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Kubernetes using Helm

Deploy and configure the OpenTelemetry Collector on Kubernetes using Helm.

Overview

This guide covers how to collect telemetry data (logs, metrics, and traces) from your Kubernetes environment and send it to base14 Scout.

  • Install base14 Scout's OpenTelemetry Collector using Helm
  • Configure telemetry collection for Kubernetes pods
  • Set up multi-namespace monitoring
  • Configure custom metrics endpoints
  • Implement trace collection

Prerequisites

  • A Kubernetes cluster (EKS, GKE, AKS, or other distributions)
  • Helm 3.x installed
  • kubectl configured with cluster access
  • Scout account credentials
    • Endpoint URL
    • API Key
    • Token URL
    • Application Name

Quick Start Guide

Deploy base14 Scout OpenTelemetry Collector in minutes by following these steps:

helm repo add base14 https://charts.base14.io/
helm install scout base14/scout-collector  \
--namespace scout --create-namespace -f values.yaml

Configuration Guide

Basic Configuration

The values.yaml file below demonstrates a standard configuration for the base14 Scout collector. This configuration is suitable for most deployments and covers essential telemetry collection.

values.yaml
scout:
endpoint: __YOUR_ENDPOINT__
tokenUrl: __YOUR_TOKEN_URL__
appName: __YOUR_APP_NAME__
apiKey: __YOUR_API_KEY__
distribution: EKS # or GKE, AKS, EKS
metrics:
apps:
enabled: true
endpoints:
- name: app1
target: app1.app1.svc.cluster.local:9131
collectionInterval: 60s
- name: haproxy
collectionInterval: 60s
target: haproxy.gateway.svc.cluster.local

Scout helm chart uses the above configuration to configure the OpenTelemetry Collector

  1. Collects logs for the current cluster
  2. Sends k8s events data.
  3. Sends node and pods metrics data.
  4. Sends apps metrics data for the configured app endpoints.
  5. Sets up a local otlp endpoint for apps to send traces which are then forwarded to Scout.

Using Otelcol style configuration

Following is an example of a values.yaml file that can be used to configure scout collector using otelcol style configuration. Here the configuration follows the same semantics as the OpenTelemetry Collector otelcol config. This gives a greater flexibility in terms of what you can configure to be scraped, collected etc. Reference the otel-collector-config for more details.

scout:
endpoint: __YOUR_ENDPOINT__
tokenUrl: __YOUR_TOKEN_URL__
appName: __YOUR_APP_NAME__
apiKey: __YOUR_API_KEY__
distribution: microk8s

otelcolConfig:
enabled: enabled
config: |
receivers:
otlp:
protocols:
grpc:
endpoint: 0.0.0.0:4317
http:
endpoint: 0.0.0.0:4318
processors:
batch:

exporters:
otlphttp/base14:
endpoint: {{scout.endpoint}}
auth:
authenticator: oauth2client
tls:
insecure_skip_verify: true

extensions:
health_check:
pprof:
zpages:
oauth2client:
client_id: {{scout.clientId}}
client_secret: {{scout.clientSecret}}
endpoint_params:
audience: b14collector
token_url: {{scout.tokenUrl}}
tls:
insecure_skip_verify: true

service:
extensions: [health_check, pprof, zpages, oauth2client]
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [otlphttp/base14]
metrics:
receivers: [otlp]
processors: [batch]
exporters: [otlphttp/base14]
logs:
receivers: [otlp]
processors: [batch]
exporters: [otlphttp/base14]