Codex Monthly Report - August 2023 §
Client §
Milestone: Merkelizing block data §
Milestone: Block discovery and retrieval §
Milestone: Distributed Client Testing §
- Extensive work on log collection/analysis and monitoring
 
- Testing and debugging Codex in continuous testing environment
 
- Major effort to stabilize the Codex client through continuous automated testing
 
Milestone: Async Disc Access & Threading support §
- Tests on sharing thread data with refc
 
- Addressed errorVariable and thread safety issues
 
- Prototype proxy IO threadpool in progress
 
Marketplace §
Milestone: L2 §
- Taiko L2 integration mostly completed, waiting on related fixes
 
Milestone: Reservations and slot management §
- Extensive work on slot reservation and queuing
 
Milestone: Marketplace Sales §
- Cleanup and refactoring of state machine
 
- Added support for loading node’s slots during Sale’s module start
 
Remote auditing §
Milestone: Implement Poseidon2 §
- First pass at an implementation by Balazs
 
Milestone: Refine proving system §
- Extensive thinking around storage proofs and proving systems
 
DAS (Data Availability Sampling) §
Milestone: DHT simulations §
- Implementing a DHT in Python for the DAS simulator
 
- Implemented logical error-rates and delays to interactions between DHT clients
 
Infra §
Milestone: Kubernetes Configuration and Management §
- Moved Dist-Tests cluster to OVH and defined naming conventions
 
- Configured Ingress Controller for Kibana/Grafana
 
- Created documentation for Kubernetes management
 
- Configured Dist/Continuous-Tests Pods logs shipping
 
Milestone: Continuous Testing and Labeling §
- Implemented and configured Dist-Tests labeling
 
- Set up logs shipping based on labels
 
- Improved Docker workflows and added ‘latest’ tag
 
Milestone: CI/CD and Synchronization §
- Set up synchronization by codex-storage
 
- Configured Codex Storage and Demo CI/CD environments
 
Milestone: Monitoring and Metrics §
- Installed Node exporter and Prometheus in Dist-Tests cluster
 
- Updated Grafana Dashboard
 
- Implemented automated metrics scraping
 
Notable Achievements §
- Significant progress in Merkelizing block data, improving the foundation for the proving system
 
- Advancements in block discovery and retrieval, including simulation work
 
- Major improvements in distributed client testing and stability
 
- Successful integration with Taiko L2, expanding the project’s capabilities
 
- Continued development of DHT simulations for Data Availability Sampling
 
Challenges and Next Steps §
- Continue refining the Merkle tree implementation and integration
 
- Further develop and optimize the block discovery and retrieval processes
 
- Enhance the continuous testing environment for improved client stability
 
- Complete the Taiko L2 integration and address any remaining issues
 
- Advance the DHT simulations and DAS implementation
 
- Continue improving infrastructure, monitoring, and CI/CD processes