Open-source alternatives to Polly

Ribbon is a client-side load balancer and RPC communication library designed for inter-process communication. It functions as a fault-tolerant network proxy that distributes outgoing network requests across a pool of available server instances to prevent node overload. The project integrates as a service discovery client, maintaining synchronized lists of available server instances by connecting with cloud environment discovery tools. This allows it to manage request retries and failover behavior when remote servers become unresponsive. The library supports a protocol-agnostic transport laye

Resty is a high-level HTTP client library for Go designed for consuming REST services. It provides a streamlined interface for executing network requests, managing server-sent event streams, and automatically mapping JSON and XML responses into data structures. The library includes built-in mechanisms for service resilience and traffic management, such as circuit breakers to prevent cascading failures, token-bucket rate limiting, and automated request retries with exponential backoff. It also features client-side load balancing to distribute outgoing traffic across multiple base URLs and requ

SpringCloud-Learning is an educational project that demonstrates how to build microservices using Spring Cloud, covering the core patterns of service discovery, centralized configuration management, and API gateway routing. The project provides hands-on examples for registering and discovering microservice instances with Nacos, Eureka, or Consul, and for routing external API requests through Spring Cloud Gateway with support for filters and load balancing. The tutorials explore service resilience through circuit breakers and rate limiting with Sentinel and Hystrix, including custom fallback l

This project is a reference implementation of microservices architectures using the Spring Cloud ecosystem. It provides a set of example services that demonstrate the construction of distributed systems through automated service discovery, dynamic routing, and shared configuration. The implementation covers core distributed patterns, including a service discovery system for tracking network components and an API gateway for orchestrating incoming traffic. It features a centralized configuration manager to propagate application settings across multiple instances and a distributed tracing syste

Finagle is a distributed service mesh and fault-tolerant remote procedure call framework. It provides a protocol-agnostic network library that implements a consistent interface for different network standards, including HTTP and Thrift. The project distinguishes itself by integrating a fault tolerance library that prevents cascading failures through circuit breaking and timeout management. It also implements a distributed tracing system to track requests across network boundaries and visualize call graphs. The framework covers several core capability areas, including dynamic service discover

This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency design, distributed systems, and microservices architecture. It provides detailed strategies for decomposing monolithic applications, managing service discovery, and implementing the architectural patterns required for scalable backend environments. The repository distinguishes itself through an extensive collection of big data algorithmic references and database scaling strategies. It covers memory-efficient techniques for analyzing massive datasets, such as Top-K element extrac

Moleculer is a Node.js microservices framework designed for building distributed systems. It functions as a distributed service broker, task orchestrator, and service mesh framework, enabling a decentralized architecture with built-in service discovery and load balancing. The project differentiates itself through a pluggable transport layer supporting protocols such as NATS, Redis, TCP, and Kafka, as well as a dedicated microservices API gateway that maps external HTTP and WebSocket requests to internal service actions. It includes built-in fault tolerance mechanisms, including circuit breake

This project is a service mesh platform designed to manage, secure, and observe service-to-service communication within Kubernetes clusters. It functions as a control plane that orchestrates transparent sidecar proxies, which intercept and manage network traffic to provide reliable connectivity for microservices. By automating the injection of these proxies, the platform ensures that infrastructure-level policies are applied consistently across all workloads without requiring manual configuration changes. The platform distinguishes itself through its focus on zero-trust security and cross-clu

This is a Go library providing a framework for managing repetitive task execution and implementing exponential backoff strategies. It serves as a concurrency tool designed to prevent system overload during failures by retrying operations with increasing delays. The project implements a retry strategy framework that manages attempt limits and timeouts during unstable network or system calls. It specifically provides an implementation of the exponential backoff algorithm to handle failing operations. The library covers reliability patterns for mitigating transient failures and service outages,

FluentValidation is a strongly-typed data validation library for .NET. It functions as a rule engine and input validation framework used to define and execute complex business rules and constraints for data objects. The library utilizes a fluent interface API, allowing the construction of readable and declarative validation constraints through method chaining. It leverages generics and lambda expressions to enforce data integrity and business logic at compile time. The project covers the enforcement of business rules, strongly-typed data validation, and input sanitization workflows to verify

REST/JSON API to the Burp Suite security tool.

AutoMapper is a .NET object-to-object mapper designed to transfer data between different object types. It functions as an automated mapping library that reduces the need for manual property assignments by using naming conventions to match properties between classes. The library focuses on automating data projection and the conversion of internal domain models into data transfer objects. It supports layered architecture decoupling by mapping data between domain entities and view models. The system employs convention-based member matching, flattening-based property projection, and recursive ty

This project is a comprehensive educational repository designed to help developers master the core mechanics, runtime behaviors, and browser-native capabilities of the JavaScript language. It provides a structured knowledge base that covers fundamental language features, such as prototype-based inheritance and event-loop-based concurrency, alongside advanced topics like JIT-compiled execution and memory management. The repository distinguishes itself by offering deep-dive technical guides that bridge the gap between abstract language concepts and practical browser implementation. It features

Horizon is a background job orchestrator and worker manager for Redis queues. It provides a monitoring dashboard to track job throughput, wait times, and failure rates, alongside a system for managing job retries, execution timeouts, and worker distribution. The project distinguishes itself through a Redis-backed monitoring interface that identifies system bottlenecks and a queue alerting system that sends notifications when background job wait times exceed defined thresholds. Worker processes are managed via version-controlled configuration files to ensure consistent balancing and scaling ac

Bee-queue is a Node.js background processing system that uses Redis for job queueing and persistence. It is designed to offload heavy tasks from the main execution thread to background workers to maintain application responsiveness. The project provides distributed job processing, allowing worker nodes to run across multiple processes to handle large volumes of tasks concurrently. It ensures reliable task execution through automatic retries and the recovery of stalled processes. Its capability surface covers asynchronous task scheduling for delayed jobs, concurrency control for worker nodes,

This project provides a collection of architectural blueprints and design patterns for building, deploying, and scaling machine learning systems in production environments. It serves as a comprehensive reference for standardizing the end-to-end lifecycle of machine learning components, including training pipelines, model serving, and system observability. The framework distinguishes itself by offering standardized strategies for managing complex operational requirements such as asynchronous inference, traffic routing, and service decoupling. It covers a wide range of patterns for model servin

Zuul is an API gateway service that manages incoming network traffic to backend services. It serves as a routing layer and edge security proxy that provides centralized control over security and monitoring for microservices. The project implements a dynamic request router that maps incoming paths to backend locations using configurable rules that can be updated at runtime. It also includes a circuit breaker implementation to monitor backend failure rates and stop traffic to failing services to prevent cascading outages. The gateway provides a filter-based request pipeline for processing traf

Akka is an actor model framework and distributed systems platform used to build concurrent and distributed applications. It provides a toolkit for managing multi-threaded state and behavior through asynchronous message passing, allowing developers to create concurrent applications without manual locks or synchronization. The system functions as a cluster management and event sourcing framework, automating the scaling and coordination of high-availability clusters. It enables the deployment of elastic services that coordinate workloads across multiple network nodes and ensures fault tolerance

SeaTunnel is a distributed data integration engine designed to synchronize structured and unstructured data across diverse sources and sinks. It functions as a multi-engine execution framework that can run data integration tasks across different distributed computing backends to optimize workload performance. The project is distinguished by a visual data pipeline designer for configuring workflows without manual code and a specialized change data capture tool for streaming incremental database updates. It also includes an enrichment pipeline that integrates large language models and embedding

This project provides educational materials and courseware focused on the theoretical and practical foundations of distributed systems design. It serves as a comprehensive curriculum covering the disciplines of consensus, data consistency, reliability engineering, and scalability. The instructional content focuses on achieving cluster agreement through consensus algorithms and managing system-wide state via coordination frameworks. It includes a dedicated guide to data theory, exploring replication strategies, consistency models, and data convergence. The courseware covers a broad capability

This repository is a learning resource and collection of hands-on exercises illustrating cloud-native architecture, microservice composition, and container design patterns for distributed environments. It provides implementation blueprints demonstrating sidecar, adapter, and ambassador patterns for applications deployed within Kubernetes containers. The materials cover traffic management capabilities such as routing requests through proxy containers, splitting traffic between production and experimental servers, enforcing rate limits, and isolating failing services using circuit breakers. Add

Failsafe is a JVM resilience library providing a collection of fault tolerance patterns for Java applications. It functions as an asynchronous execution wrapper that runs tasks in the background and returns futures to prevent thread blocking. The library allows for the composition of resilience policies, enabling multiple patterns to be stacked into a sequential pipeline. It includes specific implementations for circuit breaking to prevent system overload, rate limiting to control traffic flow, and a framework for managing retries and fallbacks. Capability areas cover traffic management thro

protoactor-go is a framework for building concurrent and distributed systems in Go using the actor model. It provides a distributed actor system that enables isolated entities to communicate via asynchronous messaging and share state across a cluster. The framework implements a multi-language actor protocol, allowing interoperability between actors written in Go, C#, and Java. It further supports a virtual actor implementation, where actors are automatically instantiated across a network based on a unique identity. The system includes a supervision model for managing actor lifecycles and fau

Apache Storm is a distributed stream processing framework and real-time data processing engine. It functions as a fault-tolerant distributed computing system designed to analyze data in motion across a cluster of machines for continuous stream computation. The system enables the creation of fault-tolerant data pipelines and scalable event processing by distributing workloads across a network of computing nodes. This architecture ensures low latency and high throughput for live data while allowing the system to recover automatically from individual node failures. The framework provides capabi

Hazelcast is a distributed data platform that combines an in-memory data grid with a stream processing engine to support real-time analytics and event-driven applications. It functions as a partitioned, distributed key-value store that replicates data across cluster nodes to provide low-latency access and high availability. The platform also serves as a distributed SQL query engine, allowing users to execute standard SQL statements against both in-memory datasets and external data sources. What distinguishes Hazelcast is its use of a distributed consensus subsystem to maintain strongly consis

Hyperf is a high-performance PHP coroutine framework designed for building microservices and middleware. It utilizes non-blocking coroutines to handle high concurrency and low-latency request processing, providing a foundation for scalable distributed systems. The framework is distinguished by an aspect-oriented programming based dependency injector that enables pluggable components and meta-programming. It includes a coroutine-optimized object-relational mapper with integrated model caching and an orchestration toolkit for microservice governance, featuring service discovery, circuit breaker

Dynamo is a distributed inference orchestration platform designed for large language models. It functions as a system to coordinate prefill and decode phases across GPU nodes, utilizing a multi-backend runtime adapter to connect engines like vLLM and TensorRT-LLM through a unified block-oriented memory interface. An OpenAI-compatible API server provides the frontend for integration with existing tools and clients. The project is distinguished by its disaggregated serving architecture, which separates prompt processing and token generation onto independent GPU pools to optimize throughput and