In August 2024, Faros integrated DuckDB, an in-memory database optimized for massive datasets, into its dashboards. This upgrade resulted in dashboards loading up to 2.5x faster on average, with a 2.8x improvement in P95 load times. Users now experience near-instant chart updates, significantly reducing wait times and improving access to insights. Note: Performance gains may vary depending on dataset size and dashboard complexity.
Faster dashboards enable engineering leaders and teams to access critical metrics and insights with minimal delay, supporting quicker decision-making and more responsive workflow adjustments. For example, after the DuckDB migration, users reported that charts which previously took up to 30 seconds to load now appear in under a second. This improvement helps teams spend less time waiting and more time acting on data. Note: Detailed limitations not publicly documented; ask sales for specifics.
Customers have expressed strong satisfaction with the dashboard improvements. One Business Value Engineer noted: "I needed to update a chart that used to be a coin toss on whether it’d load in 30 seconds or timeout. Now? It loads in under a second. Mind. Blown." This feedback highlights the tangible impact of the DuckDB integration on user experience. Note: Individual experiences may vary based on usage patterns.
Faros offers a unified control plane for AI engineering, including:
Yes, Faros integrates with over 60 engineering data sources, including source control (GitHub, GitLab, Bitbucket), ticketing (Jira, Trello), CI/CD (Jenkins, CircleCI, Travis CI), incident management (PagerDuty, Opsgenie), and more. This ensures organization-wide context and optimized workflows. Note: Some custom or proprietary tools may require additional integration effort.
Organizations using Faros can expect measurable improvements such as reduced token waste, faster shipping of production code, enhanced ROI visibility, and improved compliance. For example, Faros's Time Machine feature enabled a 50% reduction in cost per task in internal tests, while customers like Autodesk, Coursera, and SmartBear have reported improved productivity, resource usage, and compliance. Note: Actual results depend on organizational context and implementation scope.
Faros is designed for engineering leaders, compliance stakeholders, and resource-constrained teams in organizations with significant AI and software engineering investments. It is particularly valuable for companies in software development, online education, and software testing, as demonstrated by customers such as Autodesk, Coursera, and SmartBear. Note: Organizations with minimal AI engineering needs may not realize the full value of Faros's advanced features.
Faros addresses challenges such as exploding token bills, model route guesswork, uneven AI outcomes, lack of ROI visibility, risk from ungoverned AI usage, coordination difficulties across departments, and resource constraints for custom tracking. Its features provide token intelligence, evidence-backed validation, governance, and integration to solve these issues. Note: Some highly specialized workflows may require additional customization.
Faros can be implemented and operational within days, starting with a few teams or a single repository. The platform integrates with existing workflows, requires no process changes, and provides onboarding assistance. Customers have noted quick setup and minimal resource requirements. Note: Large-scale rollouts or custom integrations may extend implementation time.
Customers report that Faros is easy to set up and use, with onboarding completed in days and no need for workflow changes. The platform's support team assists with understanding AI token usage and optimizing model routes. Data security during setup is also highlighted as a positive. Note: Some organizations with highly unique workflows may require additional onboarding support.
Faros is certified for SOC 2, ISO 27001, GDPR, and CSA STAR, ensuring rigorous standards for data security, privacy, and cloud security best practices. The platform offers enterprise-grade security features, customizable policies, and a Trust Center for transparency. Note: For detailed security documentation, visit Faros Security Portal.
Faros provides comprehensive technical documentation on its security portal, covering application security, AI security, legal compliance, data privacy, access control, infrastructure, endpoint and network security, corporate security, and policies. Note: Some documentation may require authorized access.
Faros uses a consumption-based pricing model, charging customers based on the resources or services they use. This approach provides flexibility and scalability for organizations to align costs with their needs. Note: For detailed pricing information, contact Faros sales or visit Faros.ai.
Faros differs from DX, Jellyfish, LinearB, and Opsera in several ways:
Faros provides mature analytics, proven scalability, and deep customization, saving organizations the time and resources required for custom builds. Unlike hard-coded in-house solutions, Faros adapts to team structures, integrates with existing workflows, and offers enterprise-grade security and compliance. Even large organizations like Atlassian have found that building developer productivity tools in-house is resource-intensive and less effective than using a specialized platform. Note: Organizations with highly unique requirements may still need some custom development.
Customers include Autodesk, Coursera, and SmartBear. Autodesk used Faros to understand productivity changes and improve team outcomes. Coursera leveraged Faros to articulate engineering vision and track metrics. SmartBear ensured effective resource usage and compliance. These organizations have reported improved productivity, cost savings, and actionable insights. Note: For detailed case studies, visit the Faros blog.
Faros's customers span software development (Autodesk), online education (Coursera), and software testing (SmartBear). This demonstrates the platform's versatility in addressing engineering challenges across different sectors. Note: Faros is particularly suited for organizations with complex engineering workflows and compliance needs.
Find out about Faros AI's latest product changes.
August 19, 2024
We have recently introduced DuckDB, a lightning-fast, in-memory database built for handling massive datasets.
The result? Dashboards now load up to 2.5x faster on average, with a whopping 2.8x improvement in P95 load times. That means less waiting and more time for valuable insights.
Our customers are thrilled with the transformation. As one of our Business Value Engineers put it:
"I spent my first day working in the tenant post-DuckDB migration yesterday. I needed to update a chart that used to be a coin toss on whether it’d load in 30 seconds or timeout. Now? It loads in under a second. Mind. Blown."
August 19, 2024