coredns/deployment

Scripts, utilities, and examples for deploying CoreDNS.

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coredns/deployment has 550+ stars and 500+ forks on GitHub, is written in Shell, and was last pushed on Nov 10, 2025. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 14 minutes ago
Added to GitGenius on October 15th, 2026
Created on February 22nd, 2017
Open Issues & Pull Requests: 2 (+0)
GitHub issues: Enabled
Number of forks: 521
Total Stargazers: 571 (+0)
Total Subscribers: 14 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 5.8 days
Mean response time: 307.7 days
90th percentile: 860.8 days
Tracked items: 7

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Detailed Description

CoreDNS Deployment is a collection of scripts, utilities, and examples for deploying CoreDNS across different environments.

The repository addresses the practical challenge of getting CoreDNS running on various systems by providing pre-built deployment methods rather than requiring manual compilation and configuration. It offers Debian package building through dpkg-buildpackage, which handles binary creation for multiple architectures and sets up the necessary system user and configuration file during installation. For Kubernetes environments, the project points to a separate Helm chart repository that provides templated deployment manifests.

Developers should choose this repository if they need to deploy CoreDNS on Debian-based systems or Kubernetes clusters. The Debian approach suits operators who want to package CoreDNS as a system service with standard package management, while the Helm integration serves those running Kubernetes. The repository's value lies in eliminating the need to write deployment scripts from scratch, though users requiring highly customized deployments may need to modify the provided templates.

The project maintains shell scripts and configuration files that support multiple CPU architectures and allow environment variable overrides for version control during builds. The repository includes working examples and utilities that demonstrate deployment patterns across its supported platforms.