This Helm chart can be used to deploy an entire HPCC environment to a K8s cluster.

Add this repository to your helm using:

helm repo add hpcc https://hpcc-systems.github.io/helm-chart

global: # The global section applies to all components within the HPCC system.

dali: esp: roxie: eclccserver: etc # Each section will specify a list of one or more components of the specified type # Within each section, there's a map specifying settings specific to that instance of the component, # including (at least) name, plus any other required settings (which vary according to component type).

There are some helper templates in _util.tpl to assist in generation of the k8s yaml for each component. Many of these are used for standard boilerplate that ends up in every component:

hpcc.utils.addImageAttrs

• adds information about the container image source, version and pull mode hpcc.utils.addConfigVolumeMount hpcc.utils.addConfigVolume
• add information that mount the global and local configuration information into /etc/config using k8s ConfigMap hpcc.utils.generateConfigMap
• generates local and global config files for the above hpcc.utils.configArg
• generates the parameter to pass to the container naming the config file hpcc.utils.daliArg
• generates the parameter to pass to the container naming the dali to connect to

Each component can specify local configuration via config: or configFile: settings - configFile names a file that is copied verbatim into the relevant ConfigMap, while config: allows the config file's contents to be specified inline.

In addition, global config info (same for every component) is generated into a global.json file and made available via ConfigMap mechanism. So far, this only contains

"version": {{ .root.Values.global.image.version | quote }}

but we can add more.

When running under K8s, Roxie has 3 fundamental modes of operation:

1. Scalable array of one-way Roxie servers

   Set localAgent=true, replicas=initial number of pods

2. Per-channel-scalable array of combined servers/agents

   localAgent=false, numChannels=nn, replicas=initial number of pods per channel (default 2)

   There will be numChannels*replicas pods in total

3. Scalable array of servers with per-channel-scalable array of agents

   localAgent=false, numChannels=nn, replicas=pods/channel, serverReplicas=initial number of server pods

   There will be numChannels*replicas agent pods and serverReplicas server pods in total

   This mode is somewhat experimental at present!