Atlassian expands product portfolio with new coding and data analytics tools

Atlassian expands product portfolio with new coding and data analytics tools

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Atlassian Corp. PLC today introduced new products designed to help companies more efficiently manage application development projects and other business initiatives. 

Publicly traded Atlassian is a major provider of developer tools. The company’s products are used by software teams to store application code, fix bugs and carry out related tasks. Some of Atlassian’s products, such as its Trello project management application, are also widely used outside the developer ecosystem.


Enterprise applications often comprise upwards of dozens of components, some of which are created in-house by a company’s developers while others are provided by suppliers or sourced from the open-source ecosystem. The first new product that Atlassian introduced today, called Compass, is aimed at helping software teams more easily manage an application’s components.

Compass displays all the modules that make up a workload in a centralized list. Developers can click the entry for a module to bring up its source code, as well as access documentation that explains how the code works.

According to Atlassian, Compass is capable of highlighting how an application’s components interact. The tool points out cases where a technical issue in one module may lead a different component to malfunction as well.

This information is useful for troubleshooting purposes. A developer troubleshooting an application module could consult Compass to determine if the issue may be caused by a different component of the same application.

Development teams can optionally configure Compass to scan their code for technical issues. The tool is capable of automatically checking an application’s components for cybersecurity vulnerabilities, regulatory compliance issues and other flaws. Software teams can further customize Compass by configuring its interface to display data from external sources, for example information about application performance collected by a third party monitoring tool.


Though it’s best known as a provider of developer tooling, Atlassian also has a significant installed base of business users. The company’s Trello project management application, for example, is used not only by developers but also by sales, marketing and customer support departments. 

Atlassian expanded its collection of features for business users today with the introduction of a tool called Atlas. A company’s executives can use Atlas to share information about business projects with workers. The tool makes it possible to create a webpage that outlines a project’s business goals, contains a description of the tasks involved and provides access to relevant files such as sales forecasts. 

Data analytics

Compass and Atlas debuted today alongside two data analytics tools designed to help companies extract insights from information they store in Atlassian’s applications. Atlassian’s Jira Software application, for example, is used by developers to share information about outstanding software bugs that need to be resolved. This data can be analyzed to find ways of improving a company’s development workflow.

The first new analytics tool that made its debut today is Atlassian Data Lake. It enables companies to export information from Atlassian products to external business intelligence software for analysis. On launch, Atlassian Data Lake provides access to information from Jira Software and Jira Service Management, an application that helps companies process help desk requests.

Companies can also analyze their data using Atlassian Analytics, another newly introduced tool. The tool provides a collection of pre-packaged dashboards that can be used to track key metrics about a software development initiative, such as how often new features are released. Atlassian Analytics also provides the ability to create custom dashboards using a low-code editor or by writing SQL code. 

To support more advanced use cases, Atlassian Analytics provides the ability to mix in data from external sources. A company could, for example, combine information on how often features are released with revenue growth statistics retrieved from its data warehouse. Business users could then run analyses to determine how the release of new features influences revenue growth.

Photo: Atlassian

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