Tensorflow-resnet Helm Chart

Tensorflow-resnet
Analyzed version: 3.5.7

By Bitnami

TensorFlow ResNet is a client utility for use with TensorFlow Serving and ResNet models.

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
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How to Install the Tensorflow-resnet Helm Chart

Add Chart Repository to Helm

helm repo add bitnami https://charts.bitnami.com/bitnami

Install Chart

helm install my-tensorflow-resnet bitnami/tensorflow-resnet --version 3.5.7

Does the Tensorflow-resnet Chart Follow Industry Best Practices?

The chart meets the best practices recommended by the industry.

The chart failed to meet 5 of the best practices recommended by the industry.

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

❌ Ensure each container has a configured memory request

1 occurrences:

  • metadata.name: release-name-tensorflow-resnet (kind: Deployment)

💡 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

1 occurrences:

  • metadata.name: release-name-tensorflow-resnet (kind: Deployment)

💡 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

1 occurrences:

  • metadata.name: release-name-tensorflow-resnet (kind: Deployment)

💡 Missing property object `limits.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 limit

1 occurrences:

  • metadata.name: release-name-tensorflow-resnet (kind: Deployment)

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

Learn how to fix the issue here

❌ Prevent workload from using the default namespace

1 occurrences:

  • metadata.name: release-name-tensorflow-resnet (kind: Deployment)

💡 Incorrect value for key `namespace` - use an explicit namespace instead of the default one (`default`)

Learn how to fix the issue here

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