Jira Optimization and Performance Improvement in On-Premises Hosted Application

Jira Implementation and Optimization in On-Premises Hosted Application

JIRA is a web-based project management and problem tracking system that can be modified to suit any sort of business process or workflow. So, this blog will explore the best practices and methods required to optimize Jira’s performance in on-premises hosted applications.

Introduction to Jira

Jira is a set of agile project management tools that enables collaboration across all teams, from concept to customer, allowing you to perform the best work of your life together. Jira has a number of solutions and deployment choices designed specifically for software, IT, business, operations, and other teams. Jira brings teams together for everything from agile software development and customer service to start-ups and corporations, helping them plan, allocate, track, report, and manage work.

Factors affecting Jira’s performance in on-premises hosting

When some Jira administrators consider how to expand Jira, they frequently consider the number of issues that may be stored in a single Jira instance. The number of problems, however, is not the only element that influences the size of a Jira instance. Jira’s performance in your organization may be influenced by a number of variables. The following are the different factors that influence Jira’s performance:

  • Size of the data
    • The number of issues, comments, and attachments that have been submitted.
    • The number of projects available.
    • The number of custom fields, issue kinds, and schemes available in a Jira project.
    • The number of users and groups who have signed up for Jira.
    • When utilizing Jira Software, the number of boards and the number of issues on each board.
    •  
  • Patterns of use
    • The number of people that are using Jira at the same time.
    • The number of operations running at the same time.
    • The number of email alerts received.
  • Configuration
    • The number of plugins (some of which may have their own memory requirements).
    • The number of times a workflow step is executed (such as Transitions and Post Functions).
    • The number of jobs and services that have been planned.
  • Environment for Deployment
    • The version of Jira that was used.
    • Jira runs on which server.
    • The database that was utilized, as well as the database’s connection.
    • The file system used in the operating system.
    • Configuration of the JVM

Guide to improve and optimize Jira’s performance

When it comes to detecting difficulties with JIRA apps, troubleshooting performance problems is not a simple task and maybe fairly challenging. Because there are so many varied settings for JIRA applications, such as different versions, plugins, networks, hardware setups, and other variables, fixing these problems becomes more complex. Before you intend to clean up your application, it’s usually a good idea to evaluate your organization’s policies and the amount of your data. Prepare an approach and execution plan, and keep a backup in a secure location. The best approach should be carried out in the following steps:

  1. Gathering User Information
  2. Planning & Preparing documents for unidentified gaps
  3. Executing optimization measures
  4. Scheduling Activities

With the execution of this optimization drag, you need to carry out the following measures in terms of the deployment environment:

  • Execution Stage
    1. Platform of Operation
      • Operating System – Jira’s speed may be improved by using the most recent fixes and operating system versions. This includes, but is not limited to, kernel, security, and Java upgrades.
    2. Database
      • Use the most recent stable database version.
      • Use a JDBC driver that is compatible.
      • Enable monitoring for queries that take a long time to complete.
      • Database optimization, which includes indexing and vacuuming.
  • Network Functioning (Load balancer, Firewall)
    • Only approved queries should be allowed via the firewall.
    • Block incoming internet traffic to the server, reducing application and network security concerns.
    • The load balancer should be set up such that certain requests are directed to specified nodes.
    • Make network traffic monitoring possible.
  • Hardware
    • Keep an eye on resource use.
    • Scale up/down resources depending on previous usage data analysis.
    • Optimize and harden hardware to get the most out of resources.
  • Application
    • Version
      • Review the release notes for the most recent Atlassian version and discuss problem fixes and new features with your team and stakeholders.
      • Maintain an up-to-date version to avoid breakouts or occasional application problems.
    • Customization
      • As the number of users increases, so will the size of the data, necessitating the scaling of hardware and databases.
      • Keep track of projects that are no longer in use or haven’t been updated.
      • Keep track of custom field usage and, if necessary, combine custom fields that serve the same function before deleting them. These may be accomplished through the use of user interfaces, databases, and workflows.
      • Delete any inactive users or groups.
      • Remove any processes, displays, security schemes, notifications, or schemas that are no longer in use. These may be accomplished with the help of Script (groovy with script runner), DB, and other tools.
      • Monitor filters from the database, and check whether any private filters are connected with any dashboards that are exclusively owned by the user. The usage of a large number of filters in an application degrades the program’s speed and user experience.
      • Restrict admin access to just authorized users.
    • Add-ons
      • The number of add-ons and how they are used has an impact on performance.
      • Examining vendor documentation and specifications for add-on usage will aid in resource optimization.
      • Use the most recent version of add-ons.
  • Scheduling Cleanup Stage

Jira allows you to schedule audits and clean-ups on a quarterly (basic clean-up), annual (advanced clean-up), and automation & optimization basis.

You should include unused elements/components in your quarterly cleanup, such as older problems, unused projects, and related issues-schemas, filters, custom fields, inactive users/groups, and so on. Delete, archive, and combine different components.

You should include unused workflows & schemas, notification & schemas, screens & schemas, and many more in the Yearly i.e., advanced clean-up.

For the sake of automation and optimization, Optimize the data management process by establishing and implementing procedures for managing, administering, reviewing, and approving new needs, as well as defining new procedures for auditing users, groups, and permissions. Jira API may be used for automation and remote management, such as monitoring permissions and inactive issues.

One strategy you may use is to first plan your cleanup, then conduct the cleanup of various portions, and then assess the results. You may choose a strategy based on your company’s policies/structure, use, and data size. Cleaning up the Jira application on a regular basis is not advised.

Conclusion

Jira Software is an agile project management application used by over 180,000 contemporary software teams to plan, track, and release their projects. It focuses on efficiency, continuous releases, and client feedback. With its on-premises implementation and optimization practices, you can improve its performance and ensure the better functioning of your application.

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Ronak Pandya has 14 years of experience in IT Infrastructure, Project Management, and motivational speaker in highpowered world of IT. He has expertise in CloudOps (AWS, Azure), DevOps (Jenkins, GitHub, Jira), Platform (Windows, Linux), Database (MySQL, MSSQL, PostgreSQL). He also spares his time with family and write poetries. He believes in "Think Differently".

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