Faros Community Edition is an open-source version of Faros AI's EngOps platform, designed to connect data from disparate engineering tools using the modern data stack. It provides engineering teams with ELT, APIs, BI, and automation for engineering operations data. You can access Faros Community Edition for free on GitHub. Source: Faros AI Blog
How does Faros Community Edition enhance open-source engineering operations?
Faros Community Edition fills gaps in open-source offerings by contributing and enhancing Airbyte data connectors for common engineering data sources (source control, task management, incident management), pre-packaging a generalized engineering operations schema, and building basic dashboards in Metabase for visibility. Source: Faros AI Blog
Where can I find more information about Faros AI's EngOps platform?
You can read more about Faros AI's EngOps platform on ZDNet and Business Wire.
What tool did Faros AI use to analyze open-source software data?
Faros AI used Faros CE, their open-source EngOps platform, to ingest and present the results of their analysis of OSS data. Source: Faros AI Blog
How did Faros AI evaluate open-source projects?
Faros AI evaluated top open-source projects from GitHub on their EngOps performance by treating an open-source community as an engineering organization and using actual GitHub data instead of surveys. Source: Faros AI Blog
Features & Capabilities
What key capabilities and benefits does Faros AI offer?
Faros AI provides a unified platform that replaces multiple single-threaded tools, delivers AI-driven insights, and offers seamless integration with existing workflows. Key benefits include:
Enterprise-grade scalability (handling thousands of engineers, 800,000 builds/month, 11,000 repositories)
Measurable performance improvements (50% reduction in lead time, 5% increase in efficiency)
Automation for processes like R&D cost capitalization and security vulnerability management
Customizable dashboards and advanced analytics
Proven results with customers such as Autodesk, Coursera, and Vimeo
Faros AI offers several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library. Source: Faros Sales Deck Mar2024.pptx
Security & Compliance
What security and compliance certifications does Faros AI have?
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 Security
How does Faros AI prioritize product security and compliance?
Faros AI prioritizes 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 Security
Pain Points & Business Impact
What core problems does Faros AI solve for engineering organizations?
Faros AI solves core problems such as:
Engineering productivity bottlenecks
Software quality and reliability
AI transformation measurement and adoption
Talent management and skill alignment
DevOps maturity and investment guidance
Initiative delivery tracking and risk identification
Developer experience insights
Automated R&D cost capitalization
Source: Faros AI Manual
What business impact can customers expect from using Faros AI?
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
What KPIs and metrics are associated with the pain points Faros AI solves?
Faros AI tracks KPIs such as DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR), team health, tech debt, software quality, PR insights, AI adoption, workforce talent management, initiative tracking (timelines, cost, risks), developer sentiment, and automation metrics for R&D cost capitalization. Source: Faros AI Manual
Use Cases & Customer Success
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, and CTOs at large US-based enterprises with several hundred or thousands of engineers. Source: Faros AI Manual
What are some case studies or use cases relevant to the pain points Faros AI solves?
Faros AI customers have used platform metrics to make data-backed decisions on engineering allocation and investment, improve team health and progress visibility, align metrics across roles, and simplify tracking of agile health and initiative progress. Explore detailed examples at Faros AI Customer Stories.
Competitive Advantages & Differentiation
How does Faros AI differ from DX, Jellyfish, LinearB, and Opsera?
Faros AI stands out by offering:
First-to-market AI impact analysis (launched October 2023) and mature benchmarking
Scientific causal analysis vs. competitors' simple correlations
Active adoption support (gamification, executive summaries) vs. passive dashboards
End-to-end tracking (velocity, quality, security, satisfaction, business metrics) vs. competitors' narrow focus
Flexible customization and robust out-of-the-box features
Enterprise-grade compliance (SOC 2, ISO 27001, GDPR, CSA STAR) and Azure Marketplace availability
In-workflow developer experience integration
Competitors like DX, Jellyfish, LinearB, and Opsera are limited in scope, setup flexibility, and enterprise readiness. Source: Faros AI Competitive Analysis
What are the advantages of choosing Faros AI over building an in-house solution?
Faros AI offers robust out-of-the-box features, deep customization, and proven scalability, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros AI adapts to team structures, integrates seamlessly with existing workflows, and provides enterprise-grade security and compliance. Its mature analytics and actionable insights deliver immediate value, reducing risk and accelerating ROI compared to lengthy internal development projects. Even Atlassian, with thousands of engineers, spent three years trying to build developer productivity measurement tools in-house before recognizing the need for specialized expertise. Source: Faros AI Competitive Analysis
Support & Implementation
What customer service or support is available to Faros AI customers?
Faros AI offers robust customer support, including an Email & Support Portal, a Community Slack channel, and a Dedicated Slack Channel for Enterprise Bundle customers. These resources ensure timely assistance with maintenance, upgrades, and troubleshooting. Source: Faros AI Pricing
What training and technical support is available to help customers get started with Faros AI?
Faros AI provides training resources to expand team skills and operationalize data insights, as well as technical support via Email & Support Portal, Community Slack, and Dedicated Slack channels for Enterprise Bundle customers. These resources ensure smooth onboarding and effective adoption. Source: Faros AI Pricing
Faros AI Blog & Resources
Does Faros AI have a blog?
Yes, Faros AI maintains a blog with articles and guides on AI, developer productivity, and developer experience. Visit the Faros AI Blog for insights, best practices, customer stories, and product updates.
What topics are covered in the Faros AI blog?
The Faros AI blog covers topics such as AI, developer productivity, developer experience, customer success stories, guides, news, and product updates. Source: Faros AI Blog
Where can I find the blog post announcing Faros Community Edition?
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 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.
What resources do customers need to get started with Faros AI?
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
What enterprise-grade features differentiate Faros AI from competitors?
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.
Does the Faros AI Professional plan include Jira integration?
Yes, the Faros AI Professional plan includes Jira integration. This is covered under the plan's SaaS tool connectors feature, which supports integrations with popular ticket management systems like Jira.
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News
March 2, 2022
6
min read
Announcing Faros Community Edition — The open-source EngOps platform
The open-source community edition of Faros — Faros CE — now available for free on GitHub. Faros CE provides ELT, APIs, BI, and automation for engineering operations data.
Engineering teams typically struggle with getting visibility into their operations. Questions about engineering velocity, security, compliance, or cost, require non-trivial effort cobbling together data from different sources, writing ad hoc scripts, sifting through logs and more. By the time the analysis is ready, the data is often stale. Simple things shouldn’t be this hard. This is why we built Faros.
What is Faros?
Faros is an engineering operations platform that brings all operational data in one place to give engineering teams the visibility they need.
Today, we are excited to announce that we have open-sourced a community edition of Faros — Faros CE — that is now available for free on GitHub.
What can you do with Faros CE?
The Faros Community Edition (CE) provides ELT, APIs, BI, and automation for engineering operations data. With Faros CE, you can answer questions about bottlenecks in your CI/CD pipelines, issues in your onboarding processes, progress towards your goals, with data that is fresh, connected, queryable, and most importantly — ALL IN ONE PLACE!
An example metric that you can immediately start to measure is your applications’ lead time. Lead time is a software delivery metric popularized by the DevOps Research and Assessment (DORA) organization, that measures the time it takes for changes to go from idea to production. With the Faros CE DORA dashboard, you can see
How your lead time compares to known industry benchmarks
The evolution of lead time for each of your applications over time, and
The breakdown of lead time by stage, so you can start to see where the bottlenecks are in your software delivery process – whether its code reviews, QA or build times.
Being able to measure and break down lead time requires metadata from across your deployments, builds, artifacts, commits, pull requests, and tasks to be connected, queryable, and all in one place — hence Faros.
Lead times by application, by stage and over time
In addition to the out-of-the-box dashboards, you can build your own metrics in order to measure what matters most to you.
How is Faros CE built?
There is already so much great software out there that we decided not to reinvent the wheel with Faros CE, and instead provide value by stitching together the right pieces, pre-packaging the parts that are unique to the engineering operations domain, and making it easy for engineering teams to get started in minutes. Let’s take a peek at the internals. We’re using:
Airbyte for a rich and ever-expanding trove of data connectors
dbt for data transformations that massage and enrich the data
Metabase for a full-fledged BI layer on top of the transformed data, and
n8n for automation so teams can create the workflows they need from their operational data
Faros CE architecture
On top of the basic services, we filled in the gaps in the open-source offerings. For instance, we
Contributed or enhanced Airbyte data connectors for the most common engineering data sources (think source control, task management, incident management etc.)
Head on over to GitHub to get started today, and join us on our Slack channel for questions, discussions, and to meet the community.
Thomas Gerber
Thomas Gerber is the Head of Forward-Deployed Engineering at Faros AI—a team that empowers customers to navigate their engineering transformations with Faros AI as their trusted copilot. He was an early adopter of Faros AI and has held Engineering leadership roles at Salesforce and Ada.
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