4 रिपॉजिटरी
Mechanisms to isolate service instances within specific execution flows to prevent data leakage.
Distinct from Dependency Scoping: Focuses on preventing data leakage between different concurrent execution flows (e.g. requests) rather than just module-level visibility.
Explore 4 awesome GitHub repositories matching devops & infrastructure · Execution Context Isolation. Refine with filters or upvote what's useful.
Effector is a reactive state management library designed for building complex, event-driven applications. It functions as a data flow engine that models application logic as a directed acyclic graph, ensuring that state updates propagate automatically through interconnected nodes. By utilizing atomic state updates and declarative unit composition, the library maintains data consistency and provides a predictable execution model for managing application state. The project distinguishes itself through its framework-agnostic architecture, which decouples business logic from user interface implem
Scopes state and effects to specific execution contexts to support parallel testing and server-side rendering.
TypeDI is a TypeScript dependency injection container and inversion of control tool. It functions as a centralized registry and service locator that manages object instantiation and decouples component dependencies using type inference and decorators. The project provides scoped dependency management to isolate service instances within specific contexts, preventing data leakage between different execution flows. It supports flexible service resolution through the use of type-safe tokens and the ability to map unique identifiers or class constructors to specific service instances. The contain
Provides scoped dependency management to isolate service instances within specific contexts and prevent data leakage between execution flows.
Liteflow is a component-based rule engine and workflow orchestrator used to define business logic through a chain of reusable components. It utilizes a structured data language to map logic paths, functioning as a dynamic workflow engine for managing sequences of synchronous and asynchronous tasks. The project is distinguished by its support for hot deployment, allowing rule definitions and execution logic to be updated in real time without restarting the application. It also features a multi-language scripting engine that embeds external scripts into business rules to enable flexible logic c
Maintains separate data environments for each workflow instance to prevent state leakage during concurrent execution.
Workflow is a platform for executing long-running, stateful processes that automatically persist progress and recover state after system interruptions. It functions as a durable orchestration engine designed to manage complex, multi-step asynchronous operations within distributed systems. The framework distinguishes itself through event-sourcing and checkpointing mechanisms that record execution steps as an immutable log, allowing for precise state reconstruction after failures. It provides sandboxed task isolation to run side-effect-heavy logic in restricted environments, ensuring that sensi
Isolates sensitive logic within specific execution flows to prevent unintended interference between components.