Flexible deployment architecture and application scenarios
LangWatch has designed a multi-tiered product form to accommodate different scales of usage. The development version provides a complete local runtime solution that packages all dependent components (including PostgreSQL database, Redis cache and OpenSearch engine) through Docker containers, and developers can quickly start the full set of services based on the pre-built Docker Compose configuration. Optional for enterprise users:
- Cloud Hosting Services: Platform-managed SaaS solution that eliminates the burden of infrastructure operations and maintenance
- Private deployment: Provide commercially supported self-hosted solution to meet data segregation requirements
- hybrid architecture: Local processing of sensitive data working in tandem with cloud-based services
The platform is especially optimized for large-scale data processing, supporting distributed task scheduling and batch processing mode, and capable of handling millions of assessment samples. The self-hosted solution includes a detailed export interface for monitoring metrics, which can be integrated with an enterprise's existing operation and maintenance system.
This answer comes from the articleLangWatch: A Visualization Tool for Monitoring and Optimizing LLM Processes Based on the DSPy FrameworkThe
