Difference between revisions of "Kubeless"
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$ kubeless function deploy hello --runtime python2.7 \ | $ kubeless function deploy hello --runtime python2.7 \ | ||
− | + | --from-file test.py \ | |
− | + | --handler test.hello | |
INFO[0000] Deploying function... | INFO[0000] Deploying function... | ||
INFO[0000] Function hello submitted for deployment | INFO[0000] Function hello submitted for deployment |
Revision as of 11:17, 29 February 2020
Kubeless "is a Kubernetes-native serverless framework that lets you deploy small bits of code (functions) without having to worry about the underlying infrastructure. It is designed to be deployed on top of a Kubernetes cluster and take advantage of all the great Kubernetes primitives". ~ source
Installation
Installation is made of three steps:
- Download the kubeless CLI from the release page;
- create a kubeless namespace (used by default); and
- then use one of the YAML manifests found in the release page to deploy kubeless. It will create a functions Custom Resource Definition and launch a controller.
There are several kubeless manifests being shipped for multiple k8s environments (non-rbac, rbac and openshift), pick the one that corresponds to your environment:
-
kubeless-${RELEASE}.yaml
is used for RBAC Kubernetes cluster. -
kubeless-non-rbac-${RELEASE}.yaml
is used for non-RBAC Kubernetes cluster. -
kubeless-openshift-${RELEASE}.yaml
is used to deploy Kubeless to OpenShift (1.5+).
For example, this below is a show case of deploying kubeless to a Kubernetes cluster (with RBAC available).
$ export RELEASE=$(curl -s https://api.github.com/repos/kubeless/kubeless/releases/latest | grep tag_name | cut -d '"' -f 4) $ kubectl create ns kubeless $ kubectl create -f https://github.com/kubeless/kubeless/releases/download/${RELEASE}/kubeless-${RELEASE}.yaml $ kubectl get pods -n kubeless NAME READY STATUS RESTARTS AGE kubeless-controller-manager-567dcb6c48-ssx8x 1/1 Running 0 1h $ kubectl get deployment -n kubeless NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE kubeless-controller-manager 1 1 1 1 1h $ kubectl get customresourcedefinition NAME AGE cronjobtriggers.kubeless.io 1h functions.kubeless.io 1h httptriggers.kubeless.io 1h
Details on installing kubeless in a different namespace can be found here.
- Install the kubeless CLI:
$ export OS=$(uname -s| tr '[:upper:]' '[:lower:]') $ curl -OL https://github.com/kubeless/kubeless/releases/download/${RELEASE}/kubeless_${OS}-amd64.zip && \ unzip kubeless_${OS}-amd64.zip && \ sudo mv bundles/kubeless_${OS}-amd64/kubeless /usr/local/bin/
Binaries for x86 architectures can be found as well in the releases page.
Sample function
You can use the CLI to create a function. Here is a toy:
def hello(event, context): print event return event['data']
Functions in Kubeless have the same format regardless of the language of the function or the event source. In general, every function:
- Receives an object event as their first parameter. This parameter includes all the information regarding the event source. In particular, the key 'data' should contain the body of the function request.
- Receives a second object context with general information about the function.
- Returns a string/object that will be used as response for the caller.
You can find more details about the function interface here.
You create it with:
$ kubeless function deploy hello --runtime python2.7 \ --from-file test.py \ --handler test.hello INFO[0000] Deploying function... INFO[0000] Function hello submitted for deployment INFO[0000] Check the deployment status executing 'kubeless function ls hello'
Let's dissect the command:
-
hello
: This is the name of the function we want to deploy. -
--runtime python2.7
: This is the runtime we want to use to run our function. Available runtimes can be found executingkubeless get-server-config
. -
--from-file test.py
: This is the file containing the function code. It is supported to specify a zip file as far as it does not exceed the maximum size for an etcd entry (1 MB). -
--handler test.foobar
: This specifies the file and the exposed function that will be used when receiving requests. In this example, we are using the functionfoobar
from the filetest.py
.
You can find the rest of options available when deploying a function executing kubeless function deploy --help
You will see the function custom resource created:
$ kubectl get functions NAME AGE hello 1h $ kubeless function ls NAME NAMESPACE HANDLER RUNTIME DEPENDENCIES STATUS hello default helloget.foo python2.7 1/1 READY
- You can then call the function with:
$ kubeless function call hello --data 'Hello world!' Hello world!
Or you can curl directly with kubectl
proxy using an apiserver proxy URL.
- For example:
$ kubectl proxy -p 8080 & $ curl -L --data '{"Another": "Echo"}' \ --header "Content-Type:application/json" \ localhost:8080/api/v1/namespaces/default/services/hello:http-function-port/proxy/ {"Another": "Echo"}
Kubeless also supports ingress which means you can provide your custom URL to the function. Please refer to this doc for more details.
- Clean up
- You can delete the function and uninstall Kubeless:
$ kubeless function delete hello $ kubeless function ls NAME NAMESPACE HANDLER RUNTIME DEPENDENCIES STATUS $ kubectl delete -f https://github.com/kubeless/kubeless/releases/download/$RELEASE/kubeless-$RELEASE.yaml