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AriaStack: Logging, Monitoring, Analytics, Replication, and one of the best friends of DevOps guys.

Update!!

for the testing stage we have used docker-compose for production but it is not a valid solution for some security issues. in later versions, we use docker swarm as a valid deployment solution.

About the project

This is a concrete stack on docker-compose for the database Monitoring purpose. actually, this is a CDC platform developed with ELK stack, Debezium, Kafka, and a sample MySQL instance and the main usage is capturing data changes in a database on another database same as elastic search for real-time analytics and so on.

System design

aria drawio(1)

the main concept is about CDC or Capture Data Change. when you need to track your database based on 3 main actions (Create, Update, and Delete) but this Stack is the platform to do that. We have configured the main services you need and services for the maintenance.

Important

MySQL service is demo. you need to connect your real database with your config based on the Debezium document as you see in the debezium.json file.

All of the services are single nodes! if you need you can add more nodes (for example 2 instances of Kafka with the same image).

Warning

DO NOT Change any docker image we used in docker-compose files because you will lose your compatibility.

Note

Each database has its configuration and depends on your scenario. For my demo scenario, I used MySQL and Elasticsearch for sink connection. (capture MySQL changes in elastic search) you may use different databases in the cloud or on-premise.

Tip

You may need to configure your ELK, please use this GitHub link: https://github.com/kayvansol/elasticsearch. project is based on cookie-cutter so you enter your credentials. We have affected the highest level of automation. so you need to connect the remote machine and just use Ansible for installation.

Usage

install it using Ansible : sh ./AriaStack_Ansible/scripts/install_on_remote.sh
run locally : sh ./AriaStack_Ansible/AriaStack/run_stack.sh

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