What Is an API Gateway?
If you are looking to grow in you tech career and understand system design indepth, this guide is for you.
An API gateway is a server that acts as an intermediary between clients and a collection of backend services. It accepts API requests from a client, processes them based on defined policies, routes them to the appropriate services, and aggregates the responses to provide a simplified user experience. An API gateway typically handles requests by invoking multiple microservices and combining their results. It can also translate between protocols in legacy deployments, making it versatile in various architectural setups.
API Gateway Capabilities
API gateways implement several key capabilities:
Security Policy:
- Authentication: Verifying the identity of the user or service making the request.
- Authorization: Ensuring the requester has permission to access the requested resource.
- Access Control: Restricting access to certain resources based on policies.
- Encryption: Protecting data in transit between clients and services.
Routing Policy:
- Routing: Directing requests to the appropriate backend services.
- Rate Limiting: Controlling the number of requests a client can make in a given timeframe.
- Request/Response Manipulation: Modifying requests before they reach the service and responses before they return to the client.
- Circuit Breaker: Preventing repeated requests to failing services.
- Blue-Green and Canary Deployments: Managing traffic to different versions of services for testing.
- A/B Testing: Distributing traffic to different service versions to compare performance.
- Load Balancing: Distributing traffic evenly across multiple service instances.
- Health Checks: Monitoring service health and rerouting traffic as necessary.
- Custom Error Handling: Providing customized error responses.
Observability Policy:
- Real-time and Historical Metrics: Monitoring performance and usage metrics.
- Logging: Recording request and response data for analysis.
- Tracing: Tracking the flow of requests through the system.
For enhanced security, API gateways can be augmented with web application firewalls (WAF) and denial-of-service (DoS) protection.
API Gateway Benefits
Deploying an API gateway offers several advantages:
- Reduced Complexity and Faster Releases: Encapsulating internal application architecture and providing APIs tailored for each client type can simplify and accelerate app development and deployment.
- Centralized Control and Policy Enforcement: Offloading non-functional requirements to the API gateway infrastructure simplifies request processing and policy enforcement.
- Simplified Troubleshooting: Granular real-time and historical metrics and dashboards aid in monitoring and troubleshooting.
API Gateway and Microservices Architecture
In a microservices architecture, an API gateway serves as the single entry point for all client requests, simplifying both client implementations and microservices by decoupling the complexity of an app from its clients. It handles:
- Request Routing: Directing requests to the appropriate microservices.
- Composition: Combining responses from multiple microservices.
- Policy Enforcement: Applying security, routing, and observability policies.
By managing these responsibilities, the API gateway allows developers to focus on core business logic, speeding up app releases.
API Gateway for Kubernetes
Kubernetes is the standard for deploying and managing containerized applications. Depending on the architecture and delivery requirements, an API gateway can be deployed:
- In Front of the Kubernetes Cluster: As a load balancer for multi-cluster setups.
- At the Edge of the Cluster: As an Ingress controller.
- Within the Cluster: As a service mesh.
For deployments at the edge or within the cluster, Kubernetes-native tools like NGINX Ingress Controller and NGINX Service Mesh are recommended for their tight integration with the Kubernetes API.
API Gateway vs. Ingress Controller
Ingress gateways and controllers manage communications between users and applications running in Kubernetes, handling user-to-service (north-south) connectivity. They expose applications to external clients but are limited in capabilities. Many vendors expand Ingress controllers with custom resource definitions (CRDs) to provide more functionality, allowing them to serve as API gateways.
API Gateway vs. Gateway API
The Kubernetes Gateway API is an open-source project aimed at improving and standardizing service networking in Kubernetes. It evolved from the Kubernetes Ingress API to address challenges in deploying Ingress resources. Tools built on the Gateway API, like NGINX Kubernetes Gateway, can route requests, implement traffic policies, and enable deployments.
Service Mesh vs. API Gateway
A service mesh is an infrastructure layer for controlling service-to-service (east-west) communications within a Kubernetes cluster. It offers capabilities like load balancing, authentication, authorization, and observability. While an API gateway handles north-south traffic, a service mesh manages east-west traffic, ensuring secure and reliable communication between services.
API Gateway and API Management
While the terms are often used interchangeably, API gateways and API management serve different functions:
- API Gateway: Acts as the data-plane entry point for API calls, performing request processing based on defined policies.
- API Management: Involves deploying, documenting, operating, and monitoring APIs, typically through management-plane software that defines and applies policies to API gateways and developer portals.
An API gateway can be a standalone component or part of an integrated API management solution.
Considerations for Choosing an API Gateway
When selecting an API gateway, consider:
- Architecture: Deployment options and flexibility with cloud providers.
- Performance: Throughput and latency requirements.
- Scalability: Ability to scale vertically and horizontally.
- Security: Support for advanced security features.
- Cost: Total cost of ownership, including building and maintaining custom solutions versus purchasing enterprise-grade gateways.
By carefully evaluating these factors, you can choose an API gateway that meets your application’s specific needs and requirements.
Learn How To Build AI Projects
Now, if you are interested in upskilling in 2024 with AI development, check out this 6 AI advanced projects with Golang where you will learn about building with AI and getting the best knowledge there is currently. Here’s the link.
Last updated 9 months ago.