Eagle1 System Release Roadmap

[jduan00]

Eagle1 Vision

1. Standard: Establish an open industry standard with open source model.
2. Adoption: Connect most logistics providers worldwide (potential 3M+).
3. Business: Develop a vibrant ecosystem and a sustainable business model.

Release Planning

1. Expect frequent changes and updates to this doc.
2. A general plan to build and improve the product: Eagle 1: One API to connect and standardize global logistics data.
3. System core values: Fast, scalable, and resilient.
4. We will do CI/CD, with frequent code and deployment push updates.

v0.1.1 (Release 2025-07-21)

• Initial prototype
• Proof of concept
• Live data support for FedEx and SF Express
• Standardize logistics data
• Standardized API JSON response
• whereis API and UI working

v0.2 (Release 2025-09-30)

• Robust Code: Refactor the code using AI review to enhance its robustness.
• Improved Readability: Adopt more aesthetically pleasing code styles to improve readability.
• Enhanced Data Mapping: Improve the "Mapping Engine" for smarter data representation (Three Versions of Logistics Data Services #180).
• Comprehensive Error Logging: Implement a comprehensive error logging system to facilitate easier debugging and troubleshooting.
• Automatic Unit Tests: Standardize the testing process to proactively find issues.
• API Gateway: Integrate an API gateway that includes logging and security features.

v0.3 (Release 2025-12-30)

• Simplify architecture to use pglite or sqlite for cloud edge deployment
• Separate API (request process) and worker processes (scheduled work)
• New API endpoint to receive data: /push
• Optimized API performance and reliability
• Stress testing and reliability optimizations

v0.4 (Release 2026-03-30)

• More logistics operator integrations
• Optimized Cloudflare with logging and monitoring
• Issue-finding proactively

v0.5 (Release 2026-05-30)

• API usage billing system

v1.0: Build a solid foundation (Release 2026-07)

Eagle 1: One API to connect and standardize global logistics data.

• Efficient team work with open-source concepts and tools.
• Set standards for API connection and logistics data.
• Built with TypeScript on Deno; deployed on fly.io with postgres db
• API Gateway with logging and security capabilities.
• Billing system charges $0.0x per track.
• End-to-end global requests complete in under 400 milliseconds.
• Cloud-native scalability with fly.io’s global deployment. Perf: Future architecture for deployment v1.0 #178
• Good service availability (>99.95%) with accurate logistics data.

v2.0: Fast and Scalable

• Distributed event-driven architecture (EDA) with core written in Rust.
• Likely Redpanda (events), memcached, and CockroachDB (postgres) as the database layer.
• Logistics data Pull and Push.
• Fast: each global request latency is <200ms end-to-end.
• Scalable: globally distributed.
• Reliable: accurate logistics data and high service availability (>99.99%).
• AI models for data connectivity and analysis.
• AI models for logistics predictions.

v3.0: Connect the world with resiliency

• Build a global resilient network of Eagle1 System cloud service providers (eagle1.network)
• Distributed and resilient globally
• Use blockchain for data sharing within eagle1.network
• Reliable and Resilient: accurate data and high service availability (>99.999%)