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With Atlassian’s Data Center journey coming to an end in 2029, organizations still running Jira Data Center need to start planning their move to Jira Cloud well before the deadline.

In this video, we discuss why waiting until the last minute can make your migration significantly more difficult, especially when your environment includes customizations, integrations, apps, databases, automations, and complex Jira configurations.

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In this video, we break down why Jira implementations go wrong and what teams should consider before, during, and after implementing Jira.

From choosing the right implementation approach to measuring success and deciding between internal resources and experienced consultants, these are the areas that can make or break your Jira implementation.

If you're planning a Jira implementation, managing an existing Jira instance, or trying to fix a poorly configured Jira environment, this video will help you identify the problems before they become expensive.

In this update, we look at some of the latest developments shaping the technology landscape, including the growing role of artificial intelligence and how it is becoming increasingly integrated into our everyday workflows and the wider technology ecosystem. A quick look at the trends, developments and changes worth keeping an eye on.

The recent Tech Capsule session highlighted a critical shift in the technology landscape: the transition from AI experimentation to full-scale enterprise transformation. This move is reshaping collaboration, business operations, and infrastructure.

The latest Tech Capsule session highlighted a pivotal shift in the technology landscape, moving beyond theoretical AI experimentation toward deep, structural integration. Here is a breakdown of the key trends shaping our industry:

The recent Tech Capsule session highlighted major advancements reshaping the AI landscape, focusing on software-driven communication and critical hardware supply chain developments.

The rapid evolution of artificial intelligence is redefining organizational efficiency and global industrial priorities. Recent insights highlight three critical pillars shaping this landscape: the unification of fragmented data, the geopolitical intensity surrounding semiconductor manufacturing, and the urgent need for sustainable data center infrastructure.

In complex project environments, issues rarely exist in isolation. Bugs, stories, incidents, and tasks are frequently interconnected. A common challenge in Jira automation is accessing data from these connected issues rather than just the one triggering the rule. For instance, when a bug linked to a story is resolved, you might want to automatically comment on that story or update its status. Aaditya Kumar highlighted that using smart values and branch rules is the key to building these dynamic, cross-issue automation tools.

Efficient workflow automation is at the heart of modern issue management. In our latest session, we explored a powerful technique for Jira Cloud: capturing API responses to chain complex automation sequences.

One of the most frequent questions in the Atlassian community is: "Can Jira track and react to changes when an issue type is updated?" The answer is a resounding yes. By leveraging Jira Automation and Smart Values, administrators can capture the context of an issue transition—knowing both the previous and new issue types—to trigger dynamic updates, notifications, or administrative actions.

Real-World Applications

The ability to respond to issue type transitions is invaluable across various workflows: