Category: Canarys

  • The Sunset of Data Center, The Rise of Cloud: Navigating Atlassian’s Evolution

    The winds of change are blowing through the Atlassian ecosystem, and for many, it’s a bittersweet symphony. The end-of-life for Atlassian Server products has passed, and now, the focus shifts to Data Center. While Data Center offers robust solutions, the ultimate destination for many organizations is clear: the cloud. This transition isn’t just about moving…

  • Software Supply Chain Security: How GitLab Helps Enterprises Defend Against Modern Threats

    Introduction: The New Enterprise Attack Surface In today’s digital-first world, software is no longer built in isolation. Modern applications rely on open-source libraries, third-party APIs, cloud infrastructure, CI/CD pipelines, and automated deployment systems. While this accelerates innovation, it also dramatically expands the enterprise attack surface. Recent high-profile supply chain breaches have made one thing clear:attackers…

  • AI Meets DevSecOps: How GitLab Duo Is Redefining Software Delivery

    Software delivery is entering a new era. Automation transformed DevOps. Security embedded DevSecOps. Now, Artificial Intelligence is redefining how teams build, secure, and deliver software. Modern development teams face growing complexity, larger codebases, faster release cycles, increasing security threats, and rising expectations for quality. Traditional tooling alone is no longer enough. GitLab Duo brings AI-powered…

  • Prevent Downloading of Attached Files in Confluence and Jira

    Atlassian has released a security improvement that helps organizations protect their data in Confluence and Jira. Now, the data export rule also blocks users from downloading attached files. When this rule is active, users won’t see the Download option for attachments in file previews, attachment lists, or macros. This update applies automatically to any existing…

  • From Planning to Production: How GitLab Delivers End-to-End Visibility

    In modern enterprises, software delivery rarely fails due to lack of effort, it fails due to lack of visibility. When planning happens in one tool, code lives in another, pipelines run elsewhere, and security findings are tracked separately, leaders lose sight of progress, risks, and bottlenecks. GitLab solves this challenge by providing true end-to-end visibility…

  • Use One Workflow for Different Request Types in Jira Service Management

    In Jira Service Management (JSM), different request types follow different processes. Some requests need approval, and some do not. Instead of creating many workflows, JSM allows admins to use one workflow and control which steps are visible based on the request type. Why This Is Useful For example: If approval steps appear for all requests,…

  • Integrating GitHub Copilot with Azure Boards – A Step-by-Step, Practical Guide

    For a long time, teams using Azure DevOps have had a familiar setup:Azure Boards for planning and tracking, and GitHub for source code.While this combination works really well, one gap always existed — the execution part still needed a human developer to pick up a work item, understand it, write code, and raise a pull…

  • Atlassian Rovo vs Intelligence  Which AI should you pay

    If you’ve used Atlassian recently, you might have noticed two AI options: Atlassian Intelligence and Rovo Agents. Which one should you actually use? Let’s break it down. What’s the Difference? Atlassian Intelligence Examples: Search Work Items using Simple Language Get suggestions and helps draft content Rovo Agents Example: Intelligence helps you think. Rovo helps you…

  • From Jira Story to “Done”: How GitHub Copilot + Atlassian MCP Server Delivered an Entire Feature Autonomously 

    What if Jira stories didn’t just describe work—but triggered it?  This is a real-world walkthrough of how a Jira user story was fetched via Atlassian MCP Server, assigned to GitHub Copilot Agent Mode, fully implemented, validated, and closed. Why This Experiment Matters Most AI demos stop at:  But real software delivery lives across systems:  This experiment asked a…

  • Git Blame Hover – Getting Started

    Understanding who changed what and when in your codebase is crucial for effective development. Git Blame Hover transforms this essential task from a tedious command-line operation into an instant, informative experience right within VS Code What is Git Blame Hover? Git Blame Hover is an advanced VS Code extension that provides comprehensive git blame information…