Table of Contents
In many organizations, the process of creating and updating JIRA tickets based on data from the EIM system is manual, time-consuming, and prone to errors. This disjointed process can lead to delays in task management, miscommunication, and inefficient tracking of issues and progress. The need for a more automated and seamless integration between EIM systems and JIRA is critical to overcoming these challenges and improving overall productivity
• Enhance Accuracy and Consistency: Ensure that tickets are created with accurate and consistent information, reducing the chances of human error that can occur during manual entry.
• Integration with Monitoring Tools: Seamlessly integrate with existing monitoring and alerting tools to trigger JIRA ticket creation based on predefined thresholds or events, ensuring that issues are captured in real-time.
• Customizable Workflow Automation: Implement customizable workflows in JIRA that automatically assign, prioritize, and transition tickets based on the type of data entry or detected issue.
• Real-Time Notifications and Alerts: Set up real-time notifications to relevant team members upon ticket creation, ensuring prompt attention and response to critical issues.
• Comprehensive Reporting and Analytics: Develop detailed reporting and analytics features to track the performance of the automated ticketing system, identify trends, and optimize the process continuously.
ReactJs
NodeJs
ExpressJs
Jenkins
Python
MongoDB
- python
- NodeJs
- Trial JIRA DOMAIN
- MongoDB ATLAS ACCOUNT
- Jenkins Installed on System
- Postman API Testing : https://documenter.getpostman.com/view/23821977/2sAXjJ6Z3d
- Backend Hosted API : https://eim-and-jira-sim-back.vercel.app/
- Frontend Hosterd Server : https://eim-and-jira-sim-front.vercel.app/