Kubeless is a native serverless framework based on Kubernetes. It allows users to deploy small amounts of code (functions) without worrying about the underlying architecture.

Build the Kubeless platform quickly

Kubeless profile

Kubeless is a native serverless framework based on Kubernetes. It allows users to deploy small amounts of code (functions) without worrying about the underlying architecture. It is deployed on top of the Kubernetes cluster and takes full advantage of Kubernetes’ features and resource types to clone content on AWS Lambda, Azure Functions, and Google Cloud Functions.

The main features of Kubeless can be summarized in the following aspects.

  • Support Python, Node.js, Ruby, PHP, Go,.NET, Ballerina language writing and custom runtime.
  • Kubeless CLI conforms to AWS Lambda CLI.
  • Event triggers use the Kafka messaging system and HTTP triggers.
  • Prometheus monitors function calls and delays by default.
  • Support for the Serverless framework plug-in.

Because the features of Kubeless are built on top of Kubernetes, it is very easy for people familiar with Kubernetes to deploy Kubeless. Its main implementation is to convert user-written functions into CRD (Custom Resource Definition) in Kubernetes, and run in the cluster in the way of containers.

Kubeless deployment

Create Kubeless service on existing Kubernetes cluster:

export RELEASE=$(curl -s https://api.github.com/repos/kubeless/kubeless/releases/ latest | grep tag_name | cut -d '"' -f  4)kubectl create ns kubelesskubectl create -f https://github.com/kubeless/kubeless/releases/download/$RELEASE/ kubeless-$RELEASE.yamlCopy the code

After successful creation, the following figure is displayed

Install and configure Kubeless

View basic information:

kubectl get pods -n kubeless
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The related Pod information is shown in the figure below

View Kubeless related pods

View Deployment information:

kubectl get deployment -n kubeless
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The related information is shown in the figure

View information about Kubeless Deployment

View customResourceDefinition information:

kubectl get customresourcedefinition
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The related information is shown in the figure

View customResourceDefinition information

Download the command line tool

Download the Kubeless tool and unzip it:

export OS=$(uname -s| tr '[:upper:]' '[:lower:]')curl -OL https://github.com/kubeless/kubeless/releases/download/$RELEASE/kubeless_   $OS-amd64.zipunzip kubeless_$OS-amd64.zip
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View after decompression:

./bundles/kubeless_linux-amd64/kubeless
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The details are shown in the figure

Use the Kubeless command line tool

Acceptance testing

Create test code helloworld.py:

def hello(event, context):   print(event)   return event['data']
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Deployment project:

/bundles/kubeless_linux-amd64/kubeless function deploy hello-world -- Runtime python3.6 --from-file helloworld.py --handler helloworld.helloCopy the code

After successful deployment, view project information:

kubectl get functions
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The list of functions is shown below

View the list of functions

View the example function:

./bundles/kubeless_linux-amd64/kubeless function ls
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The function state is shown in the figure

Trigger function:

./bundles/kubeless_linux-amd64/kubeless function call hello-world --data 'Hello world! 'Copy the code

When the trigger is complete, you see the output:

View the log output from the example, as shown

View logs in the instance

At this point, we have successfully created the Kubeless service on the Kubernetes cluster and are experiencing the Hello World implementation of the Kubeless version without a hitch.

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