The OpenInfra Summit was back and we went to Berlin, Germany! We had amazing experiences with keynotes and sessions from users like Volvo, Adobe, Bloomberg, China Mobile, and more. In this blog, we want to recap our participation in the event as Official Partners, a walk through the different activities, and the sessions on the Community Metrics Corner.
Continue reading “OpenInfra Summit 22: our event summary”
We’re glad to announce our new partnership with the OpenInfra Foundation! OpenInfra and Bitergia agree to partner in providing metrics to OpenInfra projects. In this blog post, we want to share with you the details about the partnership and the OpenInfra Summit 2022!
Continue reading “Announcing our new Partnership with OpenInfra: launching at the OpenInfra Summit ‘22”
As we know, Elastic no longer releases new versions of Elasticsearch and Kibana under an open source license. One of Bitergia’s core values is to always maintain our work in an open source environment. For these reasons, we are migrating to OpenSearch and now have the first release ready and deployed with the first customers.
Continue reading “The first release of Bitergia Analytics Platform based on OpenSearch.”
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, and they need to quickly identify risks and opportunities to succeed and to reach the objectives they have. In this blog, we want to highlight some cases about the experiences of our customers on how Bitergia Analytics services works for them in their daily tasks and to reach these objectives.
Continue reading “How Bitergia Analytics can work with your objectives: analyzing use cases.”
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.
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”
A new version of GrimoireLab is out. This post shows the major improvements from the latest GrimoireLab toolkit releases.
GrimoireLab is a 100% open source project maintained mainly by Bitergia developers and part of CHAOSS Software projects, one of The Linux Foundation projects. GrimoireLab’s main goal is to provide a software development analytics toolkit to analyze software development projects.
In our previous post about Cauldron, we introduced Cauldron as a SaaS solution for project managers, analysts, and developers to analyze the community and processes of open source software development projects.
This post introduces new features of Cauldron and outlines our plan for the future. These additions are built on top of GrimoireLab and OpenDistro for Elasticsearch.
Continue reading “Analyze community and software development with Cauldron”
Years ago, we developed a software development communities and processes analytics PaaS PoC based in GrimoireLab technologies. We called it Cauldron, and recently we have started working on a big update, that includes many new features, including Open Distro for Elascticsearch! Let’s see what’s coming…
Continue reading “Improving Cauldron: now with Open Distro for Elasticsearch”
We have been working for GitLab for some time, analyzing activity, community and performance in several of their projects like GitLab CE and GitLab EE. And of the questions they have asked has been: how many merge requests do we have open each week?. This workload insight helps to manage the effort spent in code review.
Continue reading “How does GitLab’s Merge Request workload evolve?”
