Project Management tools for DevOps | What a DevOps Engineer does in the first week

Agile in DevOps
Agile is a methodology based on iterative development, where requirements and solutions evolve through the collaboration of cross-functional teams.
Core Concepts:
Sprints
Backlogs
Daily stand-ups
Continuous feedback
โ DevOps extends Agile by bringing in Continuous Integration, Delivery, Monitoring, and Automation.
๐ Jira โ Agile Project Management for DevOps
Jira is Atlassianโs flagship tool for managing Agile projects.
Key Features:
Sprint planning and tracking
Kanban/Scrum boards
Story points and burndown charts
Integration with CI/CD tools like Jenkins, Bitbucket, and GitHub
๐ In DevOps, Jira helps track code changes, deployments, and incidents back to specific user stories or tasks.
๐ง Confluence โ Knowledge Management & Collaboration
Confluence is a documentation and collaboration tool, often used with Jira.
Use Cases:
Project documentation
Runbooks and incident reports
Team retrospectives
Agile planning & knowledge sharing
๐ก Helps ensure tribal knowledge doesn't get lost and all team members are aligned.
๐ SharePoint โ Document Management & Internal Workflows
Microsoft SharePoint is used in enterprises for document management and team collaboration.
Why it matters in DevOps:
Stores process documentation, compliance reports
Supports automated approval workflows
Integrates with Microsoft Teams and Office365
๐ Often used in regulated industries for controlled document collaboration and audit trails.
๐งพ ServiceNow โ IT Service Management (ITSM)
ServiceNow bridges the gap between IT operations and DevOps.
DevOps-related use cases:
Incident and Change Management
Automated Change Approval Policies (DevOps Change Velocity)
Integration with Jenkins, GitHub, Azure DevOps
๐ Connects code deployments to change records automatically, aiding governance and traceability.
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Written by

M Chidrup
M Chidrup
Certified Azure Cloud Enthusiast and Full Stack Developer with a strong foundation in building secure, scalable cloud-native applications. Passionate about integrating AI and automation in DevOps pipelines and exploring intelligent cloud systems. I specialize in React, Node.js, Azure, Kubernetes, and DevSecOps, and I love solving real-world problems through code, collaboration, and continuous learning.