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KEDA Prometheus Scaler

Overview​

Kubernetes Event-Driven Autoscaling (KEDA) can scale workloads based on events from various sources, called "Scalers". It has a Prometheus Scaler, that can query metrics from Oodle.

This guide shows you Oodle-specific configurations for KEDA's Prometheus Scaler.

Prerequisites​

To connect KEDA to Oodle via Oodle's Prometheus API, you will need the following:

  • OODLE_INSTANCE: Your Oodle instance ID. Go to Settings icon -> API Keys page in your Oodle UI to find out. (Oodle UI links: ap1, us1)
  • OODLE_API_KEY: Your Oodle API key for authentication. Go to Settings icon -> API Keys in your Oodle UI to choose an appropriate key. (Oodle UI links: ap1, us1)

Configuring KEDA to Query Oodle​

Set serverAddress and customHeaders for each prometheus trigger of the ScaledObject:

apiVersion: keda.sh/v1alpha1
kind: ScaledObject
metadata: ...
spec:
  ...
  triggers:
  - type: prometheus
    metadata:
      serverAddress: https://<OODLE_INSTANCE>.api.oodle.ai
      customHeaders: "X-API-KEY=<OODLE_API_KEY>,OODLE-INSTANCE=<OODLE_INSTANCE>"
      query: |
        sum(
          rate(
            http_requests_total{
              namespace="default"
            }[2m]
          )
        ) / sum(
          http_server_count{
            namespace="default"
          }
        )
      threshold: "10"
      activationThreshold: "1"

Steps​

KEDA Integration

You can configure KEDA to query Oodle by following these steps:

  1. Login to the Oodle UI, then navigate to Settings page
  2. Click on the Prometheus tile
  3. Choose an appropriate API key from the list on top of the drawer

Follow the steps in the drawer to setup the KEDA configuration to query Oodle

Support​

If you have any questions or need assistance with KEDA integration, please contact us via our help chat app available on the Support link in the sidebar, or by reaching out to support@oodle.ai.