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Open Source Friday with Grafana Labs!

Technology
26 Aug 20243 min summaryFrom GitHub
Open Source Friday with Grafana Labs!
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Grafana and its Open-Source Nature

  • Kyle Cunningham is a Senior Engineer at Grafana Labs, the company that builds the open-source observability platform Grafana. 7m6s
  • Grafana was created approximately 10 years prior to the video by founder Torkel Ödegaard and has been open source since its inception. 7m30s
  • Grafana Labs has always been an open-source organization. 7m30s
  • Grafana Labs, with approximately 1,500 employees, primarily focuses on open source code development, with roughly half of the workforce comprising engineers (around 700-800). 7m50s
  • Grafana is very open to contributions and encourages people to check out their issues on GitHub, especially those tagged with "good first issue". 40m28s
  • Grafana has received contributions from many individuals and organizations, not just Grafana Labs. 41m20s

Grafana's Capabilities and Features

  • Grafana, an observability platform, enables users to connect to and visualize various data sources, facilitating data correlation, monitoring, and analysis across diverse applications, from infrastructure and aerospace to bird watching. 8m42s
  • Beyond its core features, Grafana offers lesser-known functionalities, including built-in incident response tools with Slack integration and robust data transformation capabilities for in-depth analysis and modeling. 10m21s
  • Grafana has a feature called annotation queries that allows users to overlay annotations from different data sources on top of time-series data, such as CPU usage, to correlate events and understand the impact of code deployments. 42m21s
  • Grafana can integrate with various tools, including those not related to monitoring, such as DataDog. 48m43s
  • Grafana can be gradually adopted, allowing users to start with individual components or utilize the entire stack for logging, traces, metrics, and data visualization. 49m16s
  • Grafana scales to accommodate organizations with varying needs, from those with a few dashboards to those with hundreds of thousands. 50m3s

Grafana and GitHub Integration

  • Grafana dashboards can be used to monitor code and activity on Github. 14m44s
  • Grafana dashboards can display data from Github such as the number of pull requests, reviews, and open pull requests in a given time frame. 15m46s
  • Grafana dashboards can be customized to show data for specific users and timeframes by using variables within the query. 19m22s
  • Grafana dashboards can be used to display data from GitHub using the GitHub GraphQL API. 20m53s
  • The GitHub dashboard configuration is available as a simple-to-add plugin and offers dynamic links to pull requests. 21m20s
  • Grafana dashboards can be used to trigger alerts based on thresholds set on queries, such as the number of open pull requests. 25m10s
  • Grafana Cloud can connect to a repository or organization using a personal access token, and no coding is required. 32m21s

Using and Learning Grafana

  • The speaker changed the query to show closed issues instead of open issues. 27m1s
  • The speaker used a transformation to format the time and group the data by month and year. 29m13s
  • Grafana has in-depth documentation, including videos, to help users learn how to set up and use the platform's features, such as visualizations and transformations. 34m9s
  • Users are encouraged to download Grafana, utilize the GitHub data source, explore their organization's code, and contribute to the open-source ecosystem by starring the Grafana repository, submitting issues, and taking on existing ones. 57m58s

Grafana's User Base and Data Sources

  • Grafana is used by a wide range of individuals, including those in technical roles like SREs and data engineers, as well as those in non-technical roles like business analysts and management. 36m17s
  • Grafana can connect to a variety of data sources, including time series databases like Prometheus and Graphite, SQL databases like PostgreSQL and MySQL, and other sources like GitHub. 38m53s

CI/CD Visualization with Grafana

  • Tempo was used with Drone to set up this CI/CD visualization. 53m34s
  • Setting up the CI/CD visualization is straightforward and involves adding correlations, selecting IDs, using variables, choosing a data source, searching tags, and saving the correlation. 55m22s
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