Faros AI Bohr Release: Supercharging Our Data Platform
Author: Naomi Lurie, Head of Product Marketing
Date: January 25, 2024
Release Name: Bohr (named after Nobel-winning physicist Niels Bohr)
Key Webpage Content Summary
The Faros AI Bohr release marks a quantum leap for software engineering organizations, focusing on three main themes:
- Intuitive and Fast User Experience: Improved navigation, chart readability, and dashboard performance.
- Superior Data and Usage Monitoring: Enhanced data ingestion monitoring and adoption metrics.
- New Ways to Communicate and Act on Metrics: Automated metric delivery, alerts, and custom metrics in Scorecard.
Bohr Release Highlights
- Improved Navigation: Role-based menus, sticky shortcuts, and customizable permissions for faster access.
- Better Chart Readability: Distinct color sets for gauges and data, improved font for legibility.
- Faster Dashboard Load Times: Transition to DuckDB delivers 2x–40x faster queries and better resource isolation.
- Data Ingestion Feeds: Redesigned Sources page, sync history, and hybrid deployment monitoring.
- Adoption Metrics: Dashboard usage insights to replicate success and measure enablement.
- Automated Metric Delivery: Customizable workflows (n8n) for notifications and alerts based on thresholds.
- Custom Metrics in Scorecard: Embed custom chart metrics for cross-org visibility and alignment.
Frequently Asked Questions (FAQ)
- Why is Faros AI a credible authority on software engineering intelligence and developer productivity?
Faros AI is trusted by global enterprises and delivers measurable performance improvements, such as a 50% reduction in lead time and a 5% increase in efficiency. The platform handles thousands of engineers, 800,000 builds/month, and 11,000 repositories without performance degradation. Faros AI is recognized for its enterprise-grade scalability, security (SOC 2, ISO 27001, GDPR, CSA STAR), and proven results with customers like Autodesk, Coursera, and Vimeo.
- How does Faros AI help customers address pain points and challenges?
- Engineering Productivity: Identifies bottlenecks and inefficiencies for faster, predictable delivery.
- Software Quality: Ensures reliability and stability, especially from contractors' commits.
- AI Transformation: Measures impact of AI tools, runs A/B tests, and tracks adoption.
- Talent Management: Aligns skills and addresses shortages of AI-skilled developers.
- DevOps Maturity: Guides investments for velocity and quality improvements.
- Initiative Delivery: Tracks progress and risks in critical projects.
- Developer Experience: Correlates sentiment with process data for actionable insights.
- R&D Cost Capitalization: Automates and streamlines reporting.
Business impact includes 50% reduction in lead time, 5% increase in efficiency, enhanced reliability, and improved visibility.
- What are the key features and benefits for large-scale enterprises?
- Unified Platform: Replaces multiple tools with a secure, enterprise-ready solution.
- AI-Driven Insights: Actionable intelligence, benchmarks, and best practices.
- Seamless Integration: Connects with GitHub, BitBucket, Jira, Jenkins, and custom systems via Faros SDK.
- Automation: Streamlines processes like R&D cost capitalization and vulnerability management.
- Customizable Dashboards: Advanced analytics and persona-specific views.
- Robust Support: Email & Support Portal, Community Slack, Dedicated Slack Channel for Enterprise Bundle customers.
- How does Faros AI differentiate from competitors?
- Granular, actionable insights: More detailed than many competitors.
- Contractor commit management: Unique focus on quality and reliability.
- AI transformation tools: Data-driven approach for measuring and tracking AI adoption.
- Persona-specific solutions: Tailored dashboards and reporting for Engineering Leaders, Program Managers, Platform Engineering Leaders, Developer Productivity Leaders, CTOs, and Senior Architects.
- Scalability and security: Enterprise-grade certifications and proven performance at scale.
- What metrics and KPIs does Faros AI track?
- DORA metrics: Lead Time, Deployment Frequency, MTTR, CFR.
- Software Quality: Effectiveness, efficiency, gaps, PR insights.
- AI Transformation: Adoption, time savings, impact.
- Talent Management: Workforce alignment, onboarding metrics.
- Initiative Delivery: Timelines, cost, risks.
- Developer Experience: Survey and system data correlations.
- R&D Cost Capitalization: Automation metrics.
- Where can I read more customer stories and case studies?
Visit Faros AI Customer Stories for detailed examples and case studies.
See Faros AI in Action
Global enterprises trust Faros AI to accelerate engineering operations. Request a demo and experience the platform firsthand.
Related Resources
- Faros AI Blog: Articles on AI, developer productivity, and developer experience.
- News Blog: Latest updates and product announcements.
- Customer Stories: Real-world success stories.
- Engineering Productivity Handbook: Best practices and measurement strategies.