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High-availability and Scaling
High availability
The Kong Ingress Controller is designed to be reasonably easy to operate and be highly available, meaning, when some expected failures do occur, the Controller should be able to continue to function with minimum possible service disruption.
The Kong Ingress Controller is composed of two parts: 1. Kong, which handles the requests, 2. Controller, which configures Kong dynamically.
Kong itself can be deployed in a Highly available manner by deploying multiple instances (or pods). Kong nodes are state-less, meaning a Kong pod can be terminated and restarted at any point of time.
The controller itself can be stateful or stateless, depending on if a database is being used or not.
If a database is not used, then the Controller and Kong are deployed as colocated containers in the same pod and each controller configures the Kong container that it is running with.
For cases when a database is necessary, the Controllers can be deployed on multiple zones to provide redudancy. In such a case, a leader election process will elect one instance as a leader, which will manipulate Kong’s configuration.
Leader election
The Kong Ingress Controller performs a leader-election when multiple instances of the controller are running to ensure that only a single Controller is actively pushing changes to Kong’s database (when running in DB-mode). If multiple controllers are making changes to the database, it is possible that the controllers step over each other. If an instance of the controller fails, any other container which is a follower, takes up the leadership and then continues syncing Kong’s configuration from Kubernetes.
For this reason, the Controller needs permission to create a ConfigMap. By default, the permission is given at Cluster level but it can be narrowed down to a single namespace (using Role and RoleBinding) for a stricter RBAC policy.
It also needs permission to read and update this ConfigMap.
This permission can be specific to the ConfigMap that is being used
for leader-election purposes.
The name of the ConfigMap is derived from the value of election-id CLI flag
(default: ingress-controller-leader) and
ingress-class (default: kong) as: “
Scaling
Kong is designed to be horizontally scalable, meaning as traffic increases, multiple instances of Kong can be deployed to handle the increase in load.
The configuration is either pumped into Kong directly via the Ingress Controller or loaded via the database. Kong containers can be considered stateless as the configuration is either loaded from the database (and cached heavily in-memory) or loaded in-memory directly via a config file.
One can use a HorizontalPodAutoscaler (HPA) based on metrics
like CPU utilization, bandwidth being used, total request count per second
to dynamically scale Kong Ingress Controller as the traffic profile changes.
