Training-operator Helm Chart

Training-operator
Analyzed version: 1.1.5

By Helm

Makes it easy to run distributed or non-distributed TensorFlow/PyTorch/MXNet/XGBoost jobs on Kubernetes

Prometheus, a CNCF project, is a systems and service monitoring system. It collects metrics from configured targets at given intervals, evaluates rule expressions, displays the results, and can trigger alerts if some condition is observed to be true.

This chart bootstraps a Prometheus deployment on a Kubernetes cluster using the Helm package manager.

Latest version: 15.5.3
View GitHub

How to Install the Training-operator Helm Chart

Add Chart Repository to Helm

helm repo add cowboysysop https://cowboysysop.github.io/charts/

Install Chart

helm install my-training-operator cowboysysop/training-operator --version 1.1.5

Does the Training-operator chart contain security gaps?

The chart meets the best practices recommended by the industry.

The chart contains 8 misconfigurations.

The chart meets the best practices recommended by the industry. Find the full list of best practices here.

❌ Ensure each container has a configured CPU limit

2 occurrences:

  • metadata.name: release-name-training-operator (kind: Deployment)
  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `limits.cpu` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Prevent ConfigMap security vulnerability (CVE-2021-25742)

1 occurrences:

  • metadata.name: release-name-training-operator-tests (kind: ConfigMap)

💡 Missing property object `allow-snippet-annotations` - set it to "false" to override default behaviour

Learn how to fix the issue here

❌ Ensure each container has a configured liveness probe

1 occurrences:

  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `livenessProbe` - add a properly configured livenessProbe to catch possible deadlocks

Learn how to fix the issue here

❌ Ensure each container has a configured readiness probe

1 occurrences:

  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `readinessProbe` - add a properly configured readinessProbe to notify kubelet your Pods are ready for traffic

Learn how to fix the issue here

❌ Prevent deploying naked pods

1 occurrences:

  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Incorrect value for key `kind` - raw pod won't be rescheduled in the event of a node failure

Learn how to fix the issue here

❌ Ensure each container has a configured memory request

2 occurrences:

  • metadata.name: release-name-training-operator (kind: Deployment)
  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `requests.memory` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Ensure each container has a configured CPU request

2 occurrences:

  • metadata.name: release-name-training-operator (kind: Deployment)
  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `requests.cpu` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

❌ Ensure each container has a configured memory limit

2 occurrences:

  • metadata.name: release-name-training-operator (kind: Deployment)
  • metadata.name: release-name-training-operator-tests (kind: Pod)

💡 Missing property object `limits.memory` - value should be within the accepted boundaries recommended by the organization

Learn how to fix the issue here

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