The Faros AI Franklin release focuses on data exploration and visualization, enhancing engineering data analysis and productivity through new features like custom dashboards, advanced query capabilities, and improved data sync. It empowers engineering teams to make data-driven decisions with powerful new tools. Source
The Franklin release introduces new query and visualization features, new connectors for enhanced data integration, a hardened CLI, faster syncs, improved archive management, and advanced customization tools for engineering productivity charts and dashboards. Source
The Franklin release brings faster data sync for key models, a more robust Faros Events CLI, expanded integrations with new connectors, and enhanced engineering data exploration capabilities. Source
The Franklin release empowers engineering teams with advanced querying, new visualizations, and customization tools, enabling them to make data-driven decisions and optimize productivity. Source
The Franklin release is named after Rosalind Franklin, a British chemist and X-ray crystallographer known for her work on the molecular structures of DNA, RNA, viruses, coal, and graphite. The name symbolizes the power of visualization in engineering data. Source
Faros AI offers a unified platform that replaces multiple single-threaded tools, providing AI-driven insights, seamless integration with existing workflows, and proven results for large enterprises. Key benefits include engineering optimization, developer experience unification, initiative tracking, automation of processes like R&D cost capitalization, and robust security and compliance. Source
Faros AI provides several APIs, including the Events API, Ingestion API, GraphQL API, BI API, Automation API, and an API Library, enabling flexible integration and automation. 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 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 solves core problems such as engineering productivity bottlenecks, software quality management, AI transformation measurement, talent management, DevOps maturity, initiative delivery tracking, developer experience improvement, and R&D cost capitalization automation. 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 and bottlenecks. Source
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 experience, and R&D cost capitalization metrics. Source
Faros AI is designed for VPs and Directors of Software Engineering, Developer Productivity leaders, Platform Engineering leaders, and CTOs, primarily in large US-based enterprises with hundreds or thousands of engineers. Source
Faros AI provides persona-specific solutions: Engineering Leaders get workflow optimization insights; Technical Program Managers receive clear reporting tools; Platform Engineering Leaders get strategic guidance; Developer Productivity Leaders benefit from actionable sentiment and activity insights; CTOs and Senior Architects can measure AI coding assistant impact and adoption. Source
Faros AI stands out with first-to-market 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 offer limited metrics, passive dashboards, and less customization, often focusing only on coding speed and lacking enterprise readiness. Source
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 companies like Atlassian have found that building in-house developer productivity tools is complex and resource-intensive. Source
Faros AI offers 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 provides training resources for expanding team skills and operationalizing data insights, along with technical support via Email & Support Portal, Community Slack, and Dedicated Slack channels for smooth onboarding and adoption. Source
Yes, Faros AI has a blog featuring articles and guides on AI, developer productivity, and developer experience. Read the blog
The Faros AI blog covers topics such as AI, developer productivity, developer experience, customer success stories, guides, and news. Source
You can explore more articles on Faros AI's blog by visiting our blog page.
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.
Faros AI announces enhancements for engineering data exploration and building custom engineering productivity charts and dashboards
Our Franklin release is packed with features that simplify every step of building on Faros AI, helping you transform engineering data into insights tailored to your mission, operating model, and culture.
As our customer Vimeo recently shared, “We started using Faros AI specifically for DORA metrics but discovered quickly that it could easily adapt with our evolving metrics, like security metrics and quarterly delivery rates. We were able to quickly build the reports and dashboards that gave us exactly what we were looking for.”
In addition to new query and visualization features, we’re introducing new connectors, a hardened CLI, faster syncs, and improved archive management.
As always, this release is named after a transformational scientist. Rosalind Franklin (1920–1958) was a British chemist and X-ray crystallographer whose groundbreaking work was crucial to understanding the molecular structures of DNA, RNA, viruses, coal, and graphite.
Franklin discovered the DNA double helix by capturing Photo 51, an X-ray diffraction image that revealed DNA's helical structure. The iconic double helix image is a testament to the power of visualization.
Let’s dive in.
Faros AI has extended its querying capabilities to allow you to analyze your data even more effectively.
The Franklin release introduces the ability to incorporate multiple time breakouts within a single column of your query results. This enhancement makes it easier to create tables that display, for example, the number of bugs created on both a daily and weekly basis or quarterly metrics further broken down by month.
Using multiple time breakouts can add additional insight to your data. For example, in the visualization below, we've created a heatmap for the “busiest” deployment hours of the day.
Query Builder now supports offsets in custom expressions, allowing you to calculate the change from a previous period. This is handy for spotting trends and better understanding how your data behaves over time.
Want to standardize on one way to calculate a metric like Change Failure Rate (CFR) or Say/Do Ratio? Now, you can save a metric (under Dashboard Directory) to make it available when anyone builds a query. Predefined calculated metrics can help improve consistency across charts and shorten the time to build a new query.
Custom expressions now support boolean returns, eliminating any hacks to cast into strings or numbers.
Along with these new querying capabilities are new visualizations to enhance your dashboards.
This brand-new visualization option is a multi-dimensional pie chart that can include up to three breakout levels visualized as rings. Sunburst charts excel at depicting nested or hierarchical structures.
Trend charts give you a snapshot of how KPIs are tracking against a previous time period or target number. Now, you have more options for configuring those time ranges and benchmarks, and you can display up to three comparisons on one chart. Adjust and compare against a unit of time, the time increment, a static number like a goal, or another column like an average.
Who doesn’t love a stacked bar chart? You can now combine them with a trend line in a combo stacked bar chart.
Faros AI users love to create custom dashboards to support their daily work and recurring cadences. These new features make them work even better!
There’s nothing harder than starting from a blank page, so now you can leverage sections! Sections are templates with headings and pre-arranged layouts for charts and KPIs.
Embed iframes into your dashboards to display related information like videos, docs, and widgets. Embed anything that completes the context so your dashboard can truly be the one-stop-shop you envisioned.
Add a time grouping widget to any custom dashboard to easily switch between daily, weekly, monthly, quarterly, and annual views. The selected time grouping will instantly apply to all the charts in the dashboard.
Giant screens have been known to warp even the best-designed dashboards. Now, you can limit the width of your dashboard so it will still look good on those huge monitors.
Love your dashboard but want to switch out a card? In Edit mode, simply hover over the card and click the “Replace” icon. The dashboard will automatically update and display the new card to look great in any size you choose.
Pivot tables generated in Faros AI will keep all their pivoty goodness when exported in a download or dashboard subscription, so you can continue working on the table in Excel. By default, all exported data keeps the formatting you set in Faros AI (e.g., if you formatted 187.50 as $187.50), but you can opt to download without formatting if preferred.
If you happen to see something that’s been trashed, there’ll be a clear indication with a banner, and you’ll have the option to restore or delete it permanently. Also, trash is now a collection—meaning you can search, filter, sort, and view metadata. It’s visible to everyone, but permissions will determine which trashed items people can see.
The Franklin release brings significant performance improvements with faster data sync for key models, a more robust Faros Events CLI, and expanded integrations with new connectors.
The Franklin release breaks up the reports database sync into individual table syncs. Important tables such as employees and teams can now be updated at a much faster cadence than before, as their updates are no longer blocked by the processing of more complicated tables.
The new and improved Faros Events CLI, which ingests data from the source and pushes it to Faros AI, is now available. The new CLI is less error-prone, easier to incorporate into your workflows, and has improved support for Windows operating systems.
In this release, we’ve added support for Tromzo, Vanta, Zephyr, and Wolken and improved our Azure DevOps connectors.
To learn more about these capabilities or speak to a product expert, reach out to our team.
Naomi is head of product marketing at Faros AI.
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