johnlui/PPHC
PPHC
PPHC is a technical reference and educational resource for distributed systems engineering. It serves as a textbook and manual for designing high-concurrency architectures and scalable infrastructure.
The project provides detailed guidance on distributed database engineering, covering data storage strategies such as B+ Trees and Log-Structured Merge-Trees. It includes material on distributed transaction management and the implementation of fault-tolerant systems using consensus algorithms and state synchronization.
The resource covers a broad range of system design capabilities, including compute-storage decoupling, shared-nothing architectures, and microservices decomposition. It also provides technical references for network performance optimization through software-defined networking and kernel-bypass packet processing.
Features
- Distributed Systems Engineering Courses - Serves as a technical textbook for distributed systems engineering, focusing on high-performance databases and networks.
- Distributed Systems Textbooks - Serves as a comprehensive textbook and educational resource for designing scalable distributed systems.
- Log-Structured Merge-Trees - Detailed material on Log-Structured Merge-Tree architectures for optimizing write throughput and read efficiency.
- Data Storage - Guides the organization of data using indexing and caching layers for efficient retrieval and persistence.
- Data Storage Optimizers - Provides techniques for implementing memory caches and tiered indexing to increase data retrieval throughput.
- Distributed Databases - Provides a technical reference for implementing distributed database engines including B+ Trees and LSM-Trees.
- Consensus Algorithms - Covers the implementation of consensus algorithms to ensure consistent state synchronization across distributed cluster nodes.
- Storage-Compute Architectures - Provides detailed architectural guidance on decoupling database processing from storage layers to enable independent scaling.
- Storage Engine Internals - Provides comprehensive engineering guidance on building high-performance database storage engines and indexing strategies.
- Scalable Infrastructure Planning - Provides architectural planning for scalable infrastructure, including compute-storage decoupling and domain-driven decomposition.
- Database Engineering Manuals - Technical manual covering the internals of distributed database engineering, including LSM-Trees, B+ Trees, and transactions.
- High-Concurrency Architectural Patterns - Offers detailed guidance on high-concurrency architectural patterns including shared-nothing and microservices decomposition.
- Distributed Systems Architectures - Outlines design principles for building fault-tolerant and scalable distributed systems using consensus and microservices.
- Shared-Nothing Architectures - Explains shared-nothing architectural patterns to eliminate synchronization bottlenecks and enable linear system scaling.
- High-Concurrency Designs - Teaches the design of architectures capable of handling massive traffic spikes through asynchronous processing and load balancing.
- Domain-Driven Decomposition - Offers strategies for partitioning systems into microservices based on business domain cohesion to improve organizational scaling.
- High-Availability Instance Redundancy - Provides guidance on maintaining service continuity through redundancy and failover mechanisms for high availability.
- Network Optimization - Explains how to reduce network latency and increase throughput using load balancers and software-defined networking.
- User-Space Packet Processing - Provides technical references for reducing latency via user-space packet processing and kernel-bypass techniques.
- Two-Phase Commit Protocols - Describes the two-phase commit protocol for coordinating atomic distributed transactions across multiple nodes.
