The startup provides high-cardinality metrics, dashboards, and monitoring tools specifically designed for OpenTelemetry environments. This offering enables organizations to gain detailed insights into their observability data, enhancing performance tracking and operational efficiency.
Funding
Funding not disclosed
Founders
Product
Problem
Organizations using OpenTelemetry often struggle to derive granular insights from their observability data due to the limitations of traditional monitoring tools when dealing with high-cardinality metrics. Existing solutions can become expensive and unwieldy when attempting to track metrics across numerous dimensions, such as individual customer IDs or organization-specific attributes.
Solution
Firetiger provides an observability platform designed for B2B SaaS companies leveraging OpenTelemetry, enabling them to analyze high-cardinality metrics without incurring excessive costs or performance penalties. By employing schema-on-read techniques and integrating with existing data lakes via Iceberg, Firetiger allows users to tag metrics with unlimited high-cardinality fields and filter data across multiple dimensions. The platform enriches telemetry data by joining it with information from various business data sources, such as Salesforce, Intercom, and Netsuite, facilitating the creation of per-tenant dashboards and monitors that offer a comprehensive understanding of customer behavior and performance.
Target Audience
Firetiger primarily targets B2B SaaS companies that utilize OpenTelemetry and require detailed, per-customer analytics and monitoring capabilities.
Features
- Support for unlimited high-cardinality fields, enabling detailed metric analysis across diverse dimensions
- Ability to filter metrics on multiple fields simultaneously for granular data segmentation
- Custom monitor creation with tenant-specific conditions for tailored alerting
- Integration with over 100 data sources out-of-the-box, including Salesforce, Intercom, and Netsuite
- Option to build custom integrations for ingesting data from any source
- Data storage within the user's own S3 bucket, ensuring data residency and control
- Cost-effective scalability to petabytes of data with predictable pricing
- Customizable S3 storage and retention tiers for optimized data management
- Real-time streaming and visualization of query results