Advanced usage
Some edge use-cases might not have been included in the previous installation documentation, for clarity purposes. You may find some of them below.
Running behind a container registry proxy
If your installation environment requires you to whitelist images that can be pulled by the Kubernetes cluster, you must whitelist the registry.evertrust.io/stream
and registry.evertrust.io/stream-upgrade
images. It is then possible to override the images being pulled by setting the global.imageRegistry
key in your values.yaml
file to point to your private registry:
global:
imageRegistry: <YOUR-PRIVATE-REGISTRY>
Leases
To ensure clustering issues get resolved as fast as possible, Stream can use Kubernetes leases. We strongly recommend that you use this safety mechanism. However, the feature can be disabled by setting the leases.enabled
key to false
.
Injecting extra configuration
Extra Stream configuration can be injected to the bundled application.conf
file to modify low-level behavior of Stream.
This should be used carefully as it may cause things to break.
To do so, use the extraConfig
value in your values.yaml
file:
This can be done with the following edits to your values.yaml
file:
extraConfig: |
play.server.http.port = 9999
stream {
...
}
Extra configurations are included at the end of the config file, overriding any previously set config value.
Custom startup scripts
Sometimes, you’ll want to run scripts each time the container starts up in order to configure files in the container or set environment variables.
To do so, you’ll need to mount shell scripts into the /docker-entrypoint.d/
directory in the container.
Using the Helm chart, this can be achieved easily using the following values.yaml
overrides:
extraVolumes:
- name: stream-entrypoint-scripts
configMap:
name: stream-entrypoint-scripts
extraVolumeMounts:
- name: stream-entrypoint-scripts
mountPath: /docker-entrypoint.d/
Given you’ve previously create a ConfigMap
called stream-entrypoint-scripts
:
apiVersion: v1
kind: ConfigMap
metadata:
name: stream-entrypoint-scripts
data:
run-on-startup.sh: |
echo "Hello World !"
By design, Stream is configured to run as an unprivileged user inside the container to follow industry best practices.
This means that your scripts won’t be able to perform privileged operations on the container, such as trusting custom CAs.
If you do want to overcome this problem, you can run the container as root , even though it is generally discouraged.
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Networking overview
When installed in HA, Stream sends messages to other running instances in its cluster. To form the cluster and set up networking between nodes, Stream is relying on Pekko, a framework for building clusterized applications. Understanding how clustering works is important when building deployments with highly specific needs or when preparing a disaster recovery plan.
When deployed on multiple nodes inside a Kubernetes cluster, the following steps are followed:
-
Discovery: the discovery process locates all nodes that will be used to form a cluster. It relies on a third-party to give that information, such as a DNS record or the Kubernetes API (which is the default when deploying using the Helm Chart). For documentation, see Pekko Discovery.
-
Bootstrap: once each node in the cluster has the address of every other node, nodes start to contact each other. This is done though Pekko Management, a tool for helping nodes coordinate. For documentation, see Pekko Management.
-
Remoting: the cluster is now formed, nodes can communicate with each other. This uses Pekko Remoting, a higher level protocol for serializing data over multiple transports. Typically, TCP is used. For documentation, see Pekko Remoting.
This clustering process can be summarized by the below diagram:
Traffic between different nodes is described in the below table:
Traffic type | Diagram color | Protocol | Port |
---|---|---|---|
Kubernetes API |
Blue |
HTTP |
443 |
Pekko Management |
Green |
HTTP |
7626 (by default) |
Pekko Remote |
Red |
TCP (by default) |
17355 |