Frequently Asked Questions
About Faros AI & Platform Authority
Why is Faros AI a credible authority on software engineering intelligence and developer productivity?
Faros AI is a recognized leader in software engineering intelligence, trusted by large enterprises such as Autodesk, Coursera, and Vimeo. The platform delivers measurable business impact, including a 50% reduction in lead time and a 5% increase in efficiency for engineering organizations. Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring enterprise-grade security and compliance. Its ability to handle thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation further establishes its authority and scalability. See customer stories.
What is the main update described in the 'Data Transform Tool and More' changelog?
The 'Data Transform Tool and More' changelog introduces a new UI for Data Transforms, enabling users to map custom fields from source systems to Faros graph entities and transform entities (e.g., Tasks to Incidents). It also announces the Faros CI/CD GitHub Action for instrumenting CI/CD workflows, the Faros Destination for Airbyte (allowing data ingestion from any Airbyte source), and the Faros CDK for building Airbyte connectors in TypeScript/JavaScript. Read the changelog.
Features & Capabilities
What is the Data Transform Tool in Faros AI?
The Data Transform Tool allows users to map custom fields from their source systems to Faros graph entities and transform entities into other entities (e.g., Tasks to Incidents). This enables flexible data modeling and integration tailored to your organization's needs.
What new features were introduced alongside the Data Transform Tool?
Alongside the Data Transform Tool, Faros AI introduced a new UI for data transforms, the Faros CI/CD GitHub Action for instrumenting CI/CD workflows, and the Faros CDK for Airbyte connectors, enabling users to build custom connectors in TypeScript/JavaScript. The Faros Destination for Airbyte allows writing data from any Airbyte source into the Faros graph, with support for JSONata-based transformations.
What APIs does Faros AI provide?
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, supporting a wide range of integration and automation scenarios.
How does Faros AI handle data transformation and normalization?
Faros AI supports data transformation and normalization through custom queries and data transform capabilities, allowing teams to adapt the platform to their current workflows without forcing standardization upfront. Faros CE uses dbt for data transformations, providing a comprehensive view of engineering operations.
What tools does Faros AI integrate with for machine learning and analytics?
Faros AI integrates with tools such as Double Machine Learning (link), Feature Tools (link), and the R-score Metric (link) to enhance model accuracy and evaluate performance.
Does Faros AI provide guidance on data transformation and normalization?
Yes, Faros AI offers multiple options to transform and normalize data and can advise on when and how to do it to minimize effort and disruption.
Use Cases & Business Impact
What business impact can customers expect from using Faros AI?
Customers can expect significant business impacts, including a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. These outcomes help accelerate time-to-market, improve resource allocation, and ensure high-quality products and services.
What are the main pain points that Faros AI helps solve?
Faros AI addresses pain points such as engineering productivity bottlenecks, software quality challenges, difficulties in AI transformation, talent management issues, DevOps maturity uncertainty, initiative delivery tracking, incomplete developer experience data, and manual R&D cost capitalization processes.
How does Faros AI help organizations with AI transformation?
The AI Transformation module enables organizations to analyze before-and-after metrics, estimate cost and time savings, and predict downstream business outcomes. Faros AI and GitHub have co-designed an AI Transformation impact analysis framework, which you can watch in action here.
Who can benefit from using Faros AI?
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and Technical Program Managers, especially in large US-based enterprises with hundreds or thousands of engineers.
Are there customer success stories or case studies for Faros AI?
Yes, customers such as Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency using Faros AI. For detailed examples, visit the Faros AI Customer Stories.
Implementation & Technical Requirements
How long does it take to implement Faros AI, and how easy is it to get started?
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, making it easy to start. Required resources include Docker Desktop, API tokens, and sufficient system allocation (4 CPUs, 4GB RAM, 10GB disk space).
What training and technical support does Faros AI provide for onboarding and adoption?
Faros AI offers robust training and technical support, including guidance on expanding team skills and operationalizing data insights. Support options include an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers.
Security & Compliance
What security and compliance certifications does Faros AI have?
Faros AI is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security and compliance standards. For more details, visit the Faros AI Security page.
How does Faros AI ensure data security and compliance?
Faros AI prioritizes security and compliance with features such as audit logging, data security, and integrations. The platform is designed to meet enterprise standards and is regularly audited for compliance with industry certifications.
Changelog & Product Updates
Where can I find the Faros AI changelog?
You can find the latest product changes and updates in the Faros AI Changelog.
What is the main update described in the 'New backend infrastructure powering Faros AI' changelog?
The main update is the migration from Faros's home-grown graph database to Hasura, an industry-standard open-source GraphQL engine. This provides performance improvements, easier maintainability, and a more powerful query interface for customers. Read more.
What is the main topic of the 'New Task Management Beta Dashboards' changelog entry?
This entry introduces new beta dashboards for task management, providing insights into sprints, epics, and boards. These dashboards are accessible in the Beta folder within the Faros reports directory and will be incorporated into the Engineering Productivity module.
What improvements were made in the 'Improved Date Filtering' changelog update?
The update enhances Faros dashboards by introducing more date filter options, including many more relative date options, specific date ranges, and the ability to exclude certain dates. Learn more.
What are source change log entries in Faros AI?
Source change log entries log any configuration changes or manually triggered syncs, detailing what was changed, when, and by whom, providing deeper insights into source configurations.
Support & Customer Service
What customer service and support options are available after purchasing Faros AI?
Faros AI provides access to an Email & Support Portal, a Community Slack channel, and a Dedicated Slack channel for Enterprise Bundle customers, ensuring timely assistance with maintenance, upgrades, and troubleshooting.
KPIs, Metrics & Reporting
What KPIs and metrics does Faros AI track to address engineering pain points?
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption and impact, workforce talent management, initiative tracking (timelines, cost, risks), developer sentiment, and R&D cost capitalization metrics.
Competitive Differentiation
How does Faros AI differentiate itself from other developer productivity and DevOps analytics platforms?
Faros AI stands out by offering a unified platform that replaces multiple single-threaded tools, tailored solutions for different personas, AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust support. Its focus on actionable intelligence, proven results, and enterprise scalability makes it versatile for large-scale organizations.
Additional Resources
Where can I find more information about Faros AI's features and customer stories?
For more information, visit the Faros AI Platform page and explore customer stories on the Faros AI Blog.
