30 open-source projects similar to kubernetes/ingress-gce, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Ingress Gce alternative.
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
Encore is a distributed systems framework designed to unify backend development, infrastructure provisioning, and observability. It functions as an infrastructure-as-code platform that allows developers to define cloud resources, databases, and messaging topics directly within their application code. By analyzing these declarations at compile-time, the system automatically manages the deployment of cloud resources and security policies, ensuring parity between local development and production environments. The platform distinguishes itself through its integrated development experience, which
Pangolin is a zero-trust remote access platform designed to provide secure, identity-aware connectivity to private network resources. It functions as a cloud-native network controller that orchestrates encrypted tunnels, traffic routing, and access policies across distributed environments. By leveraging WireGuard for secure data transport, the platform enables authenticated access to internal web applications, terminal sessions, and remote desktops without exposing services to the public internet. The platform distinguishes itself through a declarative infrastructure model that synchronizes n
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
This project is a Kubernetes ingress controller that functions as an API gateway and traffic manager for containerized environments. It operates by monitoring cluster events and translating native ingress resource definitions into active routing configurations, ensuring that external traffic is directed to internal services according to declarative specifications. The controller distinguishes itself through its ability to act as a specialized gateway for artificial intelligence models, providing a secure entry point that enforces rate limits, content moderation, and prompt guardrails. It supp
Easegress is a cloud native API gateway, Kubernetes ingress controller, and service mesh control plane. It serves as a centralized entry point for managing network traffic, providing a dedicated control plane and sidecar data plane to handle the lifecycle and interception of requests between distributed services. The project functions as an AI model gateway that proxies requests to large language model providers and translates request formats for compatibility. It is an extensible proxy that allows for custom request and response handling through a filter pipeline implemented via WebAssembly
The AWS Load Balancer Controller is a Kubernetes controller that automates the provisioning and lifecycle management of cloud-native load balancing resources. It functions as an infrastructure orchestrator, translating declarative cluster configurations into specific requests for external cloud services to route traffic into containerized workloads. By implementing standard ingress and gateway specifications, the system ensures that cluster networking adheres to official industry standards for HTTP, HTTPS, and transport-layer traffic. The controller distinguishes itself through its deep integ
The Gateway API is a standardized set of resources for routing HTTP, gRPC, and TCP traffic into and within Kubernetes clusters. It serves as a framework for defining load balancer listeners and routing rules for both Layer 4 and Layer 7 protocols, acting as a specification for ingress and service mesh traffic interfaces. The project utilizes a role-oriented configuration that separates infrastructure provisioning from routing logic. It implements a class-based provider selection system to match requested infrastructure to specific controller implementations and employs a conformance-driven sp
This project is an API gateway and ingress controller designed to manage traffic, security, and service connectivity within Kubernetes environments. It operates as a controller that monitors cluster state to reconcile gateway configurations with desired infrastructure definitions, ensuring that network policies and routing rules remain consistent across distributed deployments. The system distinguishes itself through a modular request pipeline that allows for the injection of custom logic to handle transformations, security checks, and logging. It supports declarative infrastructure managemen
This project is a Kubernetes deployment guide and infrastructure provisioner designed for hobbyist and home lab environments. It provides a framework for setting up multi-node clusters across various cloud providers and physical or virtual nodes, acting as a self-hosted cluster orchestrator. The project focuses on security hardening and infrastructure stability through specific implementation guides. This includes a framework for network security that covers host firewalls and encrypted network overlays, as well as detailed instructions for configuring ingress routing to manage external publi
BunkerWeb is a containerized suite of infrastructure tools that functions as a cloud-native web application firewall and Nginx reverse proxy. It provides a security layer for web applications, combining traffic routing with automated SSL certificate management and a web-based security dashboard for monitoring and configuration. The project distinguishes itself through its deep integration with container orchestrators, serving as a Kubernetes ingress controller that automates security settings and service discovery via container labels. It features a plugin-based extension model and a manageme
SkyPilot is a multi-cloud AI orchestrator and distributed task scheduler designed to launch and manage AI workloads across various cloud providers, Kubernetes, and Slurm clusters. It functions as an infrastructure-as-code framework that uses declarative files to define resource requirements and setup commands for consistent execution across different environments. The project differentiates itself through automated cost optimization, selecting the most affordable GPU or TPU hardware and managing spot instances to reduce expenses. It also provides a remote development environment that bridges
Runtipi is a home server dashboard and orchestration tool designed for deploying and managing containerized applications. It provides a web-based interface for discovering and installing software from a curated app store, utilizing a Docker Compose orchestrator to handle the deployment of self-hosted services. The system integrates a reverse proxy and SSL manager to route external traffic to internal containers, automating HTTPS certificate renewal and domain assignment. It also features a built-in backup and update manager that uses cron-based scheduling to perform automatic security patchin
Tyk is an open-source API gateway written in Go that routes, secures, and monitors network traffic across REST, GraphQL, TCP, and gRPC protocols. It functions as a multi-protocol proxy designed to deliver requests to backend services while managing the end-to-end API lifecycle. The system distinguishes itself through a plugin-based architecture that allows for the injection of custom logic into the request and response middleware chain. It also features native Kubernetes integration, operating as an ingress controller that uses operators and custom resource definitions to deploy security poli
Pipeline is a Kubernetes native CI/CD framework and cloud native pipeline orchestrator. It functions as a custom resource controller that translates declarative pipeline definitions into coordinated pod executions and managed workloads. The system acts as a containerized task runner, allowing for the execution of standalone build steps and reusable tasks that process specific inputs to produce defined outputs. It enables the orchestration of complex workflows by running a sequence of independent containers as modular components within a cloud environment. The platform covers automated softwa
kops is a Kubernetes cluster provisioner and lifecycle manager designed to automate the creation, maintenance, and destruction of production-grade clusters on cloud infrastructure. It functions as a declarative infrastructure manager, synchronizing the live state of a cluster with versioned manifests stored in remote object storage to ensure idempotent operations. The project distinguishes itself by offering comprehensive automation for the entire cluster lifecycle, including high-availability control plane deployment, incremental rolling updates, and automated version upgrades. It also serve
This project is a reference library and collection of example code patterns for deploying cloud infrastructure using the AWS CDK. It provides a set of sample projects that demonstrate how to define compute, storage, and networking resources using general purpose programming languages. The library includes reference implementations for various architectural patterns, including serverless backends with GraphQL and WebSocket APIs, container orchestration with load balancers and auto-scaling, and global static website hosting via content delivery networks. It also provides designs for isolated ne
KubeOperator is a comprehensive Kubernetes cluster management platform, infrastructure orchestrator, and multi-cluster manager. It functions as an enterprise Kubernetes distribution designed to automate the deployment, scaling, and lifecycle management of production clusters across diverse cloud platforms and physical machines. The platform distinguishes itself with specialized capabilities for air-gapped environments, including an offline installation engine that generates software archives and manages private registries for secure, non-internet deployments. It also provides a centralized da
Boto is a Python SDK and API wrapper for Amazon Web Services. It serves as a programmatic interface for managing and automating cloud infrastructure, mapping cloud-side resources to native Python objects and methods. The library provides tools for the programmatic control and orchestration of compute, storage, networking, and database resources. It enables the automation of infrastructure deployments and the management of virtual servers, container services, and serverless functions. Capability areas include identity and access management, cloud monitoring and observability, and the administ
Meshery is a service mesh management plane and cloud native infrastructure orchestrator. It provides a visual design-as-code environment for modeling microservices and infrastructure components through declarative blueprints, functioning as a centralized platform for designing, deploying, and managing service mesh infrastructure. The platform is distinguished by its ability to translate visual designs into active deployments and its use of gRPC-based adapters to integrate with diverse infrastructure providers. It features a multi-tenant architecture that manages shared workspaces and role-bas
Pulumi is an infrastructure-as-code framework that enables the definition, deployment, and management of cloud resources using general-purpose programming languages. It functions as a cloud resource orchestrator that coordinates the lifecycle of heterogeneous infrastructure by executing code to construct dependency graphs and reconciling the desired state against actual cloud environments. The platform distinguishes itself through a language-host runtime bridge that allows developers to use standard programming languages to define infrastructure, rather than relying solely on domain-specific
x-cmd is an AI agent orchestrator, cloud infrastructure CLI, and cross-platform package manager that provides an enhanced POSIX shell toolkit. It integrates large language models directly into the terminal for chatting, code generation, and the execution of agentic workflows, while offering a framework for building interactive terminal user interface components. The project distinguishes itself by deploying containerized AI agents within isolated sandboxes, provisioning them with specialized skills and headless browser automation capabilities. It further streamlines development through a unif
The Operator SDK is a framework for building, packaging, and managing custom controllers that extend the Kubernetes API. It serves as a toolset for defining new API types and implementing reconcile loops to automate the lifecycles of complex applications. The project provides specialized support for creating operators based on Helm charts or Ansible playbooks, allowing users to maintain a desired cluster state using existing automation tools. It includes a dedicated system for packaging controllers into standardized container image bundles for distribution via the Operator Lifecycle Manager.
The AWS Cloud Development Kit is an infrastructure-as-code framework that enables developers to define and provision cloud resources using familiar programming languages. By utilizing construct-based synthesis, it translates high-level, object-oriented code into declarative templates, allowing for the automated management of complex cloud environments through a centralized, code-driven control plane. The framework distinguishes itself through its ability to model infrastructure as a dependency-aware resource graph, ensuring that components are provisioned and updated in the correct order. It
Prefect is a workflow orchestration platform designed to define, schedule, and monitor complex data pipelines as Python code. It functions as a container-native engine that wraps individual tasks in isolated environments, ensuring consistent dependencies and resource allocation across diverse infrastructure. By utilizing a state-machine-based orchestration model, the system tracks execution progress through discrete transitions and persistent event logs to maintain reliable and observable task processing. The platform distinguishes itself through a decoupled worker-API architecture, which sep
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
This project is a Kubernetes controller that automates the management of public-facing network resources and secure ingress connectivity. It functions by observing custom resource definitions to reconcile the desired state of network traffic with the actual configuration of internal services. The controller manages network connectivity by establishing secure outbound tunnels, which eliminates the requirement for traditional inbound firewall ports or port forwarding. It integrates directly with external cloud management interfaces to automate the lifecycle of these tunnels and synchronize doma
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
Higress is an AI-native and cloud-native API gateway that routes, secures, and optimizes traffic between clients and large language model services. It functions as a centralized entry point for microservices, serving as both a Kubernetes ingress controller and an AI gateway orchestrator. The project distinguishes itself by managing traffic across multiple AI providers using a unified protocol, incorporating token-aware rate limiting and response caching to optimize model inference. It coordinates communication between AI models and external tools to provide real-time context and data, while a
This project is a set of deployment tools for initializing and configuring local Kubernetes environments specifically within Docker Desktop for Mac and Windows. It functions as a local cluster bootstrapper that installs essential components including the Kubernetes dashboard, ingress controllers, and the Istio service mesh. The toolkit includes a container image mirroring system that remaps registries to mirrors, allowing the environment to bypass network restrictions and accelerate image pulls during the bootstrapping process. Broad capabilities cover microservices environment setup, includ