bitnamicharts/contour repository overview

⁠Bitnami Secure Images Helm chart for Contour

Contour is an open source Kubernetes ingress controller that works by deploying the Envoy proxy as a reverse proxy and load balancer.

Overview of Contour⁠

Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

⁠ TL;DR

helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/contour

⁠ Introduction

Bitnami charts for Helm are carefully engineered, actively maintained and are the quickest and easiest way to deploy containers on a Kubernetes cluster that are ready to handle production workloads.

This chart bootstraps a Contour⁠ Ingress Controller Deployment and a Envoy Proxy⁠ Daemonset on a Kubernetes⁠ cluster using the Helm⁠ package manager.

⁠ Before you begin

• Kubernetes 1.23+
• Helm 3.8.0+
• An Operator for ServiceType: LoadBalancer like MetalLB⁠

⁠ Installing the Chart

To install the chart with the release name my-release:

helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/contour

These commands deploy contour on the Kubernetes cluster in the default configuration. The Parameters⁠ section lists the parameters that can be configured during installation.

⁠ Configuration and installation details

This section describes credentials, configuration, and other installation options.

⁠ Resource requests and limits

Bitnami charts allow setting resource requests and limits for all containers inside the chart deployment. These are inside the resources value (check parameter table). Setting requests is essential for production workloads and these should be adapted to your specific use case.

To make this process easier, the chart contains the resourcesPreset values, which automatically sets the resources section according to different presets. Check these presets in the bitnami/common chart⁠. However, in production workloads using resourcesPreset is discouraged as it may not fully adapt to your specific needs. Find more information on container resource management in the official Kubernetes documentation⁠.

⁠ Prometheus metrics

This chart can be integrated with Prometheus by setting metrics.enabled to true. This will expose the Contour and Envoy (if envoy.service.exposeMetrics=true) native Prometheus ports in the containers. Additionally, it will deploy several metrics services. These metrics services will have the necessary annotations to be automatically scraped by Prometheus.

⁠Prometheus requirements

It is necessary to have a working installation of Prometheus or Prometheus Operator for the integration to work. Install the Bitnami Prometheus helm chart⁠ or the Bitnami Kube Prometheus helm chart⁠ to easily have a working Prometheus in your cluster.

⁠Integration with Prometheus Operator

The chart can deploy ServiceMonitor objects for integration with Prometheus Operator installations. To do so, set the value metrics.serviceMonitor.enabled=true. Ensure that the Prometheus Operator CustomResourceDefinitions are installed in the cluster or it will fail with the following error:

no matches for kind "ServiceMonitor" in version "monitoring.coreos.com/v1"

Install the Bitnami Kube Prometheus helm chart⁠ for having the necessary CRDs and the Prometheus Operator.

⁠ Rolling VS Immutable tags⁠

It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.

Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.

To configure Contour⁠ please look into the configuration section Contour Configuration⁠.

⁠ Backup and restore

To back up and restore Helm chart deployments on Kubernetes, you need to back up the persistent volumes from the source deployment and attach them to a new deployment using Velero⁠, a Kubernetes backup/restore tool. Find the instructions for using Velero in this guide⁠.

⁠ Example Quickstart Contour Confiuration

configInline:
  # should contour expect to be running inside a k8s cluster
  # incluster: true
  #
  # path to kubeconfig (if not running inside a k8s cluster)
  # kubeconfig: /path/to/.kube/config
  #
  # Client request timeout to be passed to Envoy
  # as the connection manager request_timeout.
  # Defaults to 0, which Envoy interprets as disabled.
  # Note that this is the timeout for the whole request,
  # not an idle timeout.
  # request-timeout: 0s
  # disable ingressroute permitInsecure field
  disablePermitInsecure: false
  tls:
    #   minimum TLS version that Contour will negotiate
    #   minimum-protocol-version: "1.1"
    # Defines the Kubernetes name/namespace matching a secret to use
    # as the fallback certificate when requests which don't match the
    # SNI defined for a vhost.
    fallback-certificate:
  #   name: fallback-secret-name
  #   namespace: projectcontour
  # The following config shows the defaults for the leader election.
  # leaderelection:
  #   configmap-name: leader-elect
  #   configmap-namespace: projectcontour
  ### Logging options
  # Default setting
  accesslog-format: envoy
  # To enable JSON logging in Envoy
  # accesslog-format: json
  # The default fields that will be logged are specified below.
  # To customise this list, just add or remove entries.
  # The canonical list is available at
  # https://godoc.org/github.com/projectcontour/contour/internal/envoy#JSONFields
  # json-fields:
  #   - "@timestamp"
  #   - "authority"
  #   - "bytes_received"
  #   - "bytes_sent"
  #   - "downstream_local_address"
  #   - "downstream_remote_address"
  #   - "duration"
  #   - "method"
  #   - "path"
  #   - "protocol"
  #   - "request_id"
  #   - "requested_server_name"
  #   - "response_code"
  #   - "response_flags"
  #   - "uber_trace_id"
  #   - "upstream_cluster"
  #   - "upstream_host"
  #   - "upstream_local_address"
  #   - "upstream_service_time"
  #   - "user_agent"
  #   - "x_forwarded_for"
  #
  # default-http-versions:
  # - "HTTP/2"
  # - "HTTP/1.1"
  #
  # The following shows the default proxy timeout settings.
  # timeouts:
  #   request-timeout: infinity
  #   connection-idle-timeout: 60s
  #   stream-idle-timeout: 5m
  #   max-connection-duration: infinity
  #   connection-shutdown-grace-period: 5s

⁠ Deploying Contour with an AWS NLB

By default, Contour is launched with an AWS Classic ELB. To launch contour backed by a NLB, please set these settings⁠:

envoy:
  service:
    annotations:
      service.beta.kubernetes.io/aws-load-balancer-type: nlb
      service.beta.kubernetes.io/aws-load-balancer-ssl-ports: "https"
      service.beta.kubernetes.io/aws-load-balancer-connection-idle-timeout: "3600"
      service.beta.kubernetes.io/aws-load-balancer-ssl-cert: arn:aws:acm: arn:aws:acm:XX-XXXX-X:XXXXXXXXX:certificate/XXXXXXXX-XXXX-XXXX-XXXX-XXXXXXXXXX

  containerPorts:
    http: 80
    https: 80

⁠ Setting Pod's affinity

This chart allows you to set your custom affinity using the XXX.affinity parameter(s). Find more information about Pod's affinity in the kubernetes documentation⁠.

As an alternative, you can use of the preset configurations for pod affinity, pod anti-affinity, and node affinity available at the bitnami/common⁠ chart. To do so, set the XXX.podAffinityPreset, XXX.podAntiAffinityPreset, or XXX.nodeAffinityPreset parameters.

⁠ FIPS parameters

The FIPS parameters only have effect if you are using images from the Bitnami Secure Images catalog⁠.

For more information on this new support, please refer to the FIPS Compliance section⁠.

⁠ Parameters

The following subsections list global, common, and component-specific parameters.

⁠ Global parameters

⁠ Common parameters

⁠ Contour parameters

Note: the README for this chart is longer than the DockerHub length limit of 25000, so it has been trimmed. The full README can be found at https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-app-doc/apps-charts-contour-index.html⁠