Free, Libre, and Open Source Software: Grafana in Docker, Deft, and Analysis of Communities
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Make It Observable: Running Grafana in Docker
To build observability into the infrastructure, you can use Grafana, an open-source visualization and analytics platform that aids in exploring observability data, such as metrics and logs. You can run Grafana in Docker containers. This is particularly beneficial in creating an observable, portable testing environment and can be implemented in the Kubernetes infrastructure with various customizations available to the Grafana Docker container.
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Open files with Deft in read only mode
Deft for Emacs is an Emacs mode for quickly browsing, filtering, and editing directories of plain text notes.
It was designed for increased productivity when writing and taking notes by making it fast and simple to find the right file at the right time and by automating many of the usual tasks such as creating new files and saving files.
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A data scientist's guide to open source community analysis
In the golden age of data analysis, open source communities are not exempt from the frenzy around getting some big, fancy numbers onto presentation slides. Such information can bring even more value if you master the art of generating a well-analyzed question with proper execution.
You might expect me, a data scientist, to tell you that data analysis and automation will inform your community decisions. It's actually the opposite. Use data analysis to build on your existing open source community knowledge, incorporate others, and uncover potential biases and perspectives not considered. You might be an expert at implementing community events, while your colleague is a wiz at all things code. As each of you develops visualizations within the context of your own knowledge, you both can benefit from that information.
Let's have a moment of realness. Everyone has a thousand and one things to keep up with, and it feels like there is never enough time in a day to do so. If getting an answer about your community takes hours, you won't do it regularly (or ever). Spending the time to create a fully developed visualization makes it feasible to keep up with different aspects of the communities you care about.
With the ever-increasing pressure of being "data-driven," the treasure trove of information around open source communities can be a blessing and a curse. Using the methodology below, I will show you how to pick the needle out of the data haystack.