This whitepaper outlines the design decisions and performance architecture behind AzothSolver’s approach to CoW Protocol auctions. It covers everything from latency-critical infrastructure and solver mechanics to roadmap milestones and benchmarking goals. If you’re evaluating solver architectures or studying CoW Protocol performance strategies, this document provides deep technical insight.
Abstract
AzothSolver is a performance-focused solver implementation for CoW Protocol, built with Frankfurt-based bare metal infrastructure and optimized for sub-millisecond execution latency. This document outlines the system’s technical architecture, development approach, and roadmap toward integration with CoW Protocol's shadow competition environment.
1. Technical Challenge
CoW Protocol's batch auction system creates a competitive environment where solver performance directly impacts settlement efficiency and user outcomes. Success requires optimizing these key areas:
- Infrastructure Latency: Network round-trip time to CoW Protocol infrastructure significantly impacts bid submission timing and settlement opportunities.
- Routing Efficiency: Advanced pathfinding algorithms that can identify optimal settlement paths within the auction's time constraints.
- System Reliability: Consistent performance under varying network conditions and order volumes.
2. Technical Implementation
Infrastructure Architecture
- Location: Frankfurt-based bare metal server optimized for sub 5ms latency to CoW Protocol endpoints.
- Operating System: Ubuntu 24.04 with real-time kernel patches for predictable scheduling.
- Networking: DPDK-based packet processing with kernel bypass for reduced latency variance.
- Node Setup: Local node infrastructure for direct blockchain state access and transaction broadcasting.
Software Stack
- Core Language: Rust for performance-critical components with memory safety guarantees.
- Pathfinding: Custom graph algorithms optimized for CoW Protocol's batch auction constraints.
- Monitoring: Comprehensive telemetry for latency analysis and performance optimization.
- Testing: Extensive simulation framework for algorithm validation before deployment.
3. Development Team
AzothSolver is being developed by an experienced infrastructure engineer with a background in high-performance systems:
- Lead Developer: Self-taught engineer with previous experience building and operating large-scale crypto mining infrastructure, cross-chain messaging protocols, and Web3 educational curricula for European institutions.
- Approach: Solo development with focus on deep technical understanding and iterative improvement based on real performance data.
4. System Specifications
| Component | Specification |
|---|---|
| Hardware | High-performance bare metal server (specs optimized for latency) |
| Operating System | Ubuntu 24.04 + RT kernel |
| Primary Network | Base (Ethereum L2) |
| Monitoring Stack | Prometheus + Grafana + PostgreSQL |
| Execution Environment | Containerized services with custom Rust scheduler |
5. Development Roadmap
Phase 1: Infrastructure Setup (Q3 2025)
- Deploy and configure Frankfurt bare metal server
- Implement monitoring and telemetry systems
- Benchmark latency performance to CoW Protocol endpoints
Phase 2: Core Solver Development (Q4 2025)
- Implement basic solver with AMM routing capabilities
- Connect to CoW Protocol shadow competition environment
- Begin performance data collection and analysis
Phase 3: Algorithm Optimization (Q1 2026)
- Analyze shadow competition performance data
- Implement advanced routing algorithms based on findings
- Optimize for CoW-specific settlement patterns
Phase 4: Network Expansion (Q2-Q3 2026)
- Expand solver capabilities to Ethereum mainnet
- Evaluate additional network opportunities based on CoW Protocol expansion
- Scale infrastructure as needed for multi-network operations
Future Considerations
Long-term development will be guided by:
- Performance data from shadow competition and live operations
- CoW Protocol's roadmap and network expansion plans
- Opportunities for infrastructure optimization and algorithm improvement
- Potential for open-source contributions to the CoW Protocol ecosystem
6. Ecosystem Contribution Roadmap
AzothSolver’s development will contribute to the broader CoW Protocol ecosystem through education, mentorship, and open-source tooling.
Educational Content Pipeline
Phase 1: Documentation (Q4 2025)
- Detailed solver setup tutorials covering low latency infrastructure deployment
- Rust-based solver architecture patterns and best practices
- Real-world benchmarking methodologies and performance analysis
Phase 2: Community Resources (Q1 2026)
- Interactive solver development workshop materials
- Case studies: “From Shadow Competition to Live Solver”
- Performance optimization playbooks with specific CoW Protocol focus
- Video tutorials on advanced routing algorithms and CoW detection
Mentorship & Community Support
New Solver Developer Program
- Code review sessions for shadow competition participants
- Collaborative debugging sessions for common solver development challenges
Community Engagement
- Regular technical blog posts on CoW Protocol forum
- Participation in CoW Protocol governance discussions
- Contribution to CIP (CoW Improvement Proposal) technical discussions
Open Source Contributions
Planned Open Source Components (Q2 2026)
- Generic routing algorithm library optimized for batch auctions
- Latency benchmarking tools for solver infrastructure
- CoW detection algorithms with configurable parameters
- Monitoring and alerting frameworks for solver operations
Infrastructure Templates
- Docker containers for development environment setup
- Performance regression testing suites
Knowledge Sharing Commitments
- Quarterly Reports: Public performance analysis and lessons learned
- Failure Documentation: Transparent sharing of what doesn’t work
- Algorithm Evolution: Open discussion of routing improvements and trade-offs
- Infrastructure Insights: Cost-benefit analysis of different deployment strategies
Success Metrics for Ecosystem Impact
- Number of new solver developers assisted through mentorship
- Adoption of open-sourced components by other solver teams
- Community engagement metrics (forum posts, workshop attendance)
- Educational content reach and feedback scores
Development progress and performance metrics will be shared transparently as we progress through the shadow competition and beyond.
Contact Us
Reach out at azothsolver@gmail.com
Follow us on X - @AzothSolver
Check out our code on GitHub - @AzothSolver