Categories: Agile MethodologyNews

Atlassian Confluence-JIRA Integration to Strengthen Agile Portfolio

Earlier this week, Enterprise software toolmaker Atlassian announced tighter integration between its JIRA issue tracking application and its Confluence team collaboration platform. With this move, they have further strengthened their agile portfolio. Following is the list of software in their agile portfolio:

  • Confluence: Confluence pages are used to maintain requirements (stories), technical specs, design guidelines, etc. Confluence pages are linked with JIRA thus linking requirements/technical specs to stories.
  • JIRA: JIRA is used to maintain epics/stories and issues. There are several blueprints in JIRA created to manage status reports, retrospective meetings etc. The new JIRA Report Blueprint allows development teams to create an ad-hoc status report or a change log in Confluence. The new Retrospective Blueprint gives scrum masters, for example, an easy way to kick-off a retrospective in Confluence with one click in the JIRA Agile add-on.
  • Bamboo: Bamboo is used as continuous integration server (CIS).
  • Distributed Version Control System (DVCS): Following are different tools used as DVCS:
    • Stash: Stash is an an on-premise distributed version control systems (DVCSs) for enterprise teams.
    • Bitbucket: Bitbucket is a cloud-based DVCS hosting service.
    • Sourcetree: Sourcetree is a desktop client for the Git and Mercurial DVCSs.
Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. For latest updates and blogs, follow us on Twitter. I would love to connect with you on Linkedin. Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking. Check out my other blog, Revive-n-Thrive.com

Recent Posts

Feature Selection vs Feature Extraction: Machine Learning

Last updated: 2nd May, 2024 The success of machine learning models often depends on the…

18 hours ago

Model Selection by Evaluating Bias & Variance: Example

When working on a machine learning project, one of the key challenges faced by data…

24 hours ago

Bias-Variance Trade-off in Machine Learning: Examples

Last updated: 1st May, 2024 The bias-variance trade-off is a fundamental concept in machine learning…

2 days ago

Mean Squared Error vs Cross Entropy Loss Function

Last updated: 1st May, 2024 As a data scientist, understanding the nuances of various cost…

2 days ago

Cross Entropy Loss Explained with Python Examples

Last updated: 1st May, 2024 In this post, you will learn the concepts related to…

2 days ago

Logistic Regression in Machine Learning: Python Example

Last updated: 26th April, 2024 In this blog post, we will discuss the logistic regression…

7 days ago