Apache OpenWhisk is an open source, distributed Serverless platform that executes functions (fx) in response to events at any scale. The OpenWhisk platform supports a programming model in which developers write functional logic (called Actions), in any supported programming language, that can be dynamically scheduled and run in response to associated events (via Triggers) from external sources (Feeds) or from HTTP requests.
This repository supports deploying OpenWhisk to Kubernetes and OpenShift. It contains a Helm chart that can be used to deploy the core OpenWhisk platform and optionally some of its Event Providers to both single-node and multi-node Kubernetes and OpenShift clusters.
- Prerequisites: Kubernetes and Helm
- Deploying OpenWhisk
- Administering OpenWhisk
- Development and Testing OpenWhisk on Kubernetes
- Cleanup
- Issues
Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications. Helm is a package manager for Kubernetes that simplifies the management of Kubernetes applications. You do not need to have detailed knowledge of either Kubernetes or Helm to use this project, but you may find it useful to review their basic documentation to become familiar with their key concepts and terminology.
Your first step is to create a Kubernetes cluster that is capable of supporting an OpenWhisk deployment. Although there are some technical requirements that the Kubernetes cluster must satisfy, any of the options described below is acceptable.
The simplest way to get a small Kubernetes cluster suitable for development and testing is to use one of the Docker-in-Docker approaches for running Kubernetes directly on top of Docker on your development machine. Configuring Docker with 4GB of memory and 2 virtual CPUs is sufficient for the default settings of OpenWhisk. Depending on your host operating system, we recommend the following:
- MacOS: Use the built-in Kubernetes support in Docker for Mac version 18.06 or later. Please follow our setup instructions to initially create your cluster.
- Linux: Use kind. Please follow our setup instructions to initially create your cluster.
- Windows: Use the built-in Kubernetes support in Docker for Windows version 18.06 or later. Please follow our setup instructions to initially create your cluster.
You can also provision a Kubernetes cluster from a cloud provider, subject to the cluster meeting the technical requirements. You will need at least 1 worker node with 4GB of memory and 2 virtual CPUs to deploy the default configuration of OpenWhisk. You can deploy to significantly larger clusters by scaling up the replica count of the various components and labeling multiple nodes as invoker nodes. We have detailed documentation on using Kubernetes clusters from the following major cloud providers:
We would welcome contributions of documentation for Azure (AKS) and any other public cloud providers.
You will need at least 1 worker node with 4GB of memory and 2 virtual CPUs to deploy the default configuration of OpenWhisk. You can deploy to significantly larger clusters by scaling up the replica count of the various components and labeling multiple nodes as invoker nodes. For more detailed documentation, see:
If you are comfortable with building your own Kubernetes clusters and deploying services with ingresses to them, you should also be able to deploy OpenWhisk to a do-it-yourself cluster. Make sure your cluster meets the technical requirements. You will need at least 1 worker node with 4GB of memory and 2 virtual CPUs to deploy the default configuration of OpenWhisk. You can deploy to significantly larger clusters by scaling up the replica count of the various components and labeling multiple nodes as invoker nodes.
Additional more detailed instructions:
Helm is a tool to simplify the deployment and management of applications on Kubernetes clusters. The OpenWhisk Helm chart requires Helm 3.
Our automated testing currently uses Helm v3.2.4
Follow the Helm install instructions for your platform to install Helm v3.0.1 or newer.
Now that you have your Kubernetes cluster and have installed the Helm 3 CLI, you are ready to deploy OpenWhisk.
You will use Helm to deploy OpenWhisk to your Kubernetes cluster. There are four deployment steps that are described in more detail below in the rest of this section.
- Initial cluster setup. If you have provisioned a multi-node cluster, you should label the worker nodes to indicate their intended usage by OpenWhisk.
- Customize the deployment. You will
create a
mycluster.yamlthat specifies key facts about your Kubernetes cluster and the OpenWhisk configuration you wish to deploy. Predefinedmycluster.yamlfiles for common flavors of Kubernetes clusters are provided in the deploy directory. - Deploy OpenWhisk with Helm. You will use Helm and
mycluster.yamlto deploy OpenWhisk to your Kubernetes cluster. - Configure the
wskCLI. You need to tell thewskCLI how to connect to your OpenWhisk deployment.
If your cluster has a single worker node, then you should
configure OpenWhisk without node affinity. This is done by adding
the following lines to your mycluster.yaml
affinity:
enabled: false
toleration:
enabled: false
invoker:
options: "-Dwhisk.kubernetes.user-pod-node-affinity.enabled=false"
If you are deploying OpenWhisk to a cluster with multiple worker
nodes, we recommend using node affinity to segregate the compute nodes
used for the OpenWhisk control plane from those used to execute user
functions. Do this by labeling each node with
openwhisk-role=invoker. In the default configuration, which uses the
KubernetesContainerFactory, the node labels are used in conjunction
with Pod affinities to inform the Kubernetes scheduler how to place
work so that user actions will not interfere with the OpenWhisk
control plane. When using the non-default DockerContainerFactory,
OpenWhisk assumes it has exclusive use of these invoker nodes and will
schedule work on them directly, completely bypassing the Kubernetes
scheduler. For each node
<INVOKER_NODE_NAME> you want to be an invoker, execute
kubectl label node <INVOKER_NODE_NAME> openwhisk-role=invokerIf you are targeting OpenShift, use the command
oc label node <INVOKER_NODE_NAME> openwhisk-role=invokerFor more precise control of the placement of the rest of OpenWhisk's
pods on a multi-node cluster, you can optionally label additional
non-invoker worker nodes. Use the label openwhisk-role=core
to indicate nodes which should run the OpenWhisk control plane
(the controller, kafka, zookeeeper, and couchdb pods).
If you have dedicated Ingress nodes, label them with
openwhisk-role=edge. Finally, if you want to run the OpenWhisk
Event Providers on specific nodes, label those nodes with
openwhisk-role=provider.
If the Kubernetes cluster does not allow you to assign a label to a node, or you cannot use the affinity attribute, you use the yaml snippet shown above in the single worker node configuration to disable the use of affinities by OpenWhisk.
You will need a mycluster.yaml file to record key aspects of your
Kubernetes cluster that are needed to configure the deployment of
OpenWhisk to your cluster. For details, see the documentation
appropriate to your Kubernetes cluster:
- Docker for Mac
- Docker for Windows
- kind
- IBM Cloud Kubernetes Service (IKS)
- Google (GKE)
- Amazon (EKS)
- OpenShift
Default/template mycluster.yaml for various types of Kubernetes clusets
can be found in subdirectories of deploy.
Beyond the basic Kubernetes cluster specific configuration information,
the mycluster.yaml file can also be used
to customize your OpenWhisk deployment by enabling optional features
and controlling the replication factor of the various microservices
that make up the OpenWhisk implementation. See the configuration
choices documentation for a
discussion of the primary options.
For simplicity, in this README, we have used owdev as the release name and
openwhisk as the namespace into which the Chart's resources will be deployed.
You can use a different name and/or namespace simply by changing the commands
used below.
NOTE: The commands below assume Helm v3.2.0 or higher. Verify your local Helm version with the command helm version.
The OpenWhisk project maintains a Helm repository at https://openwhisk.apache.org/charts.
You may install officially released versions of OpenWhisk from this repository:
helm repo add openwhisk https://openwhisk.apache.org/charts
helm repo update
helm install owdev openwhisk/openwhisk -n openwhisk --create-namespace -f mycluster.yaml
To deploy directly from sources, either download the
latest source release or
git clone https://github.com/apache/openwhisk-deploy-kube.git and use the Helm chart
from the helm/openwhisk folder of the source tree.
helm install owdev ./helm/openwhisk -n openwhisk --create-namespace -f mycluster.yamlYou can use the command helm status owdev -n openwhisk to get a summary
of the various Kubernetes artifacts that make up your OpenWhisk
deployment. Once the pod name containing the word install-packages is in the Completed state,
your OpenWhisk deployment is ready to be used.
NOTE: You can check the status of the pod by running the following command kubectl get pods -n openwhisk --watch.
Configure the OpenWhisk CLI, wsk, by setting the auth and apihost
properties (if you don't already have the wsk cli, follow the
instructions here
to get it). Replace whisk.ingress.apiHostName and whisk.ingress.apiHostPort
with the actual values from your mycluster.yaml.
wsk property set --apihost <whisk.ingress.apiHostName>:<whisk.ingress.apiHostPort>
wsk property set --auth 23bc46b1-71f6-4ed5-8c54-816aa4f8c502:123zO3xZCLrMN6v2BKK1dXYFpXlPkccOFqm12CdAsMgRU4VrNZ9lyGVCGuMDGIwPThe docker0 network interface does not exist in the Docker for Mac/Windows
host environment. Instead, exposed NodePorts are forwarded from localhost
to the appropriate containers. This means that you will use localhost
instead of whisk.ingress.apiHostName when configuring
the wsk cli and replace whisk.ingress.apiHostPort
with the actual values from your mycluster.yaml.
wsk property set --apihost localhost:<whisk.ingress.apiHostPort>
wsk property set --auth 23bc46b1-71f6-4ed5-8c54-816aa4f8c502:123zO3xZCLrMN6v2BKK1dXYFpXlPkccOFqm12CdAsMgRU4VrNZ9lyGVCGuMDGIwPYour OpenWhisk installation should now be usable. You can test it by following these instructions to define and invoke a sample OpenWhisk action in your favorite programming language.
You can also issue the command helm test owdev -n openwhisk to run the basic
verification test suite included in the OpenWhisk Helm chart.
Note: if you installed self-signed certificates, which is the default
for the OpenWhisk Helm chart, you will need to use wsk -i to
suppress certificate checking. This works around cannot validate certificate errors from the wsk CLI.
If your deployment is not working, check our troubleshooting guide for ideas.
Using defaults, your deployment is configured to provide a bare-minimum working platform for testing and exploration. For your specialized workloads, you can scale-up your openwhisk deployment by defining your deployment configurations in your mycluster.yaml which overrides the defaults in helm/openwhisk/values.yaml. Some important parameters to consider (for other parameters, check helm/openwhisk/values.yaml and configurationChoices):
actionsInvokesPerminute: limits the maximum number of invocations per minute.actionsInvokesConcurrent: limits the maximum concurrent invocations.containerPool: total memory available perinvokerinstance.Invokeruses this memory to create containers for user-actions. The concurrency-limit (actions running in parallel) will depend upon the total memory configured forcontainerPooland memory allocated per action (default:256mb per container).
For more information about increasing concurrency-limit, check scaling-up your deployment.
Wskadmin is the tool to perform various administrative operations against an OpenWhisk deployment.
Since wskadmin requires credentials for direct access to the database (that is not normally accessible to the outside), it is deployed in a pod inside Kubernetes that is configured with the proper parameters. You can run wskadmin with kubectl. You need to use the <namespace> and the deployment <name> that you configured with --namespace and --name when deploying.
You can then invoke wskadmin with:
kubectl -n <namespace> -ti exec <name>-wskadmin -- wskadmin <parameters>
For example, is your deployment name is owdev and the namespace is openwhisk you can list users in the guest namespace with:
$ kubectl -n openwhisk -ti exec owdev-wskadmin -- wskadmin user list guest
23bc46b1-71f6-4ed5-8c54-816aa4f8c502:123zO3xZCLrMN6v2BKK1dXYFpXlPkccOFqm12CdAsMgRU4VrNZ9lyGVCGuMDGIwP
Check here for details about the available commands.
This section outlines how common OpenWhisk development tasks are supported when OpenWhisk is deployed on Kubernetes using Helm.
Some key differences in a Kubernetes-based deployment of OpenWhisk are
that deploying the system does not generate a whisk.properties file and
that the various internal microservices (invoker, controller,
etc.) are not directly accessible from the outside of the Kubernetes cluster.
Therefore, although you can run full system tests against a
Kubernetes-based deployment by giving some extra command line
arguments, any unit tests that assume direct access to one of the internal
microservices will fail. First clone the core OpenWhisk repository
locally and set $OPENWHISK_HOME to its top-level directory. Then, the
system tests can be executed in a
batch-style as shown below, where WHISK_SERVER and WHISK_AUTH are
replaced by the values returned by wsk property get --apihost and
wsk property get --auth respectively.
cd $OPENWHISK_HOME
./gradlew :tests:testSystemKCF -Dwhisk.auth=$WHISK_AUTH -Dwhisk.server=https://$WHISK_SERVER -Dopenwhisk.home=`pwd`You can also launch the system tests as JUnit test from an IDE by adding the same system properties to the JVM command line used to launch the tests:
-Dwhisk.auth=$WHISK_AUTH -Dwhisk.server=https://$WHISK_SERVER -Dopenwhisk.home=`pwd`NOTE: You need to install JDK 8 in order to run these tests.
If you are using Kubernetes in Docker, it is
straightforward to deploy local images by adding a stanza to your
mycluster.yaml. For example, to use a locally built controller image,
just add the stanza below to your mycluster.yaml to override the default
behavior of pulling a stable openwhisk/controller image from Docker Hub.
controller:
imageName: "whisk/controller"
imageTag: "latest"You can use the helm upgrade command to selectively redeploy one or
more OpenWhisk components. Continuing the example above, if you make
additional changes to the controller source code and want to just
redeploy it without redeploying the entire OpenWhisk system you can do
the following:
If you are using a multi-node Kubernetes cluster you will need to repeat the following steps on all nodes that may run the controller component.
The first step is to rebuild the docker image:
# Execute this command in your openwhisk directory
bin/wskdev controller -bNote that the wskdev flags -x and -d are not compatible
with the Kubernetes deployment of OpenWhisk.
Alternatively, you can build all of the OpenWhisk docker components:
# Execute this command in your openwhisk directory
./gradlew distDockerAfter building the new docker image(s), tag the new image:
# Tag the docker image you seek to redeploy
docker tag whisk/controller whisk/controller:v2Then, edit your mycluster.yaml to contain:
controller:
imageName: "whisk/controller"
imageTag: "v2"Redeploy with Helm by executing this command in your openwhisk-deploy-kube directory:
helm upgrade owdev ./helm/openwhisk -n openwhisk -f mycluster.yamlTo have a lean setup (no Kafka, Zookeeper and no Invokers as separate entities):
controller:
lean: trueUse the following command to remove all the deployed OpenWhisk components:
helm uninstall owdev -n openwhiskBy default, helm uninstall removes the history of previous deployments.
If you want to keep the history, add the command line flag --keep-history.
If your OpenWhisk deployment is not working, check our troubleshooting guide for ideas.
Report bugs, ask questions and request features here on GitHub.
You can also join our slack channel and chat with developers. To get access to our slack channel, request an invite here.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent