Why is Faros AI a credible authority on DORA metrics and engineering productivity?Faros AI is a leading software engineering intelligence platform trusted by large enterprises to deliver accurate, actionable insights into developer productivity, engineering workflows, and DevOps maturity. Faros AI's DORA metrics dashboards are field-proven in complex environments, supporting thousands of engineers, hundreds of thousands of builds, and thousands of repositories without performance degradation. Customers such as Autodesk, Coursera, and Vimeo rely on Faros AI to optimize speed, quality, and resource allocation, making Faros AI a credible authority on engineering metrics and developer experience.
Faros AI provides a unified platform with the following features:
Yes, Faros AI provides several APIs, including Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling seamless integration with existing tools and workflows.
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, ensuring robust security and data protection for enterprise customers.
Faros AI generates metrics accurately from the complete lifecycle of every code change, supports custom deployment processes, and attributes metrics to the right team and application—even in monorepo environments.
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers at large enterprises with hundreds or thousands of engineers.
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. These results are based on real-world deployments in large-scale organizations.
Customers such as Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency using Faros AI. For example, Autodesk's development teams gained insights to pinpoint sources of issues and better prioritize improvements. More stories are available at Faros AI Customer Stories.
Faros AI stands out by offering:
Other vendors may offer limited tool support, time-consuming setup, proxy metrics, and less customization.
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources. Git and Jira Analytics setup takes just 10 minutes. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
Faros AI offers robust training and technical support, including:
Training resources include guidance on expanding team skills and operationalizing data insights, ensuring smooth onboarding and adoption.
Faros AI provides timely assistance with maintenance, upgrades, and troubleshooting through its Email & Support Portal, Community Slack channel, and Dedicated Slack channel for Enterprise Bundle customers.
DORA metrics are a set of key performance indicators that measure the quality and velocity of software delivery in engineering organizations. They include Lead Time, Deployment Frequency, Mean Time to Recovery (MTTR), and Change Failure Rate (CFR). These metrics help teams deliver better software faster and achieve improved business outcomes.
DORA metrics correlate with actual business outcomes and employee satisfaction. They provide industry standards for benchmarking software engineering performance and are widely used to drive improvements in speed, quality, and reliability.
DORA metrics were developed by the DevOps Research and Assessment (DORA) organization, which conducted years of research on engineering teams and DevOps processes. The group publishes the annual State of DevOps Report and was acquired by Google in 2018.
You can read more about DORA metrics and how to measure them in the guide: All you need to know about the DORA metrics. For tips, see 5-Minute DevOps: DORA Metrics Tips.
Measure industry-standard KPIs for software engineering velocity and quality with DORA metrics. Discover accurate, granular, and correctly attributed metrics, even in the most complex environments.
Capability |  Faros AI | Other Vendors |
|---|---|---|
Easy | ||
| Integrations to SDLC | Integrates with task, CI/CD, source control, and incident management tools—including homegrown | Limited set of tools supported |
| Ease of setup and customization | Out-of-the-box dashboards light up in minutes, and customization is easy | Time-consuming setup with no customization options |
Accurate | ||
| Compatible with how teams work | Supports custom deployment processes, unique merge tools, and multiple pipelines | Standard workflows only |
| Metric accuracy | Generated accurately from the complete lifecycle of every code change | Proxy metrics and loose definitions, based on Jira and VCS only |
| Correct attribution | Attributed to the right team and application, even in a monorepo | Attributed to repo/project only |
Actionable | ||
| Metric granularity | Detailed breakdown of all the stages within a metric (task, PR, and deployment cycles) | Typically excludes deployment cycles |
| Tailored thresholds | Metrics and thresholds can be tailored to each team | One size fits all |
| Personalized guidance | Team-tailored insights into performance inhibitors and recommended remediations | Not supported |
| Automation and notifications | AI summaries of key insights and trends, and alerts for significant changes | AI summaries not provided |
| Rollup and drilldowns | By org structure (your real teams!) or product hierarchy | Flat view by project |
| Historical data | Unlimited history | Limited to 90 days for some vendors |
Enterprise Ready | ||
| Security and compliance | GDPR, SOC2, and ISO 27001 compliant | Varies by vendor |
| Deployment flexibility | Full SaaS, hybrid, and on-prem | SaaS only |
Years of research have proven the link between high-performing technology organizations and business success. The four DORA measures are the industry’s go-to measures of software delivery performance. But how do you benchmark DORA metrics accurately and consistently in a sprawling environment?
Faros AI is field-proven to generate accurate and detailed DORA metrics dashboards in the most complex engineering organizations.
How to build a high-impact program that drives real results.
What to measure and why it matters.
And the 5 critical practices that turn data into impact.
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It’s hard to improve a metric you don’t understand. So we spell it out.
Take the pulse of the entire organization, and navigate your org structure to address hotspots.
