In August 2024, Faros AI introduced several enhancements to its analytics platform, including incremental data extraction for efficient replication, optimized flow queries for faster data transfer, and incremental metrics rebuilds that update only new or changed data. These improvements resulted in a 65% decrease in average sync times, significantly speeding up dashboard and report updates. [Source]
Users benefit from much faster and more reliable analytics. With a 65% reduction in sync times, dashboards and metrics update more quickly, enabling real-time decision-making and improved engineering visibility. These changes help teams respond faster to business needs and reduce waiting times for critical data. [Source]
Incremental data extraction is a feature that allows Faros AI to replicate only new or changed data into the reports database, rather than reprocessing all data. This makes analytics updates more efficient and reduces processing time. [Source]
Faros AI streamlines data processing by optimizing flow queries, which accelerates the transfer of data from source systems to analytics dashboards. This results in faster data availability and improved user experience. [Source]
Incremental metrics rebuilds ensure that only new or changed data is processed during analytics updates, minimizing processing time and resource usage. This leads to faster, more efficient reporting and analytics for engineering teams. [Source]
After the August 2024 update, Faros AI analytics sync times decreased by 65% on average, allowing users to access up-to-date metrics and dashboards much more quickly. [Source]
Fast data refresh ensures that engineering leaders and teams have access to the most current information, enabling timely decisions, rapid identification of bottlenecks, and improved responsiveness to business needs. [Source]
Faros AI continuously invests in platform improvements, such as incremental data extraction and optimized queries, to ensure dashboards and metrics are both fast and reliable. These enhancements minimize downtime and ensure data accuracy for users. [Source]
Faster analytics empower engineering organizations to make data-driven decisions more quickly, improve productivity, and respond to issues before they escalate. This leads to better project outcomes, higher team satisfaction, and increased ROI from engineering investments. [Source]
The Faros AI changelog provides a comprehensive overview of the latest product updates, feature enhancements, and improvements. Users can stay up to date on new capabilities and technical enhancements that make the platform more powerful and user-friendly. [Source]
Faros AI provides cross-org visibility, tailored analytics, AI-driven insights, workflow automation, and seamless integration with existing tools. Key features include a unified data model, customizable dashboards, intelligent attribution, process analytics, and AI-powered recommendations. [Source]
Yes, Faros AI supports integration with a wide range of tools, including Azure DevOps, GitHub, Jira, CI/CD pipelines, incident management systems, and custom or homegrown systems. This ensures compatibility with your current workflows. [Source]
Faros AI enables users to build custom dashboards and charts, including Sankey charts, sunburst charts, and pivot tables. Features like multi-select filtering, dynamic iframes, and enhanced tooltips provide deep, interactive analytics tailored to engineering needs. [Source]
Dashboards light up in minutes after connecting data sources, and customers have reported achieving value in just one day during proof of concept (POC) implementations. [Source]
Faros AI provides resources such as the Engineering Productivity Handbook, guides on secure Kubernetes deployments, technical guides for AI-powered workflows, and blog posts on integration options. These resources support technical implementation and best practices. [Source]
Faros AI tracks a wide range of KPIs, including cycle time, PR velocity, lead time, throughput, review speed, code coverage, test coverage, change failure rate, deployment frequency, initiative cost, developer satisfaction, and more. These metrics help organizations optimize productivity, quality, and ROI. [Source]
Faros AI is designed for engineering leaders, platform engineering owners, developer productivity and experience teams, technical program managers, data analysts, architects, and people leaders in large enterprises. It is especially valuable for organizations seeking to improve engineering productivity, software quality, and AI adoption. [Source]
Faros AI helps organizations achieve up to 10x higher PR velocity, 40% fewer failed outcomes, rapid time to value (in as little as one day), optimized ROI from AI tools, scalable growth, and reduced operational costs. [Source]
Faros AI addresses bottlenecks in productivity, inconsistent software quality, challenges in AI adoption, talent management issues, DevOps maturity, initiative delivery, developer experience, and R&D cost capitalization. [Source]
Faros AI streamlines manual processes for R&D cost capitalization, providing finance-ready reports with clear audit trails, real-time breakdowns, and seamless handling of overlapping tasks, saving time and reducing frustration as teams grow. [Source]
Yes, Faros AI features customer success stories and case studies that demonstrate improved decision-making, enhanced visibility, and simplified tracking of engineering metrics. Explore detailed stories at https://www.faros.ai/blog/category/customers.
Faros AI is SOC 2 certified, ISO 27001 compliant, GDPR compliant, and holds CSA STAR certification. These credentials demonstrate adherence to rigorous standards for data security, privacy, and cloud security best practices. [Source]
Faros AI anonymizes data in ROI dashboards, supports secure deployment modes (SaaS, hybrid, on-premises), and complies with export laws and regulations. The platform is designed with enterprise-grade security as a top priority. [Source]
Faros AI stands out with its mature AI impact analysis, scientific accuracy (causal analysis vs. simple correlation), active guidance, end-to-end tracking, deep customization, and enterprise readiness. Unlike competitors, Faros AI provides actionable insights, supports complex workflows, and is certified for enterprise compliance. [Source]
Faros AI offers robust out-of-the-box features, deep customization, proven scalability, and enterprise-grade security. It delivers immediate value and reduces risk compared to lengthy internal development projects, which often lack the specialized expertise and flexibility of Faros AI. [Source]
Faros AI integrates with the entire SDLC, supports custom workflows, and provides accurate metrics from the complete lifecycle of every code change. Competitors are limited to Jira and GitHub data, offer less customization, and often require workflow changes. Faros AI delivers actionable, team-specific insights and proactive intelligence. [Source]
Faros AI is a market leader with landmark research (AI Engineering Report, AI Productivity Paradox), early partnerships with GitHub, and proven results across thousands of teams. Its platform is trusted by large enterprises and validated by industry certifications. [Source]
Faros AI offers rapid implementation, with dashboards lighting up in minutes after connecting data sources. Customers have reported achieving value in as little as one day during proof of concept. [Source]
Faros AI supports SaaS, hybrid, and on-premises deployment modes, allowing organizations to choose the level of control and security that best fits their needs. [Source]
Faros AI provides technical documentation, guides, a changelog, and a trust center for security and compliance information. Users can also access customer support for implementation and troubleshooting. [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 15, 2024
Improved Data Refresh for Faster Analytics
As we scale at Faros, we remain committed to improving the speed and reliability of our dashboards and metrics. Wit this in mind, we've focussed on the delivering the following features for our customers:
These improvements have resulted in a 65% decrease in average sync times!
August 15, 2024