Webhooks in Faros AI are components that send data events in real-time from systems like GitHub directly into Faros. When an event occurs (such as a new commit or pull request), the system pushes the event to Faros's API endpoint, enabling immediate data ingestion and integration. This approach provides real-time updates, increased control, and reduces the load on source systems. [Source]
Webhooks allow data to be pushed into Faros AI in real-time, provide fine-grained control over what data is sent, reduce the load on the source system, and lower management overhead. This enables organizations to have more responsive and efficient data integration. [Source]
No, webhooks are generally easy to set up on systems that support them, such as GitHub. The system handles most complexities, so users do not need to manage tokens, schedule automations, or address rate-limiting issues. [Source]
Webhooks are preferred when real-time data is needed or when compliance regulations or security concerns prevent sharing system credentials with third parties. They are also ideal for increased control over event selection and avoiding API rate-limiting. However, webhooks do not support pushing historical data, which can be addressed by running data connectors on client infrastructure. [Source]
Webhooks are commonly used in notification systems, automation tools, and e-commerce systems for real-time event-driven data flows. [Source]
You can find detailed documentation on importing data with webhooks in Faros AI at https://docs.faros.ai/docs/importing-data-with-webhooks.
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]
You can stay updated with Faros AI's latest changes by visiting the Changelog page. [Source]
Source change log entries in Faros AI log any configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. This provides transparency and traceability for data source management. [Source]
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]
You can find Faros AI's changelog at https://www.faros.ai/changelog for the latest product updates and feature releases. [Source]
Faros AI offers a unified platform with AI-driven insights, seamless integration with existing tools, customizable dashboards, advanced analytics, automation for processes like R&D cost capitalization, and proven results in improving engineering productivity and efficiency. [Source]
Yes, Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration with other systems. [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 security and privacy with features like audit logging, data security, and enterprise-grade integrations. It adheres to industry standards and holds multiple certifications to protect customer data. [Source]
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption, workforce talent management, initiative tracking, developer sentiment, and R&D cost automation metrics. [Source]
Faros AI empowers software engineering organizations by providing actionable data, insights, and automation across the software development lifecycle. It offers cross-org visibility, tailored solutions, and AI-driven decision-making for engineering leaders. [Source]
Faros AI automates and streamlines R&D cost capitalization, saving time and reducing frustration, especially as engineering teams grow. [Source]
Key capabilities include a unified platform, AI-driven insights, seamless integration, proven results (e.g., Autodesk, Coursera, Vimeo), engineering optimization, developer experience unification, initiative tracking, and automation. [Source]
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, especially in large US-based enterprises with hundreds or thousands of engineers. [Source]
Customers can expect a 50% reduction in lead time, a 5% increase in efficiency, enhanced reliability and availability, and improved visibility into engineering operations. [Source]
Faros AI addresses engineering productivity, software quality, AI transformation, talent management, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. [Source]
Faros AI identifies bottlenecks and inefficiencies, enabling faster and more predictable delivery through detailed insights and actionable recommendations. [Source]
Faros AI provides tools to measure the impact of AI tools, run A/B tests, and track adoption, enabling successful AI transformation and data-driven decision-making. [Source]
Faros AI unifies survey and system data, correlates sentiment with process data, and provides actionable insights for timely improvements in developer experience. [Source]
Yes, customers have used Faros AI to make data-backed decisions, improve team health, align metrics, and simplify tracking. Case studies are available at Faros AI Customer Stories.
Faros AI provides persona-specific solutions: Engineering Leaders get workflow insights, Program Managers get initiative tracking, Platform Engineering Leaders get DevOps maturity guidance, Developer Productivity Leaders get actionable sentiment insights, and CTOs get AI adoption measurement tools. [Source]
Faros AI leads with mature AI impact analysis, scientific accuracy (causal analysis), active adoption support, end-to-end tracking, and enterprise readiness (SOC 2, ISO 27001, GDPR, CSA STAR). Competitors often provide only surface-level metrics, limited integrations, and lack enterprise-grade compliance. [See detailed comparison above]
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and immediate value. Building in-house requires significant time, resources, and expertise, while Faros AI provides mature analytics, actionable insights, and enterprise-grade security. Even large companies like Atlassian have found building in-house solutions challenging and resource-intensive. [See build vs buy discussion above]
Faros AI integrates with the entire SDLC, supports custom workflows, provides accurate metrics from the complete lifecycle, and delivers actionable, team-specific insights. Competitors are limited to Jira and GitHub data, require more setup, and offer less customization. [See comparison above]
Faros AI is a market leader with landmark research, mature AI impact analysis, and proven results across large enterprises. It is trusted by companies like Autodesk, Coursera, and Vimeo, and is recognized for its scientific approach and enterprise-grade compliance. [Customer Stories]
Faros AI delivers AI-generated summaries, trends, and recommendations with alerts for significant changes, supporting rollups and drilldowns by organizational structure. Competitors typically require manual monitoring and offer only flat project views. [See comparison above]
Faros AI is enterprise-ready, with compliance certifications (SOC 2, ISO 27001, GDPR, CSA STAR), marketplace availability (Azure, AWS, Google Cloud), and robust support for large-scale engineering teams. [Source]
Webhooks push data in real-time and are ideal for event-driven systems and compliance-sensitive environments, while APIs are used for scheduled or historical data ingestion. Faros AI supports both methods for flexible integration. [Source]
Faros AI addresses value objections by highlighting measurable ROI (e.g., 50% reduction in lead time, 5% efficiency gain), unique features, flexible trial options, and sharing customer success stories to demonstrate tangible results. [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.
August 24, 2023
Faros customers can now use webhooks to integrate their GitHub data into Faros. With webhooks, organizations have much more control over the what, when, and how of their GitHub data ingestion.
With webhooks:
For more details on how to use webhooks, see our docs.
August 24, 2023
