Atlassian is transforming Confluence into an all-in-one workspace by introducing AI-powered databases. This shift aims to reduce the need for constant tool switching by consolidating data management directly within the Atlassian ecosystem, positioning it to compete with specialized spreadsheet and project management tools.
Managing complex Jira projects often leads to a debate: should you use workflow post functions or automation rules? This post explores how to choose the right path for a cleaner, more maintainable project setup.
In the realm of Jira Cloud, automation is often synonymous with event-driven triggers—actions that fire automatically when an issue is created, updated, or transitioned. However, manual triggers offer a powerful alternative for on-demand execution. Unlike their event-driven counterparts, manual triggers allow users to initiate specific automation rules with a single click.
Keeping related Jira issues updated can be a tedious, manual process. If you've ever found yourself copy-pasting comments across multiple linked bugs or tickets, you know how prone to error and time-consuming that can be. In this guide, we'll explore how to set up automated comment synchronization in Jira Cloud, ensuring that updates flow seamlessly between your work items.
The latest Tech Capsule session brought together updates on organizational AI infrastructure, evolving AI regulations, and the future of autonomous vehicles. Here is a breakdown of the key developments discussed.
In our recent Tech Capsule session, we analyzed three critical developments reshaping the technology sector—ranging from product management workflows to global AI geopolitics and supply chain vulnerabilities.
In the rapidly evolving technological landscape, innovation is shifting from convenience-oriented gadgets to foundational investments in security and global infrastructure.
Automation has become one of the most powerful features in Jira Cloud, allowing teams to eliminate repetitive tasks, improve workflow efficiency, and maintain consistency across projects. However, the automation experience we use today didn't always exist.
If you've been using Jira for only a few years, you've probably never encountered Legacy Automation. But understanding its history provides valuable insight into how Jira Automation has evolved into the feature-rich platform we rely on today.
In the landscape of project management, efficiency is driven by intelligent automation. Traditional Jira rules often perform "blind" actions—executing the same task regardless of the context. To build truly responsive systems, administrators must leverage If/Else logic, allowing Jira to evaluate criteria and make decisions dynamically.
Managing Jira automation rules often feels like a manual, repetitive chore, especially when you are working across multiple instances. Whether you are migrating configurations between development and production environments or simply looking to version control your workflows, the ability to export and import Jira automation rules as JSON files is a game-changer.
In this post, we’ll walk through how to leverage this feature to save time, reduce human error, and improve administrative transparency.
Ravi Sagar
ravi at sparxsys dot com
Author of "Mastering JIRA 7" book. Loves #Jira and #Drupal. #Blogger, #ProblemSolver, #Atlassian #Consultant and #Technologist @ravisagar on twitter
Want my help? raise a support request for me.
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