Ingestion of Jira issues from Jira Service Management into Elasticsearch via Logstash-Python

0. Clone this repository

FYI, these are the versions being used. Any version can work. Just change the versions inside the docker-compose.yaml file for containers, and installation.py for python

elasticsearch's image: docker.elastic.co/elasticsearch/elasticsearch:7.16.3
logstash's image: docker.elastic.co/logstash/logstash:7.16.3
kibana's image: docker.elastic.co/kibana/kibana:7.16.3
jira's image: atlassian/jira-software:8.14
python: 2.70

1. Download the volume of Jira docker container (Not needed)

Go to my onedrive to download test.tar coz Github says the file is over 100MB, cannot upload.

You can mount the test.tar.gz into a Docker container using the -v flag in the docker run command.

docker run -it -v /path/to/test.tar.gz:/test.tar.gz alpine sh

This will start a new container from the alpine image and mount the test.tar.gz at the root directory of the container as /test.tar.gz. The -it flag opens an interactive terminal session in the container and the sh command starts the shell.

Once you're inside the container, you can extract the contents of the tar file using the tar command:

tar -xvf /test.tar.gz

This will extract the contents of the test.tar.gz file to the current working directory inside the container.

In the docker-compose.yml, add the following volumes lines in the jira section.

Disclaimer: Not sure whether this part is correct coz never tried mounting the test.tar.gz.

services:
   ...
   jira:
     image: atlassian/jira-software:8.14
     ports:
       - 8080:8080
     networks:
       - elk_stack
     restart: "no"
     mem_limit: 1g
    volumes:
      - 1051ede03573f84b77948bda919f034945e80aa701a181a0c2b48fe3854377b1:/var/atlassian/application-data/jira

volumes:
  1051ede03573f84b77948bda919f034945e80aa701a181a0c2b48fe3854377b1:
    external: true
    name: 1051ede03573f84b77948bda919f034945e80aa701a181a0c2b48fe3854377b1

2. Run the containers in the same directory as docker-compose.yaml, with this command on cmd

docker-compose up -d

The output on command line should look something like this with all 4 containers started and running.

[+] Running 4/4
 - Container elk_elasticsearch  Started                                                                            2.9s
 - Container elk_kibana         Started                                                                            4.8s
 - Container elk-docker-jira-1  Started                                                                            2.9s
 - Container elk_logstash       Started                                                                            6.4s

3. Run the first batch of jira issues from Jira Service Management to Elasticsearch in `combined_bulk_update.py`

Line 201 jira_to_elastic.authenticate()
Line 202 jira_to_elastic.ingest_issues_to_elasticsearch(is_update = False)

4. Schedule to update the jira issues that are updated in Jira Service Management on Elasticsearch at every 60 seconds, and authenticate the credentials of Jira Service Management, and Elasticsearch at every 5 hours in `combined_bulk_update.py`

Feel free to change to any n type of time.

Line 205 # schedule.every().monday.at("09:00").do(jira_to_elastic.run, is_update = True)
Line 206 schedule.every(60).seconds.do(jira_to_elastic.ingest_issues_to_elasticsearch, is_update = True)
Line 207 schedule.every(5).hours.do(jira_to_elastic.authenticate) # idle is max 5 hours

5. Remove or comment the first two lines of codes in `combined_bulk_update.py`. (Optional)

The python file is located in logstash\pipeline folder.

import os
os.system("python /usr/share/logstash/pipeline/installation.py")

Code explaination: The first two lines call the script - installation.py which installs pip and python libraries on logstash container. I did not remove them as the logstash container might think it is not permanently installed as I am using docker containers.

csndylim/Jira_Issues_To_ELK_Stack_Via_Logstash_Python