FinOps Operator Exporter

This repository is part of the wider exporting architecture for the Krateo Composable FinOps and manages the exporting from API endpoints of FOCUS cost reports.

Summary

1. Overview
2. Architecture
3. Examples
4. Configuration

Overview

This component is tasked with the creation of a generic exporting pipeline, according to the description given in a Custom Resource (CR). After the creation of the CR, the operator reads the "exporting" configuration and creates three resources: a deployment with a generic prometheus exporter inside, a configmap containing the configuration and a service that exposes the prometheus metrics. The given endpoint is supposed to be a CSV file containing a FOCUS report. Then, it creates a new CR for the FinOps Operator Scraper, which starts a generic scraper that scrapes the data and uploads it to a database.

Architecture

Examples

apiVersion: finops.krateo.io/v1
kind: DatabaseConfig
metadata:
  name: # DatabaseConfig name
  namespace: # DatabaseConfig namespace
spec:
  username: # username string
  passwordSecretRef: # object reference to secret with password
    name: # secret name
    namespace: # secret namespace
    key: # secret key
---
apiVersion: finops.krateo.io/v1
kind: ExporterScraperConfig
metadata:
  name: # ExporterScraperConfig name
  namespace: # ExporterScraperConfig namespace
spec:
  exporterConfig: # same as krateoplatformops/finops-prometheus-exporter-generic
    provider: 
      name: # name of the provider config
      namespace: # namespace of the provider config
    url: # url including http/https of the CSV-based API to export, parts with <varName> are taken from additionalVariables: http://<varName> -> http://sample 
    requireAuthentication: # true/false
    authenticationMethod: # one of: bearer-token, cert-file
    # bearerToken: # optional, if "authenticationMethod: bearer-token", objectRef to a standard Kubernetes secret with specified key
    #  name: # secret name
    #  namespace: # secret namespace
    #  key: # key of the secret
    # metricType: # optional, one of: cost, resource; default value: resource
    pollingIntervalHours: # int
    additionalVariables:
      varName: sample
      # Variables whose value only contains uppercase letters are taken from environment variables
      # FROM_THE_ENVIRONMENT must be the name of an environment variable inside the target exporter container
      envExample: FROM_THE_ENVIRONMENT
  scraperConfig: # configuration for krateoplatformops/finops-operator-scraper
    tableName: # tableName in the database to upload the data to
    # url: # path to the exporter, optional (if missing, its taken from the exporter)
    pollingIntervalHours: # int
    scraperDatabaseConfigRef: # See above kind DatabaseConfig
      name: # name of the databaseConfigRef CR 
      namespace: # namespace of the databaseConfigRef CR

If the field metricType is set to cost, then the API in url must expose a FOCUS report in a CSV file. Otherwise, if set to resource, it must expose usage metrics according to the JSON/OPENAPI schema in the folder resources and the field additionalVariables must contain a field ResourceId with the identifier of the resources to be used in the database as external key to reference the cost metric from the usage metric (i.e., the same as the field resourceId of the focusConfig CR).

The field provider is an object reference to a set of CRs that identify, for a given provider, which resources and which additional metrics should be exported and scraped. For example, for the CPU usage of virtual machines on Azure:

apiVersion: finops.krateo.io/v1
kind: ProviderConfig
metadata:
  name: azure
  namespace: finops
spec:
  resourcesRef:
  - name: azure-virtual-machines
    namespace: finops
- - -
apiVersion: finops.krateo.io/v1
kind: ResourceConfig
metadata:
  name: azure-virtual-machines
  namespace: finops
spec:
  resourceFocusName: Virtual machine
  metricsRef:
  - name: azure-vm-cpu-usage
    namespace: finops
- - -
apiVersion: finops.krateo.io/v1
kind: MetricConfig
metadata:
  name: azure-vm-cpu-usage
  namespace: finops
spec:
  metricName: Percentage CPU
  endpoint:
    resourceSuffix: /providers/microsoft.insights/metrics?api-version=2023-10-01
  timespan: month
  interval: PT15M

Configuration

Prerequisites

• go version v1.21.0+
• docker version 17.03+.
• kubectl version v1.11.3+.
• Access to a Kubernetes v1.11.3+ cluster.

Installation with HELM

$ helm repo add krateo https://charts.krateo.io
$ helm repo update krateo
$ helm install finops-operator-exporter krateo/finops-operator-exporter

To start the exporting process, see the examples section. The configuration sample includes the database-config CR.

The exporter container is created in the namespace of the CR. The exporter container looks for a secret in the CR namespace called registry-credentials, configurable in the HELM chart.

Dependencies

To run this repository in your Kubernetes cluster, you need to have the following images in the same container registry:

• prometheus-exporter-generic
• prometheus-scraper-generic
• operator-scraper
• prometheus-resource-exporter-azure

There is also the need to have an active Databricks cluster, with SQL warehouse and notebooks configured. Its login details must be placed in the database-config CR.

Bearer-token for Azure

In order to invoke Azure API, the exporter needs to be authenticated first. In the current implementation, it utilizes the Azure REST API, which require the bearer-token for authentication. For each target Azure subscription, an application needs to be registered and assigned with the Cost Management Reader role.

Once that is completed, run the following command to obtain the bearer-token (1h validity):

curl -X POST -d 'grant_type=client_credentials&client_id=<CLIENT_ID>&client_secret=<CLIENT_SECRET>&resource=https%3A%2F%2Fmanagement.azure.com%2F' https://login.microsoftonline.com/<TENANT_ID>/oauth2/token