Projects sharing features with Kubernetes Ingress

Cerbos is an open-source authorization service that provides a centralized, language-agnostic engine for managing access control. It functions as a policy-as-code platform, allowing teams to define, test, and distribute authorization rules using declarative YAML or JSON configurations. By decoupling access logic from application code, it enables consistent permission enforcement across diverse service stacks. The project distinguishes itself through its ability to translate high-level authorization policies into native database query filters. This capability allows applications to enforce sec

This project is a Kubernetes Ingress Controller that functions as a layer 7 traffic router and NGINX reverse proxy. It serves as a secure network gateway, directing external HTTP and HTTPS traffic to backend services within a cluster based on declarative routing rules. The controller acts as a TLS termination gateway to secure traffic and integrates with Prometheus to expose request metrics and latency data for cluster monitoring. It supports canary deployment workflows by implementing weight-based traffic splitting between different versions of a service. The system manages external access

This repository is a technical documentation site and a collection of guides and references for implementing networking, security, and cloud infrastructure services. It functions as a static-site generated portal and a headless content platform, separating source files from the presentation layer to enable flexible rendering. The project utilizes markdown-based documentation stored in a version-controlled Git repository. It provides specialized technical content including an AI platform documentation for building agents and managing inference, a cloud infrastructure guide for DNS and CDN conf

Sozu is a high-performance, memory-safe reverse proxy and load balancer built in Rust. It is designed to manage HTTP, TCP, and UDP traffic through a multi-process architecture that leverages isolated worker processes to ensure fault tolerance and efficient resource utilization across multi-core hardware. The project distinguishes itself through a focus on continuous availability and dynamic control. It features a unique binary hot-reloading mechanism and a Unix-socket-based control plane, allowing administrators to update proxy configurations, modify listener settings, and even replace the pr

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

This project is a Kubernetes ingress controller that manages external traffic by dynamically configuring the HAProxy load balancer. It functions as a bridge between cluster resources and the network data plane, translating high-level ingress definitions into active proxy configurations to route HTTP, TCP, and UDP traffic into containerized environments. The controller distinguishes itself through a decoupled architecture that separates control plane logic from the proxy process, allowing for independent lifecycle management and versioning. It utilizes template-based configuration generation a

HAProxy is a high-performance TCP and HTTP proxy that distributes traffic across multiple backend servers to ensure availability and fault tolerance for critical services. It operates in either TCP or HTTP mode, with an event-driven, single-threaded reactor that handles tens of thousands of connections without context switching, and supports kernel-level data transfer to minimize memory usage and latency. What distinguishes HAProxy is its configuration-file-first design, where all load-balancing rules and runtime behavior are defined in a declarative text file parsed at startup. It embeds a L

This project is a Kubernetes controller that automates the issuance, renewal, and lifecycle management of TLS certificates. It functions as a native extension to the cluster API, using custom resource definitions and reconciliation loops to maintain the desired state of certificates and trust bundles across distributed services. By integrating directly with the cluster's admission control and secret storage systems, it ensures that cryptographic identities are consistently provisioned and available for application workloads. The project distinguishes itself through its extensive support for a

Kruise is a workload management system designed for large-scale applications on Kubernetes. It provides a framework for advanced orchestration, scaling, and upgrade strategies to maintain stability in massive deployments. The project is distinguished by its ability to perform in-place updates of container images and resource limits without deleting and recreating pods. It includes a dedicated image pre-puller to accelerate pod startup and a sidecar injector to dynamically manage the lifecycle of sidecar containers. Additionally, a resource distributor synchronizes configuration maps and secre

This project is an integration framework that bootstraps Apache Dubbo remote procedure call services within Spring Boot applications. It serves as a microservice communication framework that enables the implementation of RPC services, service discovery, and distributed governance through automated configuration. The project distinguishes itself by providing a cross-language RPC bridge, allowing services written in different languages to communicate via standards such as gRPC and Protobuf. It further enables the exposure of backend microservices as REST endpoints using the Triple protocol for

This project is a high-performance, distributed API gateway designed to manage, secure, and observe traffic for microservices, serverless functions, and artificial intelligence model providers. It functions as a dynamic service proxy and cloud-native ingress controller, centralizing policy enforcement and traffic routing through a unified configuration interface that synchronizes state across multiple nodes in real time. The platform distinguishes itself through a highly extensible architecture that utilizes a high-performance scripting engine to execute modular logic directly within the requ

Temporal is a distributed workflow orchestration engine designed to manage fault-tolerant, stateful, and long-running background processes. It functions as a platform for coordinating complex cross-service operations, ensuring consistency and reliability in distributed environments by decoupling workflow orchestration from task execution. The platform distinguishes itself through a deterministic, event-sourced execution model that reconstructs workflow state by re-executing code from an immutable event log. This approach isolates non-deterministic side effects into managed activities, allowin

Uptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r

Higress is an AI API gateway and cloud-native traffic manager that functions as a Kubernetes ingress controller. It provides a centralized system for routing, securing, and optimizing traffic directed toward large language models, AI agents, and microservice architectures. The project distinguishes itself through deep AI orchestration, including the ability to host and manage Model Context Protocol servers that transform REST APIs into tools for AI agents. It features specialized AI infrastructure for model request proxying, protocol translation across multiple providers, and semantic-based c

Quarkus is a Kubernetes-native Java framework designed for building high-performance, memory-efficient applications. It utilizes ahead-of-time native compilation to transform Java code into standalone, optimized binaries that eliminate the need for a virtual machine, enabling rapid startup and reduced memory consumption. By performing code augmentation during the build phase, it shifts heavy processing tasks away from runtime, ensuring that applications are optimized for cloud-native environments. The framework distinguishes itself through a unified approach to reactive and imperative program

ZenML is an extensible machine learning orchestration framework designed to manage the end-to-end lifecycle of data pipelines and AI agent workflows. It functions as a durable orchestrator that executes machine learning tasks as directed acyclic graphs, ensuring that every step is containerized for consistent performance across local, cloud, and hybrid infrastructure. By decoupling pipeline code from underlying compute and storage backends, the platform allows developers to define infrastructure-agnostic stacks that remain portable across diverse environments. The project distinguishes itself

This project is a web-based management interface designed for the administration, monitoring, and configuration of Nginx server instances. It functions as a centralized platform for managing reverse proxy settings, traffic routing, and server lifecycles, providing a visual dashboard to replace manual configuration file editing. The platform distinguishes itself through integrated infrastructure automation and observability tools. It supports distributed environments by synchronizing configuration states across multiple nodes and containerized services, while offering artificial intelligence a

ExternalDNS is a controller that automatically synchronizes Kubernetes resource states with external DNS providers. It monitors cluster resources such as services, ingresses, and gateway APIs to dynamically create and update DNS records, enabling automated service discovery and external traffic management. The project features a provider-agnostic interface that supports a wide array of cloud-managed vendors and on-premises providers, as well as an extension system for custom providers via webhooks and sidecars. It implements a reconciliation loop that uses resource annotations and custom reso

Synapse is a Matrix homeserver implementation that provides the infrastructure for decentralized, real-time communication and messaging. It functions as a federated chat server that synchronizes room data and event streams across independent server instances to enable cross-domain interoperability. The server utilizes a hybrid core that integrates performance-critical logic in Rust with a Python orchestration layer. It employs a PostgreSQL relational database for persisting user accounts and conversation history, and uses a Redis-based messaging system to distribute tasks across horizontal wo

chezmoi is a command-line utility designed to manage and synchronize system configuration files across multiple machines. It uses a local Git repository as the single source of truth, allowing users to track, version, and distribute dotfiles while maintaining a consistent state across diverse operating systems and hardware architectures. The project distinguishes itself through a declarative reconciliation model that computes the difference between the current filesystem and the desired state defined in the repository. It features a robust templating engine that processes configuration files

Sglang is a high-performance inference engine and serving system designed for large language and multimodal models. It provides a programmable interface for orchestrating complex generation workflows, enabling developers to coordinate multi-turn dialogues, tool invocations, and reasoning chains through a domain-specific language. The platform is built to support production-scale deployments, offering an OpenAI-compatible API that allows for integration with existing application ecosystems. The system distinguishes itself through a disaggregated architecture that separates compute-intensive pr

This project is a comprehensive library of reference implementations and patterns for building web applications using the Go Fiber framework. It provides curated templates and implementation guides for creating REST APIs, web servers, and structured backend services. The repository serves as a practical resource for applying architectural patterns, including Clean and Hexagonal architectures, as well as port-and-adapter decoupling. It offers detailed examples for integrating common web features such as OAuth2 authentication, JWT verification, WebSockets for real-time communication, and server

VeryNginx is a Lua-based Nginx extension and programmable web application firewall. It provides a management control panel and a traffic monitoring dashboard to configure server settings and analyze request statistics without manual configuration file edits. The project implements a programmable security layer to filter malicious traffic and block common web attacks, such as SQL injection and directory traversal. It includes tools for bot traffic restriction through request rate limiting and browser identity verification. The system covers traffic management via URI routing and redirection,

Dotbot is a dotfile installation manager and environment setup automator designed to deploy configuration files from a repository to a local system. It functions as a symlink deployment utility and templated configuration engine, using a combination of symbolic links and custom directives to synchronize settings across machines. The project enables the automation of dotfile deployment through a shell-based configuration bootstrapper. It supports the synchronization of application profiles and the rendering of dynamic configuration files from templates before they are deployed to the filesyste

KServe is an open platform for deploying and serving generative and predictive AI models on Kubernetes. It defines inference services as custom resources with declarative YAML specifications, enabling a Kubernetes-native approach to model deployment and lifecycle management. The platform leverages Knative-based serverless scaling for automatic scale-to-zero and revision management, and supports a pluggable serving runtime architecture that maps model formats to containerized execution environments. KServe distinguishes itself through model-aware autoscaling that scales replicas based on token

This project is a collection of specialized HTTP servers designed for static file hosting, secure file uploads, and encrypted web traffic. It provides implementations for delivering local files and directories over HTTP and HTTPS, including support for index pages and single-page application routing. The software differentiates itself through dedicated server roles, including a secure file upload server with size limits and token validation, and an HTTPS web server that utilizes PKCS#12 certificates for TLS encryption. It also includes a specialized gateway for managing cross-origin resource

This project is a public key infrastructure management system designed to automate the issuance, renewal, and revocation of X.509, TLS, and SSH certificates. It functions as a machine identity provider and certificate authority, enabling the establishment of private PKI to secure inter-service communication and remote access. The system distinguishes itself through hardware-bound identity attestation, which ties cryptographic keys to physical device silicon or TPMs to prevent credential exfiltration. It supports a wide array of identity verification mechanisms, including OIDC, cloud-provider