The following system requirements are required for the minimum settings for running Wallaroo in a Kubernetes cloud cluster.
The following system requirements are required for the minimum settings for running Wallaroo in a Kubernetes cloud cluster.
Wallaroo recommends at least 16 cores total to enable all services. At less than 16 cores, services will have to be disabled to allow basic functionality as detailed in this table.
Note that even when disabling these services, Wallaroo performance may be impacted by the models, pipelines, and data used. The greater the size of the models and steps in a pipeline, the more resources will be required for Wallaroo to operate efficiently. Pipeline resources are set by the pipeline configuration to control how many resources are allocated from the cluster to maintain peak effectiveness for other Wallaroo services. See the following guides for more details.
Cluster Size | 8 core | 16 core | 32 core | Description | |
Inference | ✔ | ✔ | ✔ | The Wallaroo inference engine that performs inference requests from deployed pipelines. | |
Dashboard | ✔ | ✔ | ✔ | The graphics user interface for configuring workspaces, deploying pipelines, tracking metrics, and other uses. | |
Jupyter HUB/Lab | The JupyterHub service for running Python scripts, JupyterNotebooks, and other related tasks within the Wallaroo instance. | ||||
Single Lab | ✔ | ✔ | ✔ | ||
Multiple Labs | ✘ | ✔ | ✔ | ||
Prometheus | ✔ | ✔ | ✔ | Used for collecting and reporting on metrics. Typical metrics are values such as CPU utilization and memory usage. | |
Alerting | ✘ | ✔ | ✔ | ||
Model Validation | ✘ | ✔ | ✔ | ||
Dashboard Graphs | ✔ | ✔ | ✔ | ||
Plateau | ✘ | ✔ | ✔ | A Wallaroo developed service for storing inference logs at high speed. This is not a long term service; organizations are encouraged to store logs in long term solutions if required. | |
Model Insights | ✘ | ✔ | ✔ | ||
Python API | |||||
Model Conversion | ✔ | ✔ | ✔ | Converts models into a native runtime for use with the Wallaroo inference engine. |
To install Wallaroo with minimum services, a configuration file will be used as parts of the kots
based installation. For full details on the Wallaroo installation process, see the Wallaroo Install Guides.
To install Wallaroo with less than 16 cores and 8 cores or greater, the following services must be disabled:
The following configuration settings can be used at the installation procedure to disable these services.
A sample file wallaroo-install-8-cores.yaml
is available from the following link:
apiVersion: kots.io/v1beta1
kind: ConfigValues
metadata:
name: wallaroo
spec:
values:
dashboard_enabled:
value: "1"
enable_model_insights:
value: "0"
model_conversion_enabled:
value: "1"
plateau_enabled:
value: "0"
The configuration file can be applied via the --config-values={CONFIG YAML FILE}
option. For example:
kubectl kots install "wallaroo/ce" \
-n wallaroo \
--config-values=wallaroo-install-8-cores.yaml
kots get config
command. See Replicated get config for more details.