Reduce hidden review and release friction
Surface where waiting time, approval overhead, oversized pull requests, or unstable delivery loops are slowing teams down.
For DevOps & Platform Teams
Find the friction between commit and production
Connect repositories, CI/CD, work tracking, and code quality. Understand where delivery slows down and give teams the context to improve it.
What to look at
Follow delivery across your toolchain
Read pipeline performance alongside the review, quality, and workflow signals that shape releases.
- Repositories and pull request flow
- CI/CD pipeline health and release behavior
- Code quality and security signals from analysis platforms
- DORA Metrics measurement solution
- AI-assisted development patterns that affect review and delivery flow
- Too many systems, no shared operating view
- Git, pipelines, issue trackers, code quality tools, and identity systems each explain part of delivery, but not the full picture.
- Release friction hides between handoffs
- The bottleneck is rarely just one step. Review queues, approval loops, unstable pipelines, and waiting time often compound quietly.
- Metrics without context create debate
- DORA changes, review delays, and throughput shifts need surrounding workflow context or teams spend more time explaining than improving.
From signals to decisions
Turn delivery signals into platform improvements
Find recurring bottlenecks, investigate changes in DORA metrics, and plan a rollout that fits your infrastructure.
Give metrics a more trusted foundation
Connect throughput, quality, and deployment patterns with the underlying system behavior teams need to act on.
Support enterprise rollout and governance
Fit Oobeya into environments with SSO, RBAC, on-premise deployment, and security review expectations.
Integration coverage
Connect the tools behind your delivery process
Explore supported systems by category, then review the integration details for your stack.
Source Control, VCS, and CI/CD
Connect source control, builds, and deployments.
Azure DevOps (opens in a new tab)- Azure DevOps Pipelines
Bitbucket- Bitbucket Pipelines
CloudBees (opens in a new tab)
Gerrit (opens in a new tab)
Gitea
GitHub (opens in a new tab)- GitHub Enterprise
GitHub Actions
GitLab (opens in a new tab)- GitLab CI/CD
Jenkins (opens in a new tab)
Octopus Deploy (opens in a new tab)
TeamCity (opens in a new tab)
AI Coding & Attribution
Measure AI-assisted development and code attribution impact.
Blamely.ai
Claude
Cursor
Git AI
GitHub Copilot
Project Management & Documentation
Bring work tracking and documentation health into the same operating view.
Quality, Security, Testing
See quality, security, and test signals in one view.
Monitoring / APM
Track errors, incidents, and reliability signals.
SSO & Identity
Support SSO and user provisioning.
Customer perspectives
Delivery visibility across engineering tools
“What stands out the most with Oobeya is its depth of analysis and insights. It provides automated recommendations based on our team's activity, and the integration with tools like Azure DevOps and SonarQube makes the transition seamless.”
TEB (BNP Paribas) · Banking
“Oobeya provides a comprehensive overview of our SDLC. We can see a wide range of metrics crucial for engineering efficiency by collecting data from different sources like version control, issue management, and deployment tools.”
Invicti · Cybersecurity
“According to our POC evaluations around IT productivity measurement, Oobeya was the tool that best met our expectations. Its integration flexibility, Symptoms capability, and DORA metrics gave us visibility across nearly 4,000 developers and helped us clearly see inefficient points, including outsourced projects.”
Turkcell · Telecommunications
Common questions
DevOps and platform questions
Need to discuss your team or technical setup? Contact us.
How does Oobeya help DevOps and platform teams?
Connect Git, CI/CD, work tracking, and quality signals to investigate review delays, release friction, and recurring bottlenecks.
Can we connect multiple engineering tools?
Yes. Combine signals from source control, project management, CI/CD, code quality, and other supported SDLC tools.
Does Oobeya measure DORA metrics?
Yes. Review DORA metrics with delivery context. Production-aware metrics let you distinguish production pipelines from non-production deployments.
How does this support platform engineering?
Use delivery and workflow trends to identify friction across the teams and engineering systems your platform supports.
Which bottlenecks can we investigate?
Review queues, approval delays, oversized pull requests, unstable delivery loops, and recurring workflow symptoms.
Can we evaluate AI-assisted delivery?
Yes. Review AI coding assistant impact alongside review and quality signals. AI attribution with Blamely provides additional code-level context.
What deployment and access options are available?
Review managed SaaS, on-premise, or private-cloud deployment, together with SSO, RBAC, and audit requirements for your organization.
What should we prepare for a technical walkthrough?
Share your repositories, CI/CD and work tracking tools, deployment preferences, and security requirements so the discussion covers your environment.
See Oobeya in practice
Review Oobeya against your stack
Walk through integration coverage, deployment options, and delivery signals with your DevOps or platform team.