Strata
An enterprise-grade architectural analysis platform designed to mathematically de-risk the transformation of legacy monoliths into modern, distributed microservices.
About The Project
When taking over massive legacy PHP codebases from enterprise clients, the biggest risk is hidden technical debt. Often, components are so deeply entangled they cannot be safely separated. We built Strata as our internal static analysis engine. Instead of manually auditing hundreds of thousands of lines of code, Strata parses the raw Abstract Syntax Trees (AST) and projects the entire codebase into a mathematical Structural Intelligence Graph.
Projects Challenge
The challenge with legacy monoliths is 'structural gravity', meaning highly central nodes or circular dependencies prevent safe decomposition. Manually identifying safe boundaries in a 10-year-old codebase is nearly impossible and highly prone to regression bugs. We needed a tool that could objectively calculate the blast radius of modifying any given file and automatically recommend the safest extraction paths.
Key Features
Strata moves beyond simple linting; it serves as a strategic advisory engine for enterprise architecture.
Structural Intelligence Graph: Maps the entire system topology using advanced graph theory (NetworkX), identifying tightly coupled clusters, global state pollution like rogue session variables, and logical Bounded Contexts.
Modernization Scoring Engine: A mathematical rule engine that assigns data-driven feasibility scores for extracting specific components, removing the guesswork from legacy code refactoring.
Extraction Simulator: An advisory module accessible via an executive Streamlit dashboard that simulates the impact of breaking a dependency before a developer ever touches the code, visualizing the exact blast radius of the change.
Engineering Architecture
Strata is built on strict software engineering principles to ensure deterministic, mathematically verifiable analysis.
Strict Clean Architecture:
The platform enforces a pure, mathematically verifiable domain layer that has zero awareness of the UI or Database. The core scoring algorithms run completely framework-independent, ensuring deterministic graph generation.
Cross-Language AST Bridging:
The Python backend uses a dedicated infrastructure bridge to execute PHP parser subprocesses, piping massive raw AST data via standard streams directly into Python for high-performance processing and network modeling.
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