5 Strategies for Mitigating Kubernetes Security Risks
Since Google first introduced Kubernetes, it’s become one of the most popular DevOps platforms on the market. Unfortunately, increasingly widespread usage has made Kubernetes a growing…
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OpenTelemetry is an open-source observability framework that provides a vendor-neutral and language-agnostic way to collect and analyze telemetry data. This tutorial will show you how to integrate OpenTelemetry on Kubernetes, a popular container orchestration platform.
The first step is to install the OpenTelemetry Collector on your Kubernetes cluster. You can do this by creating a Kubernetes Deployment and Service for the collector, using the following YAML file:
apiVersion: apps/v1 kind: Deployment metadata: name: otel-collector spec: replicas: 1 selector: matchLabels: app: otel-collector template: metadata: labels: app: otel-collector spec: containers: - name: otel-collector image: open-telemetry/opentelemetry-collector ports: - containerPort: 55678 env: - name: OTEL_EXPORTER_OTLP_ENDPOINT value: <your_otel_exporter_endpoint> --- apiVersion: v1 kind: Service metadata: name: otel-collector spec: selector: app: otel-collector ports: - name: otel-collector-port port: 55678 targetPort: 55678
The next step is to install the OpenTelemetry Agent on your Kubernetes cluster. You can do this by creating a Kubernetes DaemonSet for the agent, using the following YAML file:
apiVersion: apps/v1 kind: DaemonSet metadata: name: otel-agent spec: selector: matchLabels: app: otel-agent template: metadata: labels: app: otel-agent spec: containers: - name: otel-agent image: open-telemetry/opentelemetry-agent ports: - containerPort: 55678 env: - name: OTEL_EXPORTER_OTLP_ENDPOINT value: <your_otel_exporter_endpoint>
The final step is to instrument your application with OpenTelemetry. You can do this by adding the OpenTelemetry SDK for your programming language to your application. This will depend on the framework and programming language you are using.
When configuring the OpenTelemetry Collector to collect logs on a Kubernetes cluster, you will need to specify the appropriate settings for the log exporter and the log processor.
Here is an example configuration for a Collector that is set up to collect logs from Kubernetes pods and send them to a log sink like Elasticsearch or Logstash.
Begin by configuring the log exporter:
exporters: logs: type: logstash config: endpoint: <logstash_endpoint> port: <logstash_port> protocol: <logstash_protocol>
After your exporter is in place, configure the processor to enable Kubernetes log processing. This will include metadata as part of your Kubernetes logs.
processors: logs: config: k8s: enabled: true namespace: <your_k8s_namespace>
Finally, configure your Open Telemetry collector to scrape the data that it needs from the appropriate configuration.
scrapers: k8s: config: k8s_sd_configs: - role: pod
Kubernetes and OpenTelemetry fit perfectly together, and form a platform that is not only observed, but acts as a ready made observability toolkit for all of the applications that run within the cluster.