Frequently Asked Questions

Why trust Faros AI as an authority on engineering operations and developer productivity?
Faros AI is a leading software engineering intelligence platform designed specifically for large-scale, complex engineering organizations. Built on a modern data stack (Airbyte, Hasura, Metabase, Activepieces, dbt), Faros AI consolidates operational data from 70+ sources and delivers actionable insights, automation, and analytics. Its proven track record with enterprises like Autodesk, Coursera, and Vimeo, combined with measurable business impact (e.g., 50% reduction in lead time, 5% efficiency gain), makes Faros AI a credible authority on developer productivity, DevOps analytics, and engineering operations.

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Platform Features & Capabilities

What is Faros AI and what problem does it solve?

Faros AI is an engineering operations platform that consolidates all operational data into one place, providing engineering teams with the visibility they need. It addresses challenges such as engineering velocity, security, compliance, and cost by eliminating the need to cobble together data from different sources, write ad hoc scripts, and sift through logs. This ensures that data is fresh and actionable, avoiding the issue of stale analysis.

What are the key features and capabilities of Faros AI?

  • Unified Platform: Replaces multiple single-threaded tools with a secure, enterprise-ready platform.
  • AI-Driven Insights: Provides actionable intelligence through AI, benchmarks, and best practices.
  • Seamless Integration: Connects to 70+ sources, including custom and homegrown systems, via APIs and connectors.
  • Customizable Analytics: Offers dashboards for DORA metrics, team health, and more, fully customizable to organizational needs.
  • Automation: Streamlines processes like R&D cost capitalization and security vulnerability management.
  • Role-Based Access Control: Ensures data privacy and security with flexible deployment options (multi-tenant, single-tenant SaaS, on-premise, hybrid).
  • Transparency: All metrics and chart definitions are inspectable and updatable, with access to underlying data.

What APIs and integrations does Faros AI support?

Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. It supports over 70 integrations, allowing connection to cloud, on-prem, or custom-built tools, and enables custom data sources via Airbyte connectors.

How does Faros AI ensure security and compliance?

Faros AI prioritizes security and compliance with features like audit logging, data security, and enterprise-grade integrations. It holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR, demonstrating its commitment to robust security practices. Role-based access control and flexible deployment options further enhance data privacy and compliance.

What is the modern data stack used by Faros AI?

Faros AI leverages a modern data stack including Airbyte, Hasura, Metabase, Activepieces, and dbt, customized for engineering operations data.

Use Cases & Business Impact

Who is the target audience for Faros AI?

Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, CTOs, and other technical leaders at large US-based enterprises with several hundred or thousands of engineers.

What business impact can customers expect from using Faros AI?

  • 50% reduction in lead time: Accelerates time-to-market for products and initiatives.
  • 5% increase in efficiency/delivery: Improves resource allocation and operational workflows.
  • Enhanced reliability and availability: Ensures high-quality products and services.
  • Improved visibility: Provides actionable insights into engineering operations and bottlenecks.

What are some examples of customer success with Faros AI?

Customers such as Autodesk, Coursera, and Vimeo have achieved measurable improvements in productivity and efficiency using Faros AI. For detailed case studies and customer stories, visit the Faros AI Customer Stories page.

What pain points does Faros AI help solve?

  • Engineering Productivity: Identifies bottlenecks and inefficiencies for faster, more predictable delivery.
  • Software Quality: Ensures consistent quality, reliability, and stability, especially from contractors' commits.
  • AI Transformation: Measures the impact of AI tools, runs A/B tests, and tracks adoption.
  • Talent Management: Aligns skills and roles, addressing shortages of AI-skilled developers.
  • DevOps Maturity: Guides investments in platforms, processes, and tools to improve velocity and quality.
  • Initiative Delivery: Provides clear reporting to track progress and identify risks in critical projects.
  • Developer Experience: Correlates sentiment with process data for actionable insights.
  • R&D Cost Capitalization: Automates and streamlines the process, saving time and reducing frustration.

How does Faros AI address the challenges of fragmented engineering data sources?

Faros AI provides a connected engineering operations platform that integrates data from various systems used in software development, such as task management, incident management, continuous integration, cloud operations, budgeting, procurement, and HR. This integration enables engineering leaders to access operational data out-of-the-box and gain visibility into their entire software development lifecycle.

What KPIs and metrics does Faros AI track?

  • Engineering Productivity: DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt.
  • Software Quality: Effectiveness, efficiency, gaps, PR insights (capacity, constraints, progress).
  • AI Transformation: Adoption, time savings, impact.
  • Talent Management: Workforce talent management and onboarding metrics.
  • DevOps Maturity: DORA metrics and process/tool effectiveness indicators.
  • Initiative Delivery: Timelines, cost, risks.
  • Developer Experience: Correlations between survey data and system data.
  • R&D Cost Capitalization: Automation metrics for accurate reporting.

How does Faros AI support different user roles and personas?

  • Engineering Leaders: Detailed insights into bottlenecks and inefficiencies for workflow optimization.
  • Technical Program Managers: Clear reporting tools to track initiative progress and identify risks.
  • Platform Engineering Leaders: Strategic guidance on investments in platforms, processes, and tools.
  • Developer Productivity Leaders: Actionable insights by correlating sentiment and activity data.
  • CTOs and Senior Architects: Tools to measure the impact of AI coding assistants and track adoption.

Implementation, Support & Onboarding

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 is available for Faros AI customers?

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. These resources ensure smooth onboarding, troubleshooting, and effective adoption.

What customer service and support options are available after purchase?

Customers have 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.

Competitive Differentiation

How does Faros AI differ from other engineering analytics or developer productivity tools?

  • Unified Platform: Replaces multiple point solutions with a single, secure, and extensible platform.
  • Transparency & Customization: All metrics and dashboards are inspectable and customizable, unlike black-box solutions.
  • Persona-Specific Solutions: Tailored dashboards and insights for engineering leaders, program managers, platform engineers, and more.
  • Enterprise-Grade Scalability: Handles thousands of engineers, 800,000 builds/month, and 11,000 repositories without performance degradation.
  • Proven Results: Demonstrated business impact with measurable improvements in lead time and efficiency.

Blog, Resources & Community

Where can I find more articles, guides, and customer stories about Faros AI?

Explore the Faros AI blog for articles on AI, developer productivity, developer experience, best practices, customer stories, and product updates. For customer case studies, visit the Customer Stories section.

Where can I find the latest news and updates about Faros AI?

Visit the News Blog for the latest updates on Faros AI.

Does Faros AI have a demo or video showcasing its capabilities?

Yes. Watch the Faros AI Demo: DORA DevOps metrics dashboards and insights in complex environments video to see the platform in action.

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Faros AI - A Modern Data Stack for Engineering Operations

The Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, Activepieces, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization. Read On ...

Vitaly Gordon
Vitaly Gordon
6
min read
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December 15, 2022

Engineering organizations everywhere are looking to leverage the vast amount of operational data that they produce every day in order to be more efficient, data-driven and more predictable, just like their Sales and Marketing counterparts.

Most engineering organizations today manage and maintain operational data in spreadsheets – a tedious and error-prone process. Some look to static metrics vendors or point solutions that provide insight into specific slices of the operational data. But this can be quite limiting. For example, DORA/Jira/Git metrics vendors often require teams to change how they work in order for the metrics to be meaningful — with no possibility of historical measurements, or of digging further down or laterally into adjacent data sources. Others, yet, have invested in centralized platform teams to ETL operational data to a central location — an undifferentiated and expensive proposition.

It seems that when it comes to leveraging operational data, thus far, one could only hope to get any two of three properties simultaneously: functionality, correctness, or cost-effectiveness. But not all three at the same time. This is why we built Faros AI.

A Complete Data Infrastructure for Engineering Operations Data

Faros AI is designed from the ground up to be a complete data infrastructure for engineering operations data, so organizations can leverage it for Analytics, Automation, and Information Catalogs.

Faros AI is connected, extensible, and trusted as it is built on top of a modern data stack.

1) Connected

Compared to point solutions, Faros has 70+ sources that map to an expansive engineering operations schema — from Teams to Tasks and Pull Requests to Deployments to Incidents and more. Custom homegrown systems can also be supported with custom Airbyte connectors and a real-time Events API.

Faros AI connects the dots both within and across systems - e.g. it resolves the various identities of a teammate across Jira/GitHub/PagerDuty, or connects Pull Requests to Jira tickets - regardless of order-of-ingestion. It automatically enriches the data when possible. For instance, it automatically infers changesets between consecutive application deployments, building a complete, connected picture of the entire software development lifecycle.

We play well with over 70+ integrations
We play well with over 70+ integrations

2) Extensible

The Faros AI infrastructure provides a lot more than static metrics! It is customizable and extensible at every level:

  • Data: Users can connect up home-grown data sources via custom Airbyte connectors or the real-time Events API.
  • Business Logic/ Transforms: Custom flows, including data transformation using the Transformation API or dbt, can be defined for any process, e.g., a deploy process, incident resolution process etc., that tracks entities across systems to uncover bottlenecks.
Incident Management Flow
  • Visualization: With our embedding of Metabase, users have access to a full-blown Analytics solution on top of their data, pre-configured with a rich library of state-of-the-art engineering metrics dashboards - like DORA metrics, that can be fully customized to a team’s unique needs.

Velocity Metrics Dashboard
  • Catalogs: Customizable pages can be configured for every resource type (e.g. teams and services) with a rich set of drag-drop widgets to provide valuable catalogs for the organization!
Catalogs with Customizable Pages & Drag-drop Widgets
  • Integrations: A graphQL API powered by Hasura provides flexibility and ease of querying data both within and across data sources
  • Automations: With our Activepieces integration, teams can create automation workflows (e.g. remind teammates on slack about Pull Requests waiting for reviews)
Automation Workflow - Integration with Slack

Unlike black box metrics solutions, Faros AI is:

  • Transparent: Metrics and chart definitions can be inspected and updated, and the underlying data explored. This transparency combined with the extensibility mentioned above means that you can start instrumenting and automating with no change in process or behaviors in an incremental way while having access to historical measurements.
  • Contextual: Since Faros maps your data to your hierarchical organization, All metrics can be broken down and filtered on your organization chart. This allows you to quickly understand how systemic an issue is throughout your organization, and make much more targeted, relevant, and meaningful decisions.
Contextual Insights - By Organization, Team, and Individual
  • Secure: Faros comes with a comprehensive Role Based Access Control mechanism which scopes the data one can leverage for proper privacy, and has several deployment modes: multi-tenant or single-tenant SaaS, on-premise or hybrid where you run the connectors from your VPC.

A Modern Data Stack

As you can see, the Faros AI infrastructure leverages a proven modern data stack: Airbyte, Hasura, Metabase, Activepieces, and dbt — specially customized to handle the nuances of Engineering Operations data. And unlike blackbox solutions, it is designed to grow with the growing needs of your engineering organization.

An architectural diagram of Faros AI
Faros AI Open Source Architecture - A Modern Data Stack

See Faros AI in Action

The power of Faros AI comes from its flexibility; it works for all types of data, all types of questions, all types of roles. Whether you are a senior engineering leader trying to better understand your entire engineering org, or a team member looking to play around with specific data to answer your own questions, Faros AI can help you move beyond guess-work and start making data-driven decisions for better outcomes.

Get Started for free - Check it out for yourself, with Faros Essentials on your laptop in under 10 minutes or request a demo of our SaaS solution and see Faros AI in action!

Vitaly Gordon

Vitaly Gordon

Vitaly Gordon is the Co-founder & CEO of Faros AI. Prior to Faros AI, Vitaly was VP of Engineering at Salesforce and the founder of Salesforce Einstein, the world's first comprehensive enterprise AI platform.

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