This tool allows exporting the often missed Kubernetes events to various outputs so that they can be used for observability or alerting purposes. You won't believe what you are missing.

Deployment

Head on to deploy/ folder and apply the YAMLs in the given filename order. Do not forget to modify the deploy/01-config.yaml file to your configuration needs. The additional information for configuration is as follows:

Configuration

Configuration is done via a YAML file, when run in Kubernetes, it's in ConfigMap. The tool watches all the events and user has to option to filter out some events, according to their properties. Critical events can be routed to alerting tools such as Opsgenie, or all events can be dumped to an Elasticsearch instance. You can use namespaces, labels on the related object to route some Pod related events to owners via Slack. The final routing is a tree which allows flexibility. It generally looks like following:

route:
  # Main route
  routes: 
    # This route allows dumping all events because it has no fields to match and no drop rules.
    - match:
      - receiver: dump
    # This starts another route, drops all the events in *test* namespaces and Normal events 
    # for capturing critical events 
    - drop:
      - namespace: "*test*"
      - type: "Normal"
      match: 
      - receiver: "critical-events-queue"
    # This a final route for user messages
    - match:
        kind: "Pod|Deployment|ReplicaSet"
        labels:
          version: "dev"    
        receiver: "slack"    
receivers:
# See below for configuring the receivers

A match rule is exclusive, all conditions must be matched to the event.
During processing a route, drop rules are executed first to filter out events.
The match rules in a route are independent of each other. If an event matches a rule, it goes down it's subtree.
If all the match rules are matched, the event is passed to the receiver.
A route can have many sub-routes, forming a tree.
Routing starts from the root route.

Opsgenie

Opsgenie is an alerting and on-call management tool. kubernetes-event-exporter can push to events to Opsgenie so that you can notify the on-call when something critical happens. Alerting should be precise and actionable, so you should carefully design what kind of alerts you would like in Opsgenie. A good starting point might be filtering out Normal type of events, while some additional filtering can help. Below is an example configuration.

# ...
receivers:
  - name: "alerts"
    opsgenie:
      apiKey: xxx
      priority: "P3"
      message: "Event {{ .Reason }} for {{ .InvolvedObject.Namespace }}/{{ .InvolvedObject.Name }} on K8s cluster"
      alias: "{{ .UID }}"
      description: "<pre>{{ toPrettyJson . }}</pre>"
      tags:
        - "event"
        - "{{ .Reason }}"
        - "{{ .InvolvedObject.Kind }}"
        - "{{ .InvolvedObject.Name }}"

Webhooks/HTTP

Webhooks are te easiest way of integrating this tool to external systems. It allows templating & custom headers which allows you to push events to many possible sources out there. See [Customizing Payload] for more information.

# ...
receivers:
  - name: "alerts"
    webhook:
      endpoint: "https://my-super-secret-service.com"
      headers:
        X-API-KEY: "123"
        User-Agent: kube-event-exporter 1.0
      layout: # Optional

Elasticsearch

Elasticsearch is a full-text, distributed search engine which can also do powerful aggregations. You may decide to push all events to Elasticsearch and do some interesting queries over time to find out which images are pulled, how often pod schedules happen etc. You can watch the presentation in Kubecon to see what else you can do with aggregation and reporting.

# ...
receivers:
  - name: "dump"
    elasticsearch:
      hosts:
      - http://localhost:9200
      index: kube-events            
      # Ca be used optionally for time based indices, accepts Go time formatting directives
      indexFormat: "kube-events-{2006-01-02}"
      username: # optional
      password: # optional
      cloudID: # optional
      apiKey: # optional
      sslVerificationMode: none # optional, for self signed ssl certificate
      # If set to true, it allows updating the same document in ES (might be useful handling count)
      useEventID: true|false
      layout: # Optional

Slack

Slack is a cloud-based instant messaging platform where many people use it for integrations and getting notified by software such as Jira, Opsgenie, Google Calendar etc. and even some implement ChatOps on it. This tool also allows exporting events to Slack channels or direct messages to persons. If your objects in Kubernetes, such as Pods, Deployments have real owners, you can opt-in to notify them via important events by using the labels of the objects. If a Pod sandbox changes and it's restarted, or it cannot find the Docker image, you can immediately notify the owner.

# ...
receivers:
  - name: "slack"
    slack:
      token: YOUR-API-TOKEN-HERE
      channel: "@{{ .InvolvedObject.Labels.owner }}"
      message: "{{ .Message }}"
      fields:
        namespace: "{{ .Namespace }}"
        reason: "{{ .Reason }}"
        object: "{{ .Namespace }}"

Kinesis

Kinesis is an AWS service allows to collect high throughput messages and allow it to be used in stream processing.

# ...
receivers:
  - name: "kinesis"
    kineis:
      streamName: "events-pipeline"
      region: us-west-2
      layout: # Optional

SNS

SNS is an AWS service for highly durable pub/sub messaging system.

# ...
receivers:
  - name: "sns"
    sns:
      topicARN: "arn:aws:sns:us-east-1:1234567890123456:mytopic"
      region: "us-west-2"
      layout: # Optional

SQS

SQS is an AWS service for message queuing that allows high throughput messaging.

# ...
receivers:
  - name: "file"
    sqs:
      queueName: "/tmp/dump"
      region: us-west-2
      layout: # Optional

File

For some debugging purposes, you might want to push the events to files. Or you can already have a logging tool that can ingest these files and it might be a good idea to just use plain old school files as an integration point.

# ...
receivers:
  - name: "file"
    file:
      path: "/tmp/dump"
      layout: # Optional

Kafka

Kafka is a popular tool used for real-time data pipelines. You can combine it with other tools for further analysis.

receivers:
  - name: "kafka"
    kafka:
      topic: "kube-event"
      brokers:
        - "localhost:9092"
      tls:
        enable: false
        certFile: "kafka-client.crt"
        keyFile: "kafka-client.key"
        caFile: "kafka-ca.crt"

Customizing Payload

Some receivers allow customizing the payload. This can be useful to integrate it to external systems that require the data be in some format. It is designed to reduce the need for code writing. It allows mapping an event using Go templates, with sprig library additions. It supports a recursive map definition, so that you can create virtually any kind of JSON to be pushed to a webhook, a Kinesis stream, SQS queue etc.

# ...
receivers:
  - name: pipe
    kinesis:
      region: us-west-2
      streamName: event-pipeline
      layout:
        region: "us-west-2"
        eventType: "kubernetes-event"
        createdAt: "{{ .GetTimestampMs }}"
        details:
          message: "{{ .Message }}"
          reason: "{{ .Reason }}"
          type: "{{ .Type }}"
          count: "{{ .Count }}"
          kind: "{{ .InvolvedObject.Kind }}"
          name: "{{ .InvolvedObject.Name }}"
          namespace: "{{ .Namespace }}"
          component: "{{ .Source.Component }}"
          host: "{{ .Source.Host }}"
          labels: "{{ toJson .InvolvedObject.Labels}}"

Pubsub

Pub/Sub is a fully-managed real-time messaging service that allows you to send and receive messages between independent applications.

receivers:
  - name: "pubsub"
    pubsub:
      gcloud_project_id: "my-project"
      topic: "kube-event"
      create_topic: False

Planned Receivers

Big Query
AWS Firehose
Splunk
Redis
Logstash
Console