Today, many CI services provide the ability to build applications, docker images, and many other things. Since some of these builds can take a long time to build, you may want to analyze your build data, average build time, success rate, etc. Unfortunately, few services provide a dashboard for analyzing build data. As far as I know Azure Pipeline provides a great feature called Pipeline reports, but it only shows data about builds that have been run in Azure Pipeline.

CIAnalyzer collects build data using each service API, then normalizes the data format and exports it. So you can create a dashboard that allows you to analyze build data across multiple CI services using your favorite BI tools.

The Open PageRank initiative was created to bring back Page Rank metrics so that different domains could easily be compared. We do this using Open Source data provided by Common Crawl and Common Search.

The common crawl corpus contains petabytes of data that has been collected over the last 7 years. The July 2017 crawl contains close to 3 billion web pages. While these numbers are not as large the number of pages crawled by any of the top backlink providers, the data is available for anyone for free. We, therefore, decided to use this data to make Page Rank data available to anyone for free forever.

SigNoz is an opensource observability platform. SigNoz uses distributed tracing to gain visibility into your systems and powers data using Kafka (to handle high ingestion rate and backpressure) and Apache Druid (Apache Druid is a high performance real-time analytics database), both proven in industry to handle scale.

Built using ReactTS and Go.

A repository for monitoring attack vectors mentioned in the billion-dollar disinformation campaign to reelect the president in 2020. Includes some Python code for analyzing the data.

Graphs for dump1090 (based on dump1090-tools by mutability). Message rate, aircraft seen, tracks seen, range, signal strength... front end to rrdtool and collectd.