Docker ELK with PostgreSQL

Monitor PostgreSQL Data Table and logging data to elasticsearch system with composable index template.

Docker ELK

This repository based on the Docker ELK implementation by deviantony(https://github.com/deviantony/docker-elk)

Run the latest version(8.8.1) of the Elastic stack with Docker and Docker Compose.

It gives you the ability to analyze any data set by using the searching/aggregation capabilities of Elasticsearch and the visualization power of Kibana.

Based on the official Docker images from Elastic:

Elasticsearch
Logstash
Kibana

See more information -> https://github.com/deviantony/docker-elk

Custom Settings

User & Roles

You can create custom elastic user & role in setup/entrypoint.sh, .env and setup/roles/.
Make User

# entrypoint.sh

declare -A users_passwords
users_passwords=(
	[logstash_internal]="${LOGSTASH_INTERNAL_PASSWORD:-}"
	[kibana_system]="${KIBANA_SYSTEM_PASSWORD:-}"
	[monitoring_internal]="${MONITORING_INTERNAL_PASSWORD:-}"
  # add new user
)

Make Role

// setup/roles/custom_role.json example
{
  "cluster": ["manage_index_templates", "monitor", "manage_ilm"],
  "indices": [
    {
      "names": ["logs-generic-default", "logstash-*", "ecs-logstash-*"],
      "privileges": ["write", "create", "create_index", "manage", "manage_ilm"]
    },
    {
      "names": ["logstash", "ecs-logstash"],
      "privileges": ["write", "manage"]
    }
  ]
}

# entrypoint.sh

declare -A users_roles
users_roles=(
	[logstash_internal]='logstash_writer'
	[monitoring_internal]='remote_monitoring_collector'
  # [Username]='{role name}'
)

declare -A roles_files
roles_files=(
	[logstash_writer]='logstash_writer.json'
  # [role name] = 'role file path'
)

Create Index Template

You have to create your own Index Template which is matched with your Data Table.
Analyzer / Tokenizer / Filter and Mapping information should be included.
You can find composable index template examples under logstash/templates.

If your elastic version > 7.8.x, you have to use composable format index template. If not, legacy index format is okay. For more information, please see documentation(https://www.elastic.co/guide/en/elasticsearch/reference/current/index-templates.html)

Modify logstash pipeline

Change jdbc_connection_string, jdbc_user, jdbc_password.
If you wanna use sql_last_run value to prevent duplication of data, you can use last_run_metadata_path. It tracks last run data depending on tracking_column value in Data Table and save value in last_run_metadata_path.
Of course, you can make your own logstash pipeline under logstash/pipeline/.

Run Docker Compose

Start Docker Compose

$ docker-compose up setup
$ docker-compose up

Stop and Reset Docker Compose

$ docker-compose down -v

melli0505/Docker-ELK-PostgreSQL