The ELK stack is a popular open-source logging and observability platform. It consists of three main components: Elasticsearch, Logstash, and Kibana.
- Elasticsearch is a distributed search and analytics engine that can be used to store and search large volumes of data.
- Logstash is a pipeline processor for ingesting, transforming, filtering, and storing logs.
- Kibana is a data visualization dashboard that allows users to explore and analyze Elasticsearch data.
Helm is a package manager for Kubernetes that makes it easy to install and manage complex applications.
This blog post will show you how to effortlessly set up the ELK stack on Kubernetes using Helm for logging.
- A Kubernetes cluster
- Helm installed on your local machine
1.Installing the ELK stack with Helm
To install the ELK stack with Helm, you can use the following commands:
# Install Elasticsearch helm install elasticsearch elastic/elasticsearch # Install Kibana helm install kibana elastic/kibana # Install Logstash helm install logstash elastic/logstash # Install Filebeat helm install filebeat elastic/filebeat
This will install the ELK stack with a default configuration. You can customize the configuration by passing a
values.yaml file to the
helm install command.
2.Configuring Filebeat to ship logs to Elasticsearch
Once you have installed all of the components of the ELK stack, you need to configure Filebeat to ship logs to Elasticsearch.
To do this, edit the
Filebeat configuration file. The default location for this file is
Filebeat configuration file, add the following lines:
output.elasticsearch: hosts: ["elasticsearch-master:9200"]
This will tell Filebeat to ship logs to the Elasticsearch cluster running on the
3.Starting the ELK stack
Once you have configured Filebeat, you can start the ELK stack by running the following commands:
# Start Elasticsearch helm start elasticsearch # Start Kibana helm start kibana # Start Logstash helm start logstash # Start Filebeat helm start filebeat
Once the ELK stack is running, you can access Kibana by visiting the following URL in your web browser:
The default port for the Kibana service is 5601.
5.Using Kibana to analyze logs
Once you have logged in to Kibana, you can start analyzing your logs. Kibana provides a variety of dashboards and visualizations that you can use to explore your logs.
To get started, you can use the Discover dashboard. This dashboard provides a basic overview of your logs, including the number of logs, the log sources, and the log types.
You can also use the Dashboard page to create your own custom dashboards. To do this, click the Create Dashboard button and select the types of visualizations that you want to add to your dashboard.
Once you have created a dashboard, you can use it to analyze your logs in more detail. For example, you can use the Line Chart visualization to see how the number of logs changes over time. You can also use the Pie Chart visualization to see the distribution of log types.
In this blog post, you have learned how to effortlessly set up the ELK stack on Kubernetes using Helm for logging. This will allow you to collect, store, and analyze logs from your Kubernetes applications.
- You can scale the ELK stack by increasing the number of Elasticsearch, Logstash, and Kibana replicas.
- You can use persistent volumes to store Elasticsearch and Logstash data.
- You can use Helm to upgrade the ELK stack to newer versions.
- You can use Logstash to filter and transform logs before they are indexed in Elasticsearch.
- You can use Kibana to create dashboards and visualizations to analyze your logs in more detail.
If you are having problems with the ELK stack, you can check the Elasticsearch, Logstash, and Kibana logs for more information. You can also check the Helm logs to see if there are any errors.If you are still having problems, you can ask for help on the Elasticsearch or Kubernetes mailing lists.
If you are looking for an easy way to manage and automate your cloud infrastructure, Sailor Cloud is a good option to consider. To learn more about Sailor Cloud, please visit the Sailor Cloud website: https://www.sailorcloud.io/
- Elasticsearch on Kubernetes: https://www.elastic.co/guide/en/cloud-on-k8s/current/index.html
- Logstash on Kubernetes: https://www.elastic.co/guide/en/cloud-on-k8s/master/k8s-logstash.html
- Kibana on Kubernetes: https://www.elastic.co/guide/en/cloud-on-k8s/master/k8s-deploy-kibana.html