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Logstash configuration examples on Elastic Cloud on Kubernetes

ECK

Elastic Cloud on Kubernetes extends Kubernetes orchestration capabilities to allow you to deploy and manage components of the Elastic Stack.

Availability

  • Generally available

    This functionality is generally available and ready for production usage.

This documentation corresponds to the latest patch available for each minor version. If you're not using the latest patch, check the release notes for changes.

This section contains manifests that illustrate common use cases, and can be your starting point in exploring Logstash deployed with ECK. These manifests are self-contained and work out-of-the-box on any non-secured Kubernetes cluster. They all contain a three-node Elasticsearch cluster and a single Kibana instance.

Warning

The examples in this section are for illustration purposes only. They should not be considered production-ready. Some of these examples use the node.store.allow_mmap: false setting on Elasticsearch which has performance implications and should be tuned for production workloads, as described in Virtual memory.

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-eck.yaml

Deploys Logstash with a single pipeline defined in the CRD

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-pipeline-as-secret.yaml

Deploys Logstash with a single pipeline defined in a secret, referenced by a pipelineRef

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-pipeline-as-volume.yaml

Deploys Logstash with a single pipeline defined in a secret, mounted as a volume, and referenced by path.config

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-es-role.yaml

Deploys Logstash and Elasticsearch, and creates an updated version of the eck_logstash_user_role to write to a user specified index.

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-volumes.yaml

Deploys Logstash, Beats and Elasticsearch. Logstash is configured with two pipelines:

  • a main pipeline for reading from the Beats instance, which will send to the DLQ if it is unable to write to Elasticsearch
  • a second pipeline, that will read from the DLQ. In addition, persistent queues are set up. This example shows how to configure persistent volumes outside of the default logstash-data persistent volume.
Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-monitored.yaml

Deploys an Elasticsearch and Kibana monitoring cluster, and a Logstash that will send its monitoring information to this cluster. You can view the stack monitoring information in the monitoring cluster’s Kibana

Shell 
kubectl apply -f https://raw.githubusercontent.com/elastic/cloud-on-k8s/3.5/config/recipes/logstash/logstash-multi.yaml

Deploys Elasticsearch in prod and qa configurations, running in separate namespaces. Logstash is configured with a multiple pipeline→pipeline configuration, with a source pipeline routing to prod and qa pipelines.