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deprecated-helm-charts/stable/spring-cloud-data-flow
Alexey ZhokhovandGitHub 7bab8b5344 [stable/spring-cloud-data-flow] Move chart to distributed bitnami repository (#23295)
* [stable/spring-cloud-data-flow] Move chart to distributed bitnami repository

Signed-off-by: Alexey Zhokhov <alexey@zhokhov.com>

* [stable/spring-cloud-data-flow] Typo: redis -> spring-cloud-data-flow

Signed-off-by: Alexey Zhokhov <alexey@zhokhov.com>

* Bump spring-cloud-data-flow chart version to 2.8.1.

Signed-off-by: Alexey Zhokhov <alexey@zhokhov.com>

* Typo.

Signed-off-by: Alexey Zhokhov <alexey@zhokhov.com>
2020-08-31 06:26:22 -07:00
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Spring Cloud Data Flow Chart

Spring Cloud Data Flow is a toolkit for microservices-based Streaming and Batch data processing pipelines in Cloud Foundry and Kubernetes

Data processing pipelines consist of Spring Boot apps, built using the Spring Cloud Stream or Spring Cloud Task microservice frameworks. This makes Spring Cloud Data Flow suitable for a range of data processing use cases, from import/export to event streaming and predictive analytics.

This Helm chart is deprecated

Given the stable deprecation timeline, the Bitnami maintained Spring Cloud Data Flow Helm chart is now located at bitnami/charts.

The Bitnami repository is already included in the Hubs and we will continue providing the same cadence of updates, support, etc that we've been keeping here these years. Installation instructions are very similar, just adding the bitnami repo and using it during the installation (bitnami/<chart> instead of stable/<chart>)

$ helm repo add bitnami https://charts.bitnami.com/bitnami
$ helm install my-release bitnami/<chart>           # Helm 3
$ helm install --name my-release bitnami/<chart>    # Helm 2

To update an exisiting stable deployment with a chart hosted in the bitnami repository you can execute

$ helm repo add bitnami https://charts.bitnami.com/bitnami
$ helm upgrade my-release bitnami/<chart>

Issues and PRs related to the chart itself will be redirected to bitnami/charts GitHub repository. In the same way, we'll be happy to answer questions related to this migration process in this issue created as a common place for discussion.

Chart Details

This chart will provision a fully functional and fully featured Spring Cloud Data Flow installation that can deploy and manage data processing pipelines in the cluster that it is deployed to.

Either the default MySQL deployment or an external database can be used as the data store for Spring Cloud Data Flow state and either RabbitMQ or Kafka can be used as the messaging layer for streaming apps to communicate with one another.

For more information on Spring Cloud Data Flow and its capabilities, see it's documentation.

Prerequisites

Assumes that serviceAccount credentials are available so the deployed Data Flow server can access the API server (Works on GKE and Minikube by default). See Configure Service Accounts for Pods

Installing the Chart

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

$ helm install --name my-release stable/spring-cloud-data-flow

If you are using a cluster that does not have a load balancer (like Minikube) then you can install using a NodePort:

$ helm install --name my-release --set server.service.type=NodePort stable/spring-cloud-data-flow

To restrict the load balancer to an IP address range:

$ helm install --name my-release  --set server.service.loadBalancerSourceRanges='[10.0.0.0/8]' stable/spring-cloud-data-flow

Data Store

By default, MySQL is deployed with this chart. However, if you wish to use an external database, please use the following set flags to the helm command to disable MySQL deployment, for example:

--set mysql.enabled=false

In addition, you are required to set all fields listed in External Database Configuration.

Messaging Layer

There are three messaging layers available in this chart:

  • RabbitMQ (default)
  • RabbitMQ HA
  • Kafka

To change the messaging layer to a highly available (HA) version of RabbitMQ, use the following set flags to the helm command, for example:

--set rabbitmq-ha.enabled=true,rabbitmq.enabled=false

Alternatively, to change the messaging layer to Kafka, use the following set flags to the helm command, for example:

--set kafka.enabled=true,rabbitmq.enabled=false

Only one messaging layer can be used at a given time. If RabbitMQ and Kafka are enabled, both charts will be installed with RabbitMQ being used in the deployment.

Note that this chart pulls in many different Docker images so can take a while to fully install.

Feature Toggles

If you only need to deploy tasks and schedules, streams can be disabled:

--set features.streaming.enabled=false --set rabbitmq.enabled=false

If you only need to deploy streams, tasks and schedules can be disabled:

--set features.batch.enabled=false

NOTE: Both features.streaming.enabled and features.batch.enabled should not be set to false at the same time.

Streaming and batch applications can be monitored through Prometheus and Grafana. To deploy these components and enable monitoring, set the following:

--set features.monitoring.enabled=true

When using Minikube, the Grafana URL can be obtained for example, via:

minikube service my-release-grafana --url

On a platform that provides a LoadBalancer such as GKE, the following can be checked against until the EXTERNAL-IP field is populated with the assigned load balancer IP address:

kubectl get svc my-release-grafana

See the Grafana table below for default credentials and override parameters.

Using an Ingress

If you would like to use an Ingress instead of having the services use the LoadBalancer type there are a few things to consider.

First you need to have an Ingress Controller installed in your cluster. If you don't already have one instaled, you can use the following helm command to install an NGINX Ingress Controller:

kubectl create namespace nginx-ingress
helm install --name nginx-ingress --namespace nginx-ingress stable/nginx-ingress

You can look up the IP address used by the NGINX Ingress Controller with:

ingress=$(kubectl get svc nginx-ingress-controller -n nginx-ingress -ojsonpath='{.status.loadBalancer.ingress[0].ip}')

This is useful if you would like to use xip.io instead of your own DNS resolution. The folowing options assume that you will use xip.io but you can replace the host values below with your own DNS hosts if you prefer.

To enable the creation of an Ingress resource and configure the services to use ClusterIP type use the following set options in your helm install command:

  --set server.service.type=ClusterIP \
  --set ingress.enabled=true \
  --set ingress.protocol=http \
  --set ingress.server.host=scdf.${ingress}.xip.io \

If you want to use an Ingress with the monitoring feature enabled, then use thes options instead:

  --set features.monitoring.enabled=true \
  --set server.service.type=ClusterIP \
  --set grafana.service.type=ClusterIP \
  --set prometheus.proxy.service.type=ClusterIP \
  --set ingress.enabled=true \
  --set ingress.protocol=http \
  --set ingress.server.host=scdf.${ingress}.xip.io \
  --set ingress.grafana.host=grafana.${ingress}.xip.io \

Configuration

The following tables list the configurable parameters and their default values.

RBAC Configuration

Parameter Description Default
rbac.create Create RBAC configurations true

ServiceAccount Configuration

Parameter Description Default
serviceAccount.create Create ServiceAccount true
serviceAccount.name ServiceAccount name (generated if not specified)

Data Flow Server Configuration

Parameter Description Default
server.version The version/tag of the Data Flow server 2.6.0
server.imagePullPolicy The imagePullPolicy of the Data Flow server IfNotPresent
server.service.type The service type for the Data Flow server LoadBalancer
server.service.annotations Extra annotations for service resource {}
server.service.externalPort The external port for the Data Flow server 80
server.service.labels Extra labels for the service resource {}
server.service.loadBalancerSourceRanges A list of IP address ranges to allow through the load balancer no restriction
server.platformName The name of the configured platform account default
server.configMap Custom ConfigMap name for Data Flow server configuration
server.trustCerts Trust self signed certs false
server.extraEnv Extra environment variables to add to the server container {}
server.containerConfiguration.container.registry-configurations..registry-host The registry host to use for the profile represented by
server.containerConfiguration.container.registry-configurations..authorization-type The registry authorization type to use for the profile represented by

Skipper Server Configuration

Parameter Description Default
skipper.version The version/tag of the Skipper server 2.5.0
skipper.imagePullPolicy The imagePullPolicy of the Skipper server IfNotPresent
skipper.platformName The name of the configured platform account default
skipper.service.type The service type for the Skipper server ClusterIP
skipper.service.annotations Extra annotations for service resources {}
skipper.service.labels Extra labels for the service resource {}
skipper.configMap Custom ConfigMap name for Skipper server configuration
skipper.trustCerts Trust self signed certs false
skipper.extraEnv Extra environment variables to add to the skipper container {}

Spring Cloud Deployer for Kubernetes Configuration

Parameter Description Default
deployer.resourceLimits.cpu Deployer resource limit for cpu 500m
deployer.resourceLimits.memory Deployer resource limit for memory 1024Mi
deployer.readinessProbe.initialDelaySeconds Deployer readiness probe initial delay 120
deployer.livenessProbe.initialDelaySeconds Deployer liveness probe initial delay 90

RabbitMQ Configuration

Parameter Description Default
rabbitmq.enabled Enable RabbitMQ as the middleware to use true
rabbitmq.rabbitmq.username RabbitMQ user name user
rabbitmq.rabbitmq.password RabbitMQ password to encode into the secret changeme

RabbitMQ HA Configuration

Parameter Description Default
rabbitmq-ha.enabled Enable RabbitMQ HA as the middleware to use false
rabbitmq-ha.rabbitmqUsername RabbitMQ user name user

Kafka Configuration

Parameter Description Default
kafka.enabled Enable RabbitMQ as the middleware to use false
kafka.replicas The number of Kafka replicas to use 1
kafka.configurationOverrides Kafka deployment configuration overrides replication.factor=1, metrics.enabled=false
kafka.zookeeper.replicaCount The number of ZooKeeper replicates to use 1

MySQL Configuration

Parameter Description Default
mysql.enabled Enable deployment of MySQL true
mysql.mysqlDatabase MySQL database name dataflow

External Database Configuration

Parameter Description Default
database.driver Database driver nil
database.scheme Database scheme nil
database.host Database host nil
database.port Database port nil
database.user Database user scdf
database.password Database password nil
database.dataflow Database name for SCDF server dataflow
database.skipper Database name for SCDF skipper skipper

Feature Toggles

Parameter Description Default
features.streaming.enabled Enables or disables streams true
features.batch.enabled Enables or disables tasks and schedules true
features.monitoring.enabled Enables or disables monitoring false

Ingress

Parameter Description Default
ingress.enabled Enables or disables ingress support true
ingress.protocol Sets the protocol used by ingress server https
ingress.server.host Sets the host used for server data-flow.local
ingress.server.host Sets the host used for grafana grafana.local

Grafana

Parameter Description Default
grafana.service.type Service type to use LoadBalancer
grafana.admin.existingSecret Existing Secret to use for login credentials scdf-grafana-secret
grafana.admin.userKey Secret userKey field admin-user
grafana.admin.passwordKey Secret passwordKey field admin-password
grafana.admin.defaultUsername The default base64 encoded login username used in the secret admin
grafana.admin.defaultPassword The default base64 encoded login password used in the secret password
grafana.extraConfigmapMounts ConfigMap mount for datasources scdf-grafana-ds-cm
grafana.dashboardProviders Dashboard provider for imported dashboards default
grafana.dashboards Dashboards to auto import SCDF Apps, Streams & Tasks

Prometheus

Parameter Description Default
prometheus.server.global.scrape_interval Scrape interval 10s
prometheus.server.global.scrape_timeout Scrape timeout 9s
prometheus.server.global.evaluation_interval Evaluation interval 10s
prometheus.extraScrapeConfigs Additional scrape configs for proxied applications proxied-applications & proxies jobs
prometheus.podSecurityPolicy Enable or disable PodSecurityContext true
prometheus.alertmanager Enable or disable alert manager false
prometheus.kubeStateMetrics Enable or disable kube state metrics false
prometheus.nodeExporter Enable or disable node exporter false
prometheus.pushgateway Enable or disable push gateway false
prometheus.proxy.service.type Service type to use LoadBalancer