- FAQ
- Q: How to use private image repositories in OpenFunction?
- Q: How to access the Knative-runtime function without introducing a new ingress controller?
- Q: How to enable and configure concurrency for functions?
- Q: How to create source repository credential for the function image build process?
- Q: How to install OpenFunction in an offline environment?
- Q: How to build and run functions in an offline environment
FAQ
This document describes FAQs when using OpenFunction.
Q: How to use private image repositories in OpenFunction?
A: OpenFunction uses Shipwright (which utilizes Tekton to integrate with Cloud Native Buildpacks) in the build phase to package the user function to the application image.
Users often choose to access a private image repository in an insecure way, which is not yet supported by the Cloud Native Buildpacks.
We offer a workaround as below to get around this limitation for now:
- Use IP address instead of hostname as access address for private image repository.
- You should skip tag-resolution when you run the Knative-runtime function.
For references:
buildpacks/tekton-integration#31
Q: How to access the Knative-runtime function without introducing a new ingress controller?
A: OpenFunction provides a unified entry point for function accessibility, which is based on the Ingress Nginx implementation. However, for some users, this is not necessary, and instead, introducing a new ingress controller may affect the current cluster.
In general, accessible addresses are for the sync(Knative-runtime) functions. Here are two ways to solve this problem:
Magic DNS
You can follow this guide to config the DNS.
CoreDNS
This is similar to using Magic DNS, with the difference that the configuration for DNS resolution is placed inside CoreDNS. Assume that the user has configured a domain named “openfunction.dev” in the ConfigMap
config-domain
under theknative-serving
namespace (as shown below):$ kubectl -n knative-serving get cm config-domain -o yaml
apiVersion: v1
data:
openfunction.dev: ""
kind: ConfigMap
metadata:
annotations:
knative.dev/example-checksum: 81552d0b
labels:
app.kubernetes.io/part-of: knative-serving
app.kubernetes.io/version: 1.0.1
serving.knative.dev/release: v1.0.1
name: config-domain
namespace: knative-serving
Next, let’s add an A record for this domain. OpenFunction uses Kourier as the default network layer for Knative Serving, which is where the domain should flow to.
$ kubectl -n kourier-system get svc
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
kourier LoadBalancer 10.233.7.202 <pending> 80:31655/TCP,443:30980/TCP 36m
kourier-internal ClusterIP 10.233.47.71 <none> 80/TCP 36m
Then the user only needs to configure this Wild-Card DNS resolution in CoreDNS to resolve the URL address of any Knative Service in the cluster.
Where “10.233.47.71” is the address of the Service kourier-internal.
$ kubectl -n kube-system get cm coredns -o yaml
apiVersion: v1
data:
Corefile: |
.:53 {
errors
health
ready
template IN A openfunction.dev {
match .*\.openfunction\.dev
answer "{{ .Name }} 60 IN A 10.233.47.71"
fallthrough
}
kubernetes cluster.local in-addr.arpa ip6.arpa {
pods insecure
fallthrough in-addr.arpa ip6.arpa
}
hosts /etc/coredns/NodeHosts {
ttl 60
reload 15s
fallthrough
}
prometheus :9153
forward . /etc/resolv.conf
cache 30
loop
reload
loadbalance
}
...
If the user cannot resolve the URL address for this function outside the cluster, configure the
hosts
file as follows:Where “serving-sr5v2-ksvc-sbtgr.default.openfunction.dev” is the URL address obtained from the command “kubectl get ksvc”.
10.233.47.71 serving-sr5v2-ksvc-sbtgr.default.openfunction.dev
After the above configuration is done, you can get the URL address of the function with the following command. Then you can trigger the function via curl
or your browser.
$ kubectl get ksvc
NAME URL
serving-sr5v2-ksvc-sbtgr http://serving-sr5v2-ksvc-sbtgr.default.openfunction.dev
Q: How to enable and configure concurrency for functions?
A: OpenFunction categorizes function types into “sync runtime” and “async runtime” based on the type of request being handled. These two types of functions are driven by Knative Serving and Dapr + KEDA.
Therefore, to enable and configure the concurrency of functions, you need to refer to the specific implementation in the above components.
The following section describes how to enable and configure concurrency of functions in OpenFunction according to the “sync runtime” and “async runtime” sections.
Sync runtime
You can start by referring to this document in Knative Serving on enabling and configuring concurrency capabilities.
Knative Serving has Soft limit and Hard limit configurations for the concurrency feature.
Soft limit
You can refer to the Global(ConfigMap)
and Global(Operator)
sections of this document to configure global concurrency capabilities.
And for Per Revision
you can configure it like this.
apiVersion: core.openfunction.io/v1beta1
kind: Function
metadata:
name: function-sample
spec:
serving:
scaleOptions:
knative:
autoscaling:
target: "200"
Hard limit
OpenFunction currently doesn’t support configuring Hard limit for Per Revision
. You can refer to the Global(ConfigMap)
and Global(Operator)
sections of this document to configure global concurrency capabilities.
In summary
In a nutshell, you can configure Knative Serving’s Autoscaling-related configuration items for each function as follows, just as long as they can be passed in as Annotation, otherwise, you can only do global settings.
# Configuration in Knative Serving
apiVersion: serving.knative.dev/v1
kind: Service
metadata:
name: helloworld-go
namespace: default
spec:
template:
metadata:
annotations:
autoscaling.knative.dev/<key>: "value"
# Configuration in OpenFunction (recommended)
apiVersion: core.openfunction.io/v1beta1
kind: Function
metadata:
name: function-sample
spec:
serving:
scaleOptions:
knative:
autoscaling:
<key>: "value"
# Alternative approach
apiVersion: core.openfunction.io/v1beta1
kind: Function
metadata:
name: function-sample
spec:
serving:
annotations:
autoscaling.knative.dev/<key>: "value"
Async runtime
You can start by referring to the document in Dapr on enabling and configuring concurrency capabilities.
Compared to the concurrency configuration of sync runtime, the concurrency configuration of async runtime is simpler.
# Configuration in Dapr
apiVersion: apps/v1
kind: Deployment
metadata:
name: nodesubscriber
namespace: default
spec:
template:
metadata:
annotations:
dapr.io/app-max-concurrency: "value"
# Configuration in OpenFunction (recommended)
apiVersion: core.openfunction.io/v1beta1
kind: Function
metadata:
name: function-sample
spec:
serving:
annotations:
dapr.io/app-max-concurrency: "value"
Q: How to create source repository credential for the function image build process?
A: You may be prompted with errors like Unsupported type of credentials provided, either SSH private key or username/password is supported (exit code 110)
when using spec.build.srcRepo.credentials
, which means you are using an incorrect Secret resource as source repository crendital.
OpenFunction currently implements the function image building framework based on ShipWright, so we need to refer to this document to setup the correct source repository credential.
Q: How to install OpenFunction in an offline environment?
A: You can install and use OpenFunction in an offline environment by following steps:
Pull the Helm Chart
Pull the helm chart in an environment that can access GitHub:
helm repo add openfunction https://openfunction.github.io/charts/
helm repo update
helm pull openfunction/openfunction
Then use tools like scp to copy the helm package to your offline environment, e.g.:
scp openfunction-v0.8.1-v0.4.0.tgz <username>@<your-machine-ip>:/home/<username>/
Synchronize images
You need to sync these images to your private image repository:
# dapr
docker.io/daprio/dashboard:0.10.0
docker.io/daprio/dapr:1.8.3
# keda
openfunction/keda:2.8.1
openfunction/keda-metrics-apiserver:2.8.1
# contour
docker.io/bitnami/contour:1.21.1-debian-11-r5
docker.io/bitnami/envoy:1.22.2-debian-11-r6
docker.io/bitnami/nginx:1.21.6-debian-11-r10
# tekton-pipelines
openfunction/tektoncd-pipeline-cmd-controller:v0.37.2
openfunction/tektoncd-pipeline-cmd-kubeconfigwriter:v0.37.2
openfunction/tektoncd-pipeline-cmd-git-init:v0.37.2
openfunction/tektoncd-pipeline-cmd-entrypoint:v0.37.2
openfunction/tektoncd-pipeline-cmd-nop:v0.37.2
openfunction/tektoncd-pipeline-cmd-imagedigestexporter:v0.37.2
openfunction/tektoncd-pipeline-cmd-pullrequest-init:v0.37.2
openfunction/tektoncd-pipeline-cmd-workingdirinit:v0.37.2
openfunction/cloudsdktool-cloud-sdk@sha256:27b2c22bf259d9bc1a291e99c63791ba0c27a04d2db0a43241ba0f1f20f4067f
openfunction/distroless-base@sha256:b16b57be9160a122ef048333c68ba205ae4fe1a7b7cc6a5b289956292ebf45cc
openfunction/tektoncd-pipeline-cmd-webhook:v0.37.2
# knative-serving
openfunction/knative.dev-serving-cmd-activator:v1.3.2
openfunction/knative.dev-serving-cmd-autoscaler:v1.3.2
openfunction/knative.dev-serving-cmd-queue:v1.3.2
openfunction/knative.dev-serving-cmd-controller:v1.3.2
openfunction/knative.dev-serving-cmd-domain-mapping:v1.3.2
openfunction/knative.dev-serving-cmd-domain-mapping-webhook:v1.3.2
openfunction/knative.dev-net-contour-cmd-controller:v1.3.0
openfunction/knative.dev-serving-cmd-default-domain:v1.3.2
openfunction/knative.dev-serving-cmd-webhook:v1.3.2
# shipwright-build
openfunction/shipwright-shipwright-build-controller:v0.10.0
openfunction/shipwright-io-build-git:v0.10.0
openfunction/shipwright-mutate-image:v0.10.0
openfunction/shipwright-bundle:v0.10.0
openfunction/shipwright-waiter:v0.10.0
# openfunction
openfunction/openfunction:v0.8.1
openfunction/kube-rbac-proxy:v0.8.0
openfunction/eventsource-handler:v4
openfunction/trigger-handler:v4
openfunction/dapr-proxy:v0.1.1
Create custom values
Create custom-values.yaml
in your offline environment:
touch custom-values.yaml
Edit custom-values.yaml
, add the following content:
knative-serving:
activator:
activator:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-activator
autoscaler:
autoscaler:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-autoscaler
configDeployment:
queueSidecarImage:
repository: <your-private-image-repository>/knative.dev-serving-cmd-queue
controller:
controller:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-controller
domainMapping:
domainMapping:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-domain-mapping
domainmappingWebhook:
domainmappingWebhook:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-domain-mapping-webhook
netContourController:
controller:
image:
repository: <your-private-image-repository>/knative.dev-net-contour-cmd-controller
defaultDomain:
job:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-default-domain
webhook:
webhook:
image:
repository: <your-private-image-repository>/knative.dev-serving-cmd-webhook
shipwright-build:
shipwrightBuildController:
shipwrightBuild:
image:
repository: <your-private-image-repository>/shipwright-shipwright-build-controller
GIT_CONTAINER_IMAGE:
repository: <your-private-image-repository>/shipwright-io-build-git
MUTATE_IMAGE_CONTAINER_IMAGE:
repository: <your-private-image-repository>/shipwright-mutate-image
BUNDLE_CONTAINER_IMAGE:
repository: <your-private-image-repository>/shipwright-bundle
WAITER_CONTAINER_IMAGE:
repository: <your-private-image-repository>/shipwright-waiter
tekton-pipelines:
controller:
tektonPipelinesController:
image:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-controller
kubeconfigWriterImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-kubeconfigwriter
gitImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-git-init
entrypointImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-entrypoint
nopImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-nop
imagedigestExporterImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-imagedigestexporter
prImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-pullrequest-init
workingdirinitImage:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-workingdirinit
gsutilImage:
repository: <your-private-image-repository>/cloudsdktool-cloud-sdk
digest: sha256:27b2c22bf259d9bc1a291e99c63791ba0c27a04d2db0a43241ba0f1f20f4067f
shellImage:
repository: <your-private-image-repository>/distroless-base
digest: sha256:b16b57be9160a122ef048333c68ba205ae4fe1a7b7cc6a5b289956292ebf45cc
webhook:
webhook:
image:
repository: <your-private-image-repository>/tektoncd-pipeline-cmd-webhook
keda:
image:
keda:
repository: <your-private-image-repository>/keda
tag: 2.8.1
metricsApiServer:
repository: <your-private-image-repository>/keda-metrics-apiserver
tag: 2.8.1
dapr:
registry: <your-private-image-registry>/daprio
tag: '1.8.3'
contour:
contour:
image:
registry: <your-private-image-registry>
repository: <your-private-image-repository>/contour
tag: 1.21.1-debian-11-r5
envoy:
image:
registry: <your-private-image-registry>
repository: <your-private-image-repository>/envoy
tag: 1.22.2-debian-11-r6
defaultBackend:
image:
registry: <your-private-image-registry>
repository: <your-private-image-repository>/nginx
tag: 1.21.6-debian-11-r10
Install OpenFunction
Run the following command in an offline environment to try to install OpenFunction:
kubectl create namespace openfunction
helm install openfunction openfunction-v0.8.1-v0.4.0.tgz -n openfunction -f custom-values.yaml
Note
If the helm install
command gets stuck, it may be caused by the job contour-contour-cergen
.
Run the following command to confirm whether the job is executed successfully:
kubectl get job contour-contour-cergen -n projectcontour
If the job exists and the job status is completed, run the following command to complete the installation:
helm uninstall openfunction -n openfunction --no-hooks
helm install openfunction openfunction-v0.8.1-v0.4.0.tgz -n openfunction -f custom-values.yaml --no-hooks
Q: How to build and run functions in an offline environment
A: Let’s take Java functions as an example to illustrate how to build and run functions in an offline environment:
Synchronize
https://github.com/OpenFunction/samples.git
to your private code repositoryFollow this prerequisites doc to create
push-secret
andgit-repo-secret
Change public maven repository to private maven repository:
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>dev.openfunction.samples</groupId>
<artifactId>samples</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<maven.compiler.source>11</maven.compiler.source>
<maven.compiler.target>11</maven.compiler.target>
</properties>
<repositories>
<repository>
<id>snapshots</id>
<name>Maven snapshots</name>
<!--<url>https://s01.oss.sonatype.org/content/repositories/snapshots/</url>-->
<url>your private maven repository</url>
<releases>
<enabled>false</enabled>
</releases>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
</repositories>
<dependencies>
<dependency>
<groupId>dev.openfunction.functions</groupId>
<artifactId>functions-framework-api</artifactId>
<version>1.0.0-SNAPSHOT</version>
</dependency>
</dependencies>
</project>
Make sure to commit the changes to the code repo.
Synchronize
openfunction/buildpacks-java18-run:v1
to your private image repositoryModify
functions/knative/java/hello-world/function-sample.yaml
according to your environment:apiVersion: core.openfunction.io/v1beta1
kind: Function
metadata:
name: function-http-java
spec:
version: "v2.0.0"
image: "<your private image repository>/sample-java-func:v1"
imageCredentials:
name: push-secret
port: 8080 # default to 8080
build:
builder: <your private image repository>/builder-java:v2-18
params:
RUN_IMAGE: "<your private image repository>/buildpacks-java18-run:v1"
env:
FUNC_NAME: "dev.openfunction.samples.HttpFunctionImpl"
FUNC_CLEAR_SOURCE: "true"
srcRepo:
url: "https://<your private code repository>/OpenFunction/samples.git"
sourceSubPath: "functions/knative/java"
revision: "main"
credentials:
name: git-repo-secret
serving:
template:
containers:
- name: function # DO NOT change this
imagePullPolicy: IfNotPresent
runtime: "knative"
If your private mirror repository is insecure, please refer to Use private image repository in an insecure way
Run the following commands to build and run the function:
kubectl apply -f functions/knative/java/hello-world/function-sample.yaml