Jira Introduction, Installation, Configuration, and DevOps Automation Practice
This article provides a comprehensive guide to Jira, covering its core features, step‑by‑step installation of the Data Center version, initial configuration, project and issue management, and detailed DevOps automation using Jenkins webhooks and GitLab integration.
1. Jira Overview – Jira is a project‑tracking tool that supports planning, sprint creation, task assignment, and progress monitoring across teams.
2. Installation & Deployment – The guide shows how to download the Data Center version, select the appropriate LTS release, choose deployment environment, and run the installer with custom options, set ports, and install Jira as a service.
2.3 Initialization – After installation, obtain an activation code, register an account, and complete the initial setup.
3. Jira Usage Practice – Demonstrates creating a project (linked to a GitLab group), adding modules, configuring webhooks, managing requirements and tasks, and releasing versions that correspond to GitLab branches.
4. Jira Automation Practice – Shows workflow diagrams, tool‑chain integration, and how to link requirements with code via Jenkins pipelines. Includes detailed steps for creating Jenkins jobs, configuring system‑level webhooks, and parsing webhook data.
scp atlassian-jira-software-8.20.1-x64.bin [email protected]:/opt/
# chmod +x atlassian-jira-software-8.20.1-x64.bin
# ./atlassian-jira-software-8.20.1-x64.bin
... (installation prompts and selections) ...The pipeline script reads webhook JSON, extracts project, issue, and component information, creates corresponding GitLab branches, and triggers actions based on the Jira event.
webhookData = readJSON text: "${webhookData}"
jiraEvent = webhookData.webhookEvent
... (branch creation logic) ...5. Verification – After creating a Jira issue and module, the Jenkins pipeline runs, creates GitLab branches, and the results are verified through screenshots of Jira, Jenkins, and GitLab.
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