Setting up EFK

EFK is a set of logging solution. It helps you view the application logs. You can view these metrices using Grafana that presents the information to you in graphical dashboard.

This section guides you on deploying EFK. It also discusses how you can configure Prometheus to store Adeptia Connect metrices. 

Prerequisites

• Kubernetes 1.16+
• Helm 3+

Elasticsearch

Prerequisites 

• Minimum cluster requirements include the following to run this chart with default settings. All of these settings are configurable.
• Three Kubernetes nodes to respect the default "hard" affinity settings
• 1GB of RAM for the JVM heap

Installation

To deploy Elasticsearch, you need to follow the steps as given below.

• Run the following command to add the  Elasticsearch helm chart from the  Elasticsearch helm repository.
• helm repo add elastic https://helm.elastic.co
• Update the Helm repository by running the following command.
• helm repo update
• Run the helm install command as shown below to deploy  Elasticsearch.
• helm install elasticsearch elastic/elasticsearch  -n <NAMESPACE>

FluentD

Installation

To deploy FluentD, you need to follow the steps as given below.

• Run the following command to add the  FluentD helm chart from the  FluentD helm repository.
• helm repo add fluent https://fluent.github.io/helm-charts
• Update the Helm repository by running the following command.
• helm repo update
• Run the helm install command as shown below to deploy  FluentD .
• helm install fluentd fluent/fluentd  -n <NAMESPACE>

Kibana

Installation

To deploy Kibana, you need to follow the steps as given below.

• Run the following command to add the   Kibana helm chart from the   Kibana helm repository.
• helm repo add elastic https://helm.elastic.co
• Update the Helm repository by running the following command.
• helm repo update
• Run the helm install command as shown below to deploy   Kibana.
• helm install kibana elastic/kibana  -n <NAMESPACE>