing 5xx responses may point to gateway or backend failures.
Rate-limit rejections, authentication failures, backend timeouts, cache-hit ratio, connection counts, CPU, memory, and gateway saturation can also provide useful capacity and security indicators.
How Does an API Gateway Support Application Modernization?
When a monolithic application is gradually decomposed into microservices, the number of backend endpoints usually increases before the old system disappears completely.
An API Gateway can provide a controlled migration layer between old and new architectures. Some endpoints can continue routing to the monolith while newly modernized domains are directed to independent microservices.
This can support gradual modernization approaches similar to the strangler pattern.
For the broader relationship between microservices, containers, cloud architecture, and modernization, see Cloud Architectures and Application Modernization.
What Is the Relationship Between API Gateway and DevSecOps?
Manually changing gateway policies directly in production can create configuration drift and security risk.
Routing, authentication, rate limits, and other API policies can be stored in version control and deployed through controlled CI/CD processes where the platform supports this operating model.
API policy changes can then be reviewed, tested, traced, and audited in a way similar to application code.
For the broader secure software-delivery model, see What Is DevSecOps?
API Gateway and Microservices Infrastructure with Ixpanse
An API Gateway alone does not make a microservice environment production-ready. Compute, container orchestration, networking, monitoring, security, and high availability still need to work together.
Ixpanse's Private Cloud provides dedicated and scalable infrastructure for organizations that require greater control and customization over modern application environments.
Continuous operation of microservice and API platforms also requires more than compute capacity. Ixpanse's Managed Services supports 24/7 monitoring, virtual-server management, replication management, and other infrastructure operations.
In architectures that combine private cloud, public cloud, and different data-center environments, network connectivity can also have a direct effect on API performance and resilience. Ankara IX provides connectivity options that can support this network layer.
For the orchestration layer behind microservices, see What Is Kubernetes?. For backend traffic distribution, see What Is a Load Balancer?. For the security implications of public APIs and internet-facing infrastructure, see What Is an Attack Surface?.
To evaluate your microservices, Kubernetes, Private Cloud, and API traffic architecture, contact the Ixpanse expert team.
Conclusion
An API Gateway creates a controlled API entry layer between clients and backend services, allowing routing, access policies, rate limiting, observability, and other shared API concerns to be applied more consistently.
Its value is not simply that dozens of microservices can be placed behind one URL. The more important benefit is the ability to decouple clients from backend topology, standardize common API policies, and allow internal services to evolve more independently.
The gateway should not, however, become the place where all security logic, business logic, and resilience behavior accumulate. Resource-level authorization can remain within backend services, business logic should remain close to the relevant domain, and the gateway itself should be designed for redundancy, scalability, security, and observability.
The key API Gateway question is therefore not only:
"Which features does this gateway provide?"
A more useful question is:
"Which responsibilities should this gateway centralize so that our API architecture becomes easier to manage without creating a new performance, security, or operational dependency?"
Frequently Asked Questions About API Gateways
What is an API Gateway?
An API Gateway is an intermediary layer that receives API requests from clients, routes them to appropriate backend services, and applies shared policies such as authentication, rate limiting, logging, and traffic controls.
How does an API Gateway work?
An API Gateway receives a request, applies configured traffic and security policies, determines the appropriate backend service according to routing rules, and forwards the request to that service.
What is the difference between an API Gateway and a Load Balancer?
A Load Balancer primarily distributes traffic across healthy backend instances and supports availability. An API Gateway focuses on API routing, authentication, rate limiting, quotas, and API-specific policies.
Is an API Gateway the same as a reverse proxy?
No. Many API Gateways behave as reverse proxies, but they typically add API-specific policy functions such as authentication, quotas, version routing, and API analytics.
Is an API Gateway the same as Backend for Frontend?
No. Backend for Frontend is a pattern that creates a backend specifically for one frontend experience. An API Gateway provides a shared routing and policy layer and can be used in front of multiple BFF services.
What is the difference between API Gateway and API Management?
An API Gateway primarily manages runtime API traffic. API Management can also cover developer portals, API catalogs, documentation, analytics, subscriptions, governance, and API lifecycle management.
How does an API Gateway work with Kubernetes?
Kubernetes orchestrates backend workloads while an API Gateway can manage API routing and policies for traffic entering those workloads.
Is Kubernetes Gateway API an API Gateway?
No. Kubernetes Gateway API defines standardized Kubernetes resources for service networking. An actual gateway controller or product implements those resources and manages traffic.
Is Kubernetes Ingress the same as an API Gateway?
No. Ingress defines HTTP and HTTPS routing to Kubernetes Services. An API Gateway can provide broader authentication, rate limiting, quota, analytics, and API-management capabilities.
What is the difference between an API Gateway and a service mesh?
An API Gateway usually focuses on north-south traffic from external clients, while a service mesh primarily manages east-west traffic between internal services.
Can an API Gateway authenticate users?
An API Gateway can validate access tokens, JWTs, API keys, and other credentials. Business-specific resource authorization may still need to be enforced by backend services.
Is an API key enough for API security?
No. API keys can identify applications or subscriptions, but stronger identity and authorization mechanisms may be required for sensitive resources and end-user access.
What is API Gateway rate limiting?
Rate limiting controls how many requests a client, user, API key, or IP address can make within a defined period.
Does an API Gateway provide DDoS protection?
Rate limits and request policies can reduce some application-layer abuse, but an API Gateway alone is not a complete DDoS-protection solution.
Can an API Gateway cache responses?
Some API Gateways can cache frequently requested responses to reduce backend load and latency. Cache policy must be designed carefully for personalized or authenticated data.
Can an API Gateway aggregate APIs?
Yes. In suitable architectures, a gateway or BFF can combine calls to several backend services into one client response. Heavy business orchestration should generally remain outside the gateway.
Can an API Gateway manage API versions?
Yes. A gateway can route different API versions to different backend implementations, although deprecation, documentation, and lifecycle policies must also be managed.
Can an API Gateway become a Single Point of Failure?
Yes. If every API request depends on one gateway instance, it can become a critical Single Point of Failure. Production gateway architectures should be redundant and scalable.
Does an API Gateway add latency?
Every additional network layer introduces some latency. The actual impact depends on the authentication, transformation, logging, policy, and aggregation work performed by the gateway.
Does a small application need an API Gateway?
Not always. If a small monolithic application or simple internal API is already adequately served by a reverse proxy or Load Balancer, a dedicated API Gateway may add unnecessary complexity.
How does Ixpanse support API Gateway architectures?
Ixpanse supports the infrastructure layers required by API Gateway and microservice environments through Private Cloud, Managed Services, Ankara IX connectivity, Kubernetes-oriented infrastructure, monitoring, and network operations.
