Logfire Enterprise¶
Overview¶
In addition to the Pro plan, Logfire has two enterprise offerings:
- Enterprise Cloud: Fully managed, SLA-backed service
- Enterprise Self-Hosted: On-premises deployment via Kubernetes
Enterprise Cloud¶
Target Users¶
Organizations requiring:
- Service Level Agreements (SLAs)
- Custom Data Processing Agreements (DPAs)
- HIPAA Business Associate Agreements (BAAs)
- Invoice Billing
- Custom retention
Features¶
| Feature | Description |
|---|---|
| Full-Service Hosting | All operational complexity managed by our engineering team |
| Enhanced Support | Priority support with guaranteed SLAs, 24/7 dedicated assistance |
| Compliance & Custom Billing | Tailored billing options and industry-specific compliance packages |
| Custom Retention | Extended data retention beyond the standard 30-day SaaS offering |
Enterprise Self-Hosted¶
Note: The Helm chart for Pydantic Logfire is now open source
Target Users¶
Organizations with:
- Highly sensitive data requirements
- Data sovereignty requirements
- Kubernetes expertise
Features¶
| Feature | Description |
|---|---|
| Deployment | Open-sourced Helm chart for quick deployment on any Kubernetes cluster |
| Storage & Retention | Parquet storage on any S3-compatible object storage with customizable retention policies |
| Scalability | Native Kubernetes scaling to match workload and cost requirements |
Support Services¶
Enterprise Self-Hosted customers receive:
Installation & Configuration Guidance¶
- Production deployment best practices
- Environment-specific recommendations
Ongoing Troubleshooting¶
- Direct access to support engineers
- Assistance with operational and performance issues
Periodic Health Checks¶
- Optional system assessments
- Optimization and update recommendations
Technical Architecture¶
Core Technology Stack¶
Both deployment options use the same underlying technology:
- Data Ingestion: OpenTelemetry
- Storage Format: Parquet
- Query Engine: SQL-based queries via Apache DataFusion
Key Technical Benefits¶
Open Standards Integration¶
- Built on established protocols and open formats
- Minimizes vendor lock-in risk
- Seamless integration with existing tooling
- Simplified migration path through OTel compatibility
AI Readiness¶
- SQL-based query layer provides familiar interface for AI tools
- Enables integration with LLM-powered workflows
- Supports automated analysis via agents
- Compatible with Logfire MCP server
Performance¶
- Powered by customized Apache DataFusion
- Recognized as the fastest single-node engine for Parquet queries
- Optimized for observability workloads
Getting Started¶
For more information about Enterprise Cloud or Enterprise Self-Hosted solutions, please contact our sales team.