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Keda ScaledObject As Code Using CDK8S

Keda ScaledObject As Code Using CDK8S

Abstract

  • keda is Kubernetes Event-driven Autoscaling and it's been used wisely now. In this blog, it provides the way to create Keda scaledobject CRD as code using CDK8S typescript.
  • With importing Keda CRDs and using CDK8S you can create Keda scaledobjects using your familiar programming languages such as typescript as scale.

Table Of Contents


πŸš€ Pre-requisite

  • Install typescript, node, and cdk8s as well as projen (optional) which is a tool of managing project configuration as code.
  • Getting started with cdk8s

πŸš€ Overview of Keda

  • KEDA works alongside standard Kubernetes components like the Horizontal Pod Autoscaler and can extend functionality without overwriting or duplication.
  • KEDA supports multiple triggers within an Scaledobject. Each trigger is exposed split as a metric and the HPA Controller does a MAX between all the metrics.

πŸš€ Import Keda CRDs

  • Keda does not provide its CRDs separately so we can found the manifest in GH release section. Here I import the current latest version of keda v2.8.0 and out the imports folder in src/imports

    ⚑ $ cdk8s import https://github.com/kedacore/keda/releases/download/v2.8.0/keda-2.8.0.yaml --output src/imports/
    ------------------------------------------------------------------------------------------------
    A new version 2.0.88 of cdk8s-cli is available (current 2.0.13).
    Run "npm install -g cdk8s-cli" to install the latest version on your system.
    For additional installation methods, see https://cdk8s.io/docs/latest/getting-started
    ------------------------------------------------------------------------------------------------
    Importing resources, this may take a few moments...
    keda.sh
      keda.sh/clustertriggerauthentication
      keda.sh/scaledjob
      keda.sh/scaledobject
      keda.sh/triggerauthentication
    
  • Import result

    ⚑ $ tree src/imports/
    src/imports/
    └── keda.sh.ts
    
    0 directories, 1 file
    

πŸš€ Write code

  • Overview of keda scaledObjects in this post

  • It's much more convinient to use visual code writing KEDA scaledobject in typescript language. We can read the document and find all references of construct, objects and properties of KEDA CRDs

  • This blog provides the usecase of creating scaledObject (SO) for Apache airflow worker component. It contains 3 triggers (Scalers) in the SO

    1. Cron - Scale applications based on a cron schedule. Airflow server scheduled pipelines and worker components are scaled out at that time, but it takes time to start node, join node to cluster and Pod ready (about 2-3mins) so we use cron to pre-scale workers

    2. PostgreSQL - Scale applications based on a PostgreSQL query.

    • This scaler bases on the output of query command to scaleout works, here we count the number of running/queued airflow task instances belongs to scheduled pipeline (eg. running reports). Divide the count number to Airflow worker concurrency (eg. 16 as default)
    • targetQueryValue: '1.5' - The result of above calculation divide to this target value to decide how many pods will be scaled out
    1. CPU - Scale applications based on cpu metrics
    • This is optional as it ensure provisioning workers when CPU Utilization is higher than 80%
  • PostgreSQL Scaler requires TriggerAuthentication to provide password of airflow user in order to query the database. The credential is get from K8S secret airflow-secret within the airflow namespace

      const pgAuth = new TriggerAuthentication(this, 'KedaPostgresAuthentication', {
        metadata: {
          name: 'keda-airflow-postgresql-auth',
          namespace: 'airflow',
        },
        spec: {
          secretTargetRef: [{
            parameter: 'password',
            name: 'airflow-secret',
            key: 'postgresql-password',
          }],
        },
      });
    
  • Some SO specs need to know

    • pollingInterval: This is the interval to check each trigger on. By default KEDA will check each trigger source on every ScaledObject every 30 seconds. So to reduce the query connections/workload to airflow database we need to care this vaule.
    • cooldownPeriod: The period to wait after the last trigger reported active before scaling the resource back to 0.

πŸš€ Build keda scaledobjects from code

  • Source code:

    ⚑ $ tree src/
    src/
    β”œβ”€β”€ imports
    β”‚   └── keda.sh.ts
    β”œβ”€β”€ keda-airflow.ts
    └── main.ts
    
    1 directory, 3 files
    
  • Build resource

    ⚑ $ npx projen build
    πŸ‘Ύ build Β» default | ts-node --project tsconfig.dev.json .projenrc.ts
    πŸ‘Ύ build Β» compile | tsc --build
    πŸ‘Ύ build Β» post-compile Β» synth | cdk8s synth
    No manifests synthesized
    πŸ‘Ύ build Β» test | jest --passWithNoTests --all --updateSnapshot
    No tests found, exiting with code 0
    ----------|---------|----------|---------|---------|-------------------
    File      | % Stmts | % Branch | % Funcs | % Lines | Uncovered Line #s
    ----------|---------|----------|---------|---------|-------------------
    All files |       0 |        0 |       0 |       0 |
    ----------|---------|----------|---------|---------|-------------------
    πŸ‘Ύ build Β» test Β» eslint | eslint --ext .ts,.tsx --fix --no-error-on-unmatched-pattern src test build-tools projenrc .projenrc.ts
    
  • Manifest yaml file

    ⚑ $ tree dist/
    dist/
    └── keda
        └── airflow-keda-so.yaml
    
    1 directory, 1 file
    

πŸš€ Apply and test

  • Apply manifest and check result
    # k apply -f
    
    # k get so -n airflow
    NAME               SCALETARGETKIND       SCALETARGETNAME   MIN   MAX   TRIGGERS   AUTHENTICATION                 READY   ACTIVE   FALLBACK   AGE
    airflow-worker-1   apps/v1.StatefulSet   airflow-worker    2     12    cron       keda-airflow-postgresql-auth   True    True     False      2d21h
    
    # k get hpa -n airflow
    NAME                        REFERENCE                    TARGETS                                  MINPODS   MAXPODS   REPLICAS   AGE
    keda-hpa-airflow-worker-1   StatefulSet/airflow-worker   500m/1 (avg), 500m/1 (avg) + 2 more...   2         12        2          2d21h
    

πŸš€ Conclusion

  • Within the Scaledobject class, you can jump to definition to understand the meaning of each properties and also know which required/optional attributes.
  • We can create a custom construct and base on that to provision multiple KEDA scaledobjects with customize specs/meta such as min/max/desired replicas, triggers, trigger authentication, etc.

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License:Apache License 2.0


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