Oobeya
Oobeya is an engineering intelligence platform that helps software development teams accelerate their value delivery performance.
Oobeya works with code repositories, issue tracking, testing, application performance monitoring (APM), and incident management tools to measure engineering metrics, like cycle time, lead time, sprint planning accuracy, pull request metrics, and value stream metrics (VSM), and DevOps DORA metrics.
Oobeya's goal is to help software engineering teams to make a shift from an intuition-driven approach to a data-driven approach by plugging into the SDLC toolset. Oobeya connects to Git repositories like GitHub, GitLab, Bitbucket, Azure DevOps, issue tracking systems like Jira and Azure Boards, and CI/CD platforms like Github Actions, GitLab CI, Azure Pipelines, and Jenkins.
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Faros AI
Faros AI connects the dots between your engineering data sources – ticketing, source control, CI/CD, and more – giving unprecedented visibility and insight into your engineering processes. Be amazed at what you can achieve with Faros AI. With Faros AI, engineering leaders can scale their operations in a more data-informed way — using data to identify bottlenecks, measure progress towards organizational goals, better support teams with the right resources, and accurately assess the impact of interventions over time. DORA Metrics come standard in Faros AI, and the platform is extensible to allow organizations to build their own custom dashboards and metrics so they can get deep insights into their engineering operations and take intelligent action in a data-driven manner. Leading organizations including Box, Coursera, GoFundMe, Astronomer, Salesforce, etc. trust Faros AI as their engops platform of choice.
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lakeFS
lakeFS enables you to manage your data lake the way you manage your code. Run parallel pipelines for experimentation and CI/CD for your data. Simplifying the lives of engineers, data scientists and analysts who are transforming the world with data. lakeFS is an open source platform that delivers resilience and manageability to object-storage based data lakes. With lakeFS you can build repeatable, atomic and versioned data lake operations, from complex ETL jobs to data science and analytics. lakeFS supports AWS S3, Azure Blob Storage and Google Cloud Storage (GCS) as its underlying storage service. It is API compatible with S3 and works seamlessly with all modern data frameworks such as Spark, Hive, AWS Athena, Presto, etc. lakeFS provides a Git-like branching and committing model that scales to exabytes of data by utilizing S3, GCS, or Azure Blob for storage.
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CDviz
CDviz is an open-source CI/CD observability platform built on CDEvents, the CD Foundation-backed standard for software delivery. It collects events from GitHub, GitLab, ArgoCD, Kubernetes, and more via webhooks and native integrations, normalizes them to the open CDEvents standard, and stores them in PostgreSQL with TimescaleDB.
Any reporting tool, Grafana dashboard, internal developer platform, or AI agent can query the data directly via SQL. Out-of-the-box Grafana dashboards cover DORA metrics, deployment timelines, artifact tracking, pipeline and test execution performance, and incident lifecycle.
Unlike polling-based tools, CDviz uses a push event-driven model — enabling both real-time observability and automated workflow triggers from the same event stream. Your data stays on your infrastructure, with no vendor lock-in.
Licensed under Apache License v2. Free to self-host. An enterprise plan with professional support is currently free in beta.
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