January 8, 2019 By Ming Gong 2 min read

Today, we’re announcing the general availability of Team Dynamics in IBM DevOps Insights.

Complex systems require developers to work together and problem-solve closely. To achieve this goal, developers must be able to easily read, understand, edit, or rewrite each others’ code.

Today, we’re announcing the general availability of Team Dynamics in DevOps Insights. Team Dynamics provides qualitative answers to software delivery team leaders about how their teams are performing. If you’re a lead developer, you probably have a good idea about who are your strongest coders and who’s great at debugging. You may even have a feeling about who’d be a potentially strong mentor for those new to your team. You don’t have to rely on intuition, however, because there are already lots of key social cues buried in your code repository.

Team Dynamics employs social coding analysis to identify the level of interaction between team members so that the team can fix unproductive practices. You will see how your team interacts based on real data, not guesswork.

IBM DevOps Insights

Earlier this year, we announced the general availability of IBM DevOps Insights, allowing software delivery teams to aggregate data from a variety of testing and code scanning tools to provide a comprehensive dashboard view of the risk profile of projects. Now, in addition to providing a single place for teams to access data about their projects,  IBM DevOps Insights Team Dynamics can help answer questions like:

  • Are team members comfortable changing each others’ code?

  • Are development responsibilities distributed equitably?

  • Who would be a good candidate mentor? Who could benefit from mentoring?

  • Are there signs that the project is at risk of being abandoned in the future?

With the help of the Social Coding graph in IBM Cloud DevOps Insights Team Dynamics, it’s easy to assess the dynamics of your software engineering team.

Get Started Today

Here is what you need to know:

  • As of December 21, 2018, IBM Cloud DevOps Insights Team Dynamics is generally available, with service plans in the US-South, United Kingdom, and Germany regions.

  • To get started with DevOps Insights, including Team Dynamics, you can select IBM Cloud DevOps Insights from the IBM Cloud catalog and choose a Lite or Paid plan based on your usage needs. You will also need to enable Insights to mine repos within your Toolchain.

  • On the Lite Plan, the first three Applications and first three repositories are free, but insights are limited to one month of historical data, and Lite plan services are deleted after 30 days of inactivity.

  • Standard and Enterprise plans are tiered based on the number of Applications per month. Standard plans come with six months of historical data and Enterprise plans come with twelve months of historical data.

Get Started with our Tutorials

More from

Making HTTPS redirects easy with IBM NS1 Connect

3 min read - HTTPS is now the standard for application and website traffic on the internet. Over 85% of websites now use HTTPS by default—it’s to the point where a standard HTTP request now seems suspicious.  This is great for the security of the internet, but it’s a huge pain for the website and application teams that are managing HTTPS records. It was easy to move HTTP records around with a simple URL redirect. HTTPS redirects, on the other hand, require changing the URL…

Announcing Dizzion Desktop as a Service for IBM Virtual Private Cloud (VPC)

2 min read - For more than four years, Dizzion and IBM Cloud® have strategically partnered to deliver incredible digital workspace experiences to our clients. We are excited to announce that Dizzion has expanded their Desktop as a Service (DaaS) offering to now support IBM Cloud Virtual Private Cloud (VPC). Powered by Frame, Dizzion’s cloud-native DaaS platform, clients can now deploy their Windows and Linux® virtual desktops and applications on IBM Cloud VPC and enjoy fast, dynamic, infrastructure provisioning and a true consumption-based model.…

Best practices for augmenting human intelligence with AI

2 min read - Artificial intelligence (AI) should be designed to include and balance human oversight, agency and accountability over decisions across the AI lifecycle. IBM’s first Principle for Trust and Transparency states that the purpose of AI is to augment human intelligence. Augmented human intelligence means that the use of AI enhances human intelligence, rather than operating independently of, or replacing it. All of this implies that AI systems are not to be treated as human beings, but rather viewed as support mechanisms…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters