At Bitergia we work with contributions and contributors to get metrics about them. Both meanings seem clear, however, both of them can be a little ambiguous, so in this blog post we are going to see what is a contribution and a contributor in the most famous free culture communities to see that sometimes the right tool gives you the right insight that you need.Continue reading “Contributors and Contributions: the right tool to have the right metrics”
The need to understand how open source software is built has never been greater. Today, 90% of IT leaders use open source for their organizations and value streams. Thus, they need to quickly identify risks and opportunities to succeed. This blog post is about two solutions that Bitergia offers: Bitergia Analytics and Cauldron Cloud.Continue reading “Bitergia Analytics vs. Cauldron Cloud”
Companies have a lot of valuable data waiting to be discovered. What companies usually measure is just the tip of the iceberg. Analytics is the way of discovering insights from that data. An area where analytics is often not used to its fullest potential is for understanding Software Development processes.Continue reading “Bitergia Analytics: 4 steps to implement Data Strategy”
King Arthur, or simply Arthur, is an open source tool designed to schedule Perceval executions at scale through distributed Redis queues. It also provides support to store the data obtained to an ElasticSearch database, thus giving the possibility to connect the results with analysis and/or visualizations tools, such as the Bitergia analytics dashboards.
Nowadays, more and more companies such as PayPal, Bosch or Autodesk are internally implementing inner source programs. InnerSource differs from classic open source development process by remaining within the view and control of a single organization and offers many advantages in terms of efficiency and effectiveness.
In previous posts, we talked about InnerSource characteristics and advantages such as InnerSourcing: the development model of the future.
Open source projects issues deal with community health and activity: how to get people to contribute or how to keep people engaged are common activities for community managers. Thus, key Performance Indicators (KPIs) should be set for each community based on those goals.
When looking back nowadays to the work done on diversity, I’ve realized that it has been quite a trip! My first approach to the topic was in an informal meeting with Nithya Ruff, currently at Comcast. She mentioned that the OpenStack Summit in Tokyo reached (as far as I remember!) 13% of women attending the Summit. And this was a great number if compared to previous summits as the percentage kept growing. But she also mentioned that they received a tweet asking about the current number of technical contributions. Then this is where we decided to have a look at that issue: have numbers, and try to produce some of them from a quantitative point of view.
Community managers spend their time in numerous community activities related with his/her main role: to get people to talk and contribute, react to the community managed, keep people engaged, etc. Key Performance Indicators (KPIs) should be set for each community based on its goals. It’s part of the job to elaborate reports with multiple metrics on community health for example. But, measuring should be an effective task.
Keeping this in mind, I’d like to share with you 5 reasons about why community managers or any other professional related with software development should have a dashboard that provides all the data about the community or project that she/he manages:
In Bitergia we have a list of happy customers using the Metrics Grimoire toolset (fork them at GitHub!) to produce metrics about their communities. Tracking tech communities is not that simple and this needs of some infrastructure. And one of the main issues usually consists of aggregating all of the information.
While we’re developing and testing our new toolchain for producing Kibana-based software development dashboards, we’re producing a good collection of them, with real data from real projects.
Continue reading “Check our Kibana-based development dashboards!”