Faros AI now allows users to monitor local sources directly on the 'Manage Sources' page, centralizing visibility and enabling effortless oversight and debugging across both local and cloud-based sources. This update streamlines troubleshooting and improves operational transparency. Source
You can view the configuration, sync status, and sync history for every connector—local or cloud-based—on the Sources page. Sync logs are also available for easier debugging and collaboration with Faros Support. Source
You can find Faros AI's latest product changes and updates in the Changelog.
Stay updated with Faros AI's latest changes by visiting the Changelog page.
The Franklin release introduces a hardened CLI for better performance, including faster syncs and improved archive management. Source
The Doppler release includes improved performance for Jira and GitHub connectors, faster dashboard load times with DuckDB, and SCIM provisioning for user management. Source
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs. These entries include details about what was changed, when, and by whom, providing deeper insights into source configurations. Source
The enhanced visibility feature provides greater transparency in managing data sources, helping maintain the reliability and integrity of data integration processes. Source
Without visibility, data hygiene issues cannot be identified or addressed. Faros AI emphasizes starting with visibility to avoid wasting time on fixing the wrong problems. Source
Faros AI introduces better visibility into source status at the table level, easier debugging for data ingestion issues by accessing log history, and deeper understanding of changes with source change log entries. Source
You can now monitor local sources directly on the 'Manage Sources' page, centralizing visibility and enabling effortless oversight and debugging across local and cloud-based sources. Source
The hybrid approach allows clients to download and run open-source data connectors on their own infrastructure, giving them full control over operation and scheduling. Source
Clients have full responsibility for integrating connectors into their automation stack, which can add overhead and impact other business operations. Source
Hybrid deployments allow customers to execute sources on their infrastructure while sending resulting data to Faros. Users can view hybrid source configurations in the SaaS application and share logs with team members or Faros support. Source
The redesigned Sources page includes sync history for investigating data ingestion issues and better monitoring for hybrid deployments, enabling customers to view hybrid source configurations and share logs. Source
Faros AI's enhanced visibility features provide greater transparency in managing data sources, helping maintain the reliability and integrity of data integration processes. Source
You can find more information about Faros AI's latest product changes on the changelog page.
Source change log entries log any configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. Source
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. Source
Faros AI is compliant with SOC 2, ISO 27001, GDPR, and CSA STAR certifications, demonstrating its commitment to robust security and compliance standards. Source
Faros AI prioritizes product security and compliance with features like audit logging, data security, and integrations. It adheres to enterprise standards by design and holds certifications such as SOC 2, ISO 27001, GDPR, and CSA STAR. Source
Faros AI offers a unified platform, AI-driven insights, seamless integration with existing tools, proven results for customers like Autodesk and Coursera, engineering optimization, unified developer experience metrics, initiative tracking, and automation for processes like R&D cost capitalization and security vulnerability management. Source
Faros AI empowers software engineering organizations to do their best work by providing readily available data, actionable insights, and automation across the software development lifecycle. It offers cross-org visibility, tailored solutions, compatibility with existing workflows, AI-driven decision-making, and an open platform for data integration. Source
Faros AI enables organizations to correlate developer sentiment with system metrics, analyze survey responses alongside operational metrics, and track changes over time to measure the impact of improvements based on developer feedback. Source
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency/delivery, enhanced reliability and availability, and improved visibility into engineering operations and bottlenecks. Source
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer experience correlations, and R&D cost capitalization automation metrics. Source
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically at large US-based enterprises with several hundred or thousands of engineers. Source
Faros AI solves engineering productivity bottlenecks, software quality challenges, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. Source
Customers express pain points such as difficulty understanding bottlenecks, managing software quality, measuring AI tool impact, talent shortages, uncertainty in DevOps investments, lack of clear reporting, incomplete developer experience data, and manual R&D cost capitalization processes. Source
Faros AI provides detailed insights into bottlenecks, manages software quality, measures AI tool impact, aligns talent, guides DevOps investments, tracks initiatives, correlates developer sentiment, and automates R&D cost capitalization. Source
Yes, Faros AI tailors solutions for Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects, ensuring each role gets the precise data and insights needed for their unique challenges. Source
Faros AI customer stories include improved engineering allocation, enhanced team health visibility, aligned metrics for different roles, and simplified tracking of agile health and initiative progress. Explore case studies at Faros AI Blog.
Faros AI leads the market in AI impact metrics, offers scientific causal analysis, provides active guidance for adoption, tracks end-to-end metrics, supports deep customization, is enterprise-ready with compliance certifications, and integrates developer experience feedback. Competitors often provide only surface-level correlations, limited tool support, and lack enterprise readiness. Source
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security, saving organizations time and resources compared to custom builds. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI. Source
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics from the complete lifecycle, offers actionable insights and AI-generated recommendations, and delivers proactive intelligence. Competitors are limited to specific tools, proxy metrics, and static dashboards. Source
Faros AI is a market leader in developer productivity and engineering intelligence, with landmark research, proven customer results, and mature AI impact analysis. Its platform is trusted by large enterprises and validated by industry certifications. Source
Faros AI delivers enterprise-grade scalability, handling thousands of engineers, hundreds of thousands of builds, and thousands of repositories without performance degradation. It supports compliance, security, and deep customization for complex organizations. Source
Faros AI addresses value objections by highlighting measurable ROI (such as 50% reduction in lead time), emphasizing unique features, offering flexible trial options, and sharing customer success stories. Source
This page wast last updated on 12/12/2025 .
Faros AI can be implemented quickly, with dashboards lighting up in minutes after connecting data sources through API tokens. Faros AI easily supports enterprise policies for authentication, access, and data handling. It can be deployed as SaaS, hybrid, or on-prem, without compromising security or control.
Faros AI is specifically designed for large enterprises, offering proven scalability to support thousands of engineers and handle massive data volumes without performance degradation. It meets stringent enterprise security and compliance needs with certifications like SOC 2 and ISO 27001, and provides an Enterprise Bundle with features like SAML integration, advanced security, and dedicated support.
Faros AI can be deployed as SaaS, hybrid, or on-prem. Tool data can be ingested via Faros AI's Cloud Connectors, Source CLI, Events CLI, or webhooks
Find out about Faros AI's latest product changes.
April 29, 2024
We're excited to enhance your experience with a significant update to our web application. While local sources have always been a part of your data toolkit, you can now monitor these sources directly on the 'Manage Sources' page of our platform. This update centralizes the visibility of all data importation methods, enabling you to effortlessly oversee and debug issues across both local and cloud-based sources.
With the change, you can now view the configuration, see sync status and explore the sync history in the Sources page for every connector, whether local or cloud-based. Sync logs are also available in the Faros web application, making it even easier to debug issues with your team and with the help of Faros Support.
April 29, 2024
