Apache DevLake ingests, analyzes, and visualizes fragmented DevOps data to provide insights for engineering excellence.
Apache DevLake ingests, analyzes, and visualizes fragmented DevOps data to provide insights for engineering excellence.
Apache DevLake is an open-source DevOps data analytics platform designed to unify and analyze data from various DevOps tools. It provides out-of-the-box dashboards for metrics like DORA, community growth, and engineering throughput. By collecting data from sources such as Jira, GitHub, GitLab, and Jenkins, DevLake offers a comprehensive view of the software development lifecycle. Its flexible and extensible architecture enables users to adapt the platform to support new data sources, metrics, and dashboards, making it suitable for teams of all sizes aiming to improve their engineering processes and gain data-driven insights.
Apache DevLake ingests, analyzes, and visualizes fragmented DevOps data to provide insights for engineering excellence.
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Apache DevLake is an open-source DevOps data analytics platform designed to unify and analyze data from various DevOps tools.
Explore all tools that specialize in ingest data from multiple devops tools. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
Explore all tools that specialize in analyze engineering throughput. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
Explore all tools that specialize in visualize dora metrics. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
Explore all tools that specialize in track community growth. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
Explore all tools that specialize in improve sprint planning. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
Explore all tools that specialize in identify bottlenecks in development workflow. This domain focus ensures Apache DevLake delivers optimized results for this specific requirement.
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DevLake provides pre-built dashboards and metrics for tracking DORA (Deployment Frequency, Lead Time for Changes, Mean Time to Recovery, and Change Failure Rate) metrics, calculated from data ingested from various DevOps tools.
Users can define their own metrics using SQL queries, allowing them to tailor the analysis to their specific needs and business goals.
DevLake supports integration with a wide range of DevOps tools, including Jira, GitHub, GitLab, BitBucket, Jenkins, and more, enabling a holistic view of the software development lifecycle.
DevLake offers insights into community participation, contribution patterns, and collaboration within open-source projects, using data from platforms like GitHub and Gitee.
DevLake's architecture is designed to be extensible, allowing users to add new data sources, metrics, and dashboards as needed, adapting to evolving requirements.
Install DevLake using Docker Compose, Kubernetes, Helm, or Temporal.
Access the Config UI to configure data sources.
Select the data sources you want to connect (e.g., Jira, GitHub).
Configure the data transformation settings.
Set up a data synchronization schedule.
View pre-built dashboards for various use cases.
Customize metrics or dashboards using SQL.
All Set
Ready to go
Verified feedback from other users.
“Apache DevLake is a platform designed to provide insights into engineering excellence through data analysis and visualization of DevOps data. It aims to help teams improve their development processes.”
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