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CoreDNS - Flexible, Plugin-Driven DNS Server
CoreDNS is a flexible, extensible DNS server written in Go. Its plugin architecture allows for customized DNS functionalities, making it ideal for cloud-native environments like Kubernetes and traditional infrastructure alike.
Go
Added on 2025年7月3日13,131
Stars2,259
ForksGo
LanguageProject Introduction
Summary
CoreDNS is a robust and highly extensible DNS server that distinguishes itself through its plugin-based architecture. Written in Go, it provides a modern approach to DNS, offering great flexibility in configuration and deployment, particularly favored in cloud-native environments.
Problem Solved
Traditional DNS servers often lack the flexibility and extensibility required by modern, dynamic environments, especially in cloud-native deployments. CoreDNS addresses this by providing a modular, configurable platform that can be adapted to diverse use cases.
Core Features
Plugin-based Architecture
Its unique plugin architecture allows users to compose DNS functionalities by chaining plugins, providing high flexibility and customization.
High Performance
Designed for performance and scalability, CoreDNS can handle high volumes of DNS queries efficiently.
Kubernetes Integration
CoreDNS integrates seamlessly with Kubernetes, serving as the default DNS server for cluster service discovery.
Tech Stack
Go
gRPC
etcd
使用场景
CoreDNS's flexible architecture makes it suitable for a wide range of applications beyond traditional DNS serving.
Scenario 1: Kubernetes Service Discovery
Details
Used as the default DNS provider in Kubernetes clusters for service discovery and external name resolution, leveraging specific plugins for Kubernetes integration.
User Value
Provides reliable, scalable, and integrated DNS for microservices within a Kubernetes cluster.
Scenario 2: Edge Computing DNS
Details
Deploying CoreDNS in edge locations or IoT devices to provide local DNS resolution, potentially integrating with local data sources via custom plugins.
User Value
Enables fast, local DNS resolution and customization at the network edge, reducing latency and dependency on central services.
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