Get a better understanding of Ingress and Gateway API
Container orchestration has become key in managing large-scale applications, and Kubernetes is considered a leader. The ability to efficiently manage internal and external traffic to services forms the core of Kubernetes by means of a powerful mechanism known as Kubernetes Ingress. For many organizations, correctly configuring and managing external traffic makes all the difference in their application performance and user experience. That's where ingress controllers such as EnRoute, NGINX, and Kong come in, providing flexible and robust ways of managing user traffic. In this article, we will delve into Kubernetes Ingress-what it is, what its role in controlling traffic is, and how to maximize its benefits.
Within Kubernetes, the Ingress API object is responsible for exposing services in a Kubernetes cluster to external access. Besides Ingress, Kubernetes offers other ways of exposing services to external traffic, such as NodePort service, Cluster ip and LoadBalancer service.
Nonetheless, Ingress provides an enriched solution for HTTP(S) routing, TLS termination, virtual hosting, and configuring rules pointing to a path or hostname. Ingress acts like a gateway that controls how external clients forward requests to the appropriate Kubernetes service in the cluster. It defines rules about which service this request is going to be forwarded to, over which port, and whether SSL termination is to be performed.
This flexibility is indispensable in managing a set of services over the same domain, or hosting several services in your Kubernetes environment using one public IP address.
Kubernetes Ingress itself is a set of rules but has to be backed by an Ingress controller to work. An Ingress controller is essentially a daemon that runs and enforces the Ingress rules as defined by the Ingress object. The Ingress Controller runs in a Kubernetes environment and forwards the traffic according to the routing specified in the Ingress manifest.
Some of the common features which are provided by every ingress controller include :
Types of Kubernetes Ingress Controllers
There are numerous available Ingress controllers for Kubernetes, each targeted to work in certain environments and for certain purposes. The following are common Ingress controllers that exist and compare their features.
EnRoute Ingress Controller is incredibly feature-rich and therefore advanced for anything more than managing traffic. Compared to other Ingress controllers, EnRoute provides integrated API gateway capabilities, making it an ideal solution for complex ingress traffic management within enterprise and cloud-native environments.
Some key features of EnRoute include:
EnRoute has the distinction of playing the dual role of an Ingress controller and API gateway, claiming advanced traffic management, security capabilities, and high-performance routing. This makes it ideal for enterprises needing to manage large-scale distributed applications spanning across Kubernetes clusters.
The NGINX Controller is another most deployed controllers in Kubernetes because of its performance, flexibility, and feature set. This controller is based on NGINX; hence, it's better at dealing with HTTP(S) traffic because it supports the following:
HAProxy Ingress Controller uses HAProxy for managing traffic and load balancing. HAProxy is particularly effective for use cases that require very low-latency handling of traffic and other rich networking features. This controller is generally used in performance-critical applications where each little reduction of overhead is important.
A few of the features are:
4. GKE Ingress Controller
Native to users running Kubernetes on Google Cloud, the GKE Ingress Controller is a native solution that comes integrated with Google Cloud's load balancers and security services. This controller is designed for Kubernetes clusters on GCP and provides fluent integration with cloud-native features such as global load balancing and DDoS protection.
5. Application Gateway Ingress Controller
The Application Gateway Ingress Controller (AGIC) is a dedicated Azure Kubernetes service. It integrates an L7 load balancer called Azure Application Gateway with Kubernetes, thereby allowing AKS users to externally expose services with the advanced routing, SSL termination, and application level load balancing provided by the Azure Application Gateway. The Application Gateway Ingress Controller (AGIC) continuously monitors Kubernetes Ingress resources and updates the Application Gateway configuration to route traffic according to the Ingress rules.
Traffic management in Kubernetes environments is an essential task for securing the reliability, scalability, and security of your applications. Including two important components, the functioning of a load balancer and ingress gateway together enables routing, balancing, and securing of traffic inside or outside a Kubernetes cluster. Each of these plays a different role but can be combined to get the best output in traffic flow.
The load balancer balances the incoming load across the various backend services to prevent the overloading of any single host. Kubernetes can automatically configure cloud-provider load balancers when you expose services using the Service type LoadBalancer.
Most Ingress controllers interact with cloud load balancers to direct external traffic. For instance, if you choose one of the best cloud providers like GCP, Azure or AWS, your Kubernetes cluster may automatically provide a cloud load balancer that will work with the Ingress controller.
Load balancers serve as entry points for external traffic, distributed across different Kubernetes nodes. Using load balancers will ensure that no single node is overloaded, and the incoming traffic will be effectively distributed across available resources.
Types of Load Balancers:
Gateway API is arguably the next logical step toward managing Ingress traffic in Kubernetes. While it is designed as an evolution of the older Ingress API, its core feature is much more detailed control over the means of handling and balancing your traffic. While the Ingress API provides mainly basic routing, the Gateway API allows for the specification of detailed rules through HTTP paths, hostnames, or headers, thus offering greater flexibility when it comes to directing ingress traffic to services.
Managing this traffic requires the use of components within the Gateway API ingress controller that can act as an intermediary in enforcing routing policies and traffic balancing across the cluster. An API Gateway integrates well with the services provided by Kubernetes, enabling internal applications to speak to each other while ensuring that traffic is optimally distributed without congestion and performance loss.
The Gateway API was designed to be way more extensible compared to the previous solutions for ingress; thus, it adapts well to a wide variety of use cases and scales in complexity with modern cloud-native applications. While there is no direct implementation provided within Kubernetes itself, solutions such as EnRoute, Istio, Linkerd, nginx are getting widespread, which are tools for traffic routing, allowing organizations to manage their ingress traffic in a very efficient manner and balance the load across their services.
Layer 7 Routing:
Ingress gateways operate at Layer 7 of the application layer, hence allowing detailed routing rules based on request content - for example, paths or headers.
Route traffic to different services based on conditions such as path prefixes, hostnames, or methods.
SSL Termination:
Handles SSL/TLS termination by offloading the certificate management; it allows encrypted communication between the client and the gateway while it is still forwarding traffic to services in plain HTTP.
API Gateway Capabilities:
Provides rate limiting, authentication (JWT, OAuth2), and request filtering to control and secure API traffic. Advanced use cases like A/B testing, canary deployments, and traffic splitting are supported.
Ingress Annotations:
Ingresses Resources support annotations that allow the configuration of some features, such as rewrites, redirects, or even custom strategies.
Increased Security:
Integrates with Web Application Firewalls and supports custom security policies to ensure only the allowed traffic reaches your backend services. Observability This provides an in-depth monitoring and logging of traffic at the application layer to provide insight into latency, error rates, and user activity.
When managing traffic in a Kubernetes environment, implementing Ingress controllers in conjunction with load balancers is essential for achieving high availability, scalability, and efficient traffic routing. Here are some best practices to follow when setting up Ingress with load balancing in Kubernetes:
Configuring Ingress on Kubernetes involves the creation of an Ingress controller and the definition of Ingress resources that are responsible for managing the routing of traffic coming into your cluster.
Steps will cover: Deploying the Ingress controller, creating an Ingress resource, and applying these configurations to the kubernetes cluster.
Before creating an Ingress resource, you need an Ingress controller running in your Kubernetes cluster. EnRoute, NGINX, HAProxy, Traefik are some most used controllers from available ingress controllers in the market. Here’s how to install the EnRoute Ingress Controller as an example:
This will deploy the EnRoute Ingress controller in the enroute-system namespace.
Next, define an Ingress resource that specifies how to route traffic to the appropriate services within Kubernetes cluster.
Here's an example Ingress manifest for creating Ingress manifests with EnRoute:
In this example:
Once you’ve created the Ingress object manifest, apply it to your Kubernetes cluster:
The more complex modern applications become, the higher the demand for efficient flow control. Kubernetes Ingress, or a set of routing rules, is one of the most powerful mechanisms in traffic routing to services in the cluster. Most importantly, your choice of an Ingress controller has a key role in ensuring traffic is routed both securely and efficiently.
It can very well be said that an ideal Kubernetes environment would be secure, horizontally scalable, and have added capacity to handle any volume of traffic that one's application may need.