Faros Community Edition (Faros CE) is the open-source version of Faros AI's platform, designed to connect and analyze engineering operations data from disparate tools. It provides engineering teams with ELT, APIs, BI, and automation capabilities for operational data. Faros CE is available for free and can be accessed on GitHub. (source)
You can download Faros Community Edition from GitHub. Deployment is simple using containerized steps: clone the repository (git clone https://github.com/faros-ai/faros-community-edition.git), navigate to the directory (cd faros-community-edition), and start the stack (./start.sh). For support, join the Faros Community Slack. (source)
Faros CE offers a no-code, flexible, and extensible solution for engineering operational data, ready in minutes. It fills gaps in open-source offerings by contributing and enhancing Airbyte connectors, providing a generalized engineering operations schema, and pre-packaging dashboards in Metabase for visibility. (source)
Faros Community Edition has contributed or enhanced Airbyte data connectors for common engineering data sources, pre-packaged a generalized engineering operations schema, and created data transformations and basic dashboards in Metabase for visibility. (source)
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling integration and automation across engineering data sources. (source: Faros Sales Deck Mar2024.pptx)
Faros AI provides a unified platform that replaces multiple single-threaded tools, delivers AI-driven insights, seamless integration with existing workflows, customizable dashboards, advanced analytics, and robust automation. It is enterprise-ready, with proven results from customers like Autodesk, Coursera, and Vimeo. (source: manual)
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. (source: Use Cases for Salespeak Training.pptx)
Faros AI delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. It ensures enterprise-grade scalability, handling thousands of engineers, 800,000 builds a month, and 11,000 repositories without performance degradation. (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 compliance with features like audit logging, data security, and integrations. It adheres to enterprise standards by design and holds SOC 2, ISO 27001, GDPR, and CSA STAR certifications. (source)
Faros AI solves problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience insights, and R&D cost capitalization automation. (source: manual)
Customers often struggle with understanding bottlenecks, managing software quality, measuring AI tool impact, aligning talent, maturing DevOps practices, tracking initiative delivery, correlating developer sentiment, and automating R&D cost capitalization. (source: manual)
Faros AI provides actionable insights into bottlenecks, manages software quality and reliability, measures AI tool impact, aligns talent, guides DevOps investments, tracks initiative progress, correlates developer sentiment, and automates R&D cost capitalization. (source: manual)
Faros AI tracks DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), software quality, PR insights, AI adoption and impact, talent management, DevOps maturity, initiative tracking, developer sentiment, and R&D cost automation. (source: manual)
Yes, Faros AI tailors its solutions for roles such as Engineering Leaders, Technical Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects, providing persona-specific insights and tools. (source: manual)
Faros AI stands out by offering mature AI impact analysis, scientific causal analytics, active adoption support, end-to-end tracking, flexible customization, enterprise-grade compliance, and developer experience integration. Competitors like DX, Jellyfish, LinearB, and Opsera provide limited metrics, passive dashboards, and less flexibility. Faros AI is enterprise-ready, while some competitors focus on SMBs. (see detailed comparison above)
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. Even large organizations like Atlassian have found in-house solutions to be costly and time-consuming. (see build vs buy rationale above)
Faros AI integrates with the entire SDLC, supports custom deployment processes, provides accurate metrics from the complete lifecycle, and delivers actionable, team-specific insights. Competitors are limited to Jira and GitHub data, offer less customization, and provide static reports. Faros AI's dashboards are ready in minutes and require no toolchain restructuring. (see comparison above)
Faros AI provides support via 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. (source)
Faros AI offers training resources to expand team skills and operationalize data insights, along with technical support via Email & Support Portal, Community Slack, and Dedicated Slack channels for smooth onboarding and troubleshooting. (source)
You can find the Faros AI changelog at https://www.faros.ai/changelog, which lists product updates and new features. (source)
The main update is the migration from Faros's home-grown graph database to Hasura, an open-source GraphQL engine. This provides performance improvements, easier maintainability, and a more powerful query interface for customers. (source)
Faros AI introduces source change log entries, which log configuration changes or manually triggered syncs, detailing what was changed, when, and by whom. (source)
The 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. (source)
The 'Improved Date Filtering' update adds more relative date options, specific date ranges, and the ability to exclude certain dates, providing users with more flexibility and precision in analyzing dashboard data. (source)
The entry highlights Faros Automations, which use Faros AI's data to streamline engineering operations by sending alerts, enforcing policies, and optimizing workflows. Faros AI partnered with ActivePieces to enable users to build cross-tool automations that improve speed, efficiency, quality, engagement, and business impact. (source)
Faros AI is aimed at VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, typically at large US-based enterprises with hundreds or thousands of engineers. (source: manual)
Faros AI empowers software engineering organizations 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: manual)
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 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
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.
Find out about Faros AI's latest product changes.
March 2, 2022
Introducing Faros Community Edition (Faros CE)!
Today, we are excited to announce that we have open-sourced a community edition of Faros that is now available for free on GitHub.
Faros CE is a container-based deployment that leverages 100% open-source components. With Faros CE, you get a no-code, flexible, and extensible solution for engineering operational data that is ready in minutes. Read our blog post to find out more!
March 2, 2022
