Zadig streamlines product delivery by offering a comprehensive version management and release process that guides engineers through creating versions, configuring environments, and executing production deployments for both K8s YAML and Helm Chart projects, enhancing transparency, control, and risk reduction.
This guide walks you through adding a Gitee code source to Zadig, configuring a microservice-demo project with Vue.js frontend and Golang backend, setting up services, builds, environments, workflows, and automatic triggers to achieve end‑to‑end continuous delivery on Kubernetes.
GitOps, introduced by WeaveWorks in 2017, treats application configurations as code stored in Git, enabling versioned, automated, and standardized deployments, with two main strategies—Push and Pull—each offering distinct advantages, and Zadig’s implementation showcases practical automation for code, environment, and service changes.
This guide explains how to use Zadig’s cloud‑native continuous delivery platform to deploy a sample vm‑microservice‑demo project, covering two connection methods—direct host deployment and jump‑box (bastion) deployment—including host configuration, project and service setup, build and deployment scripts, and workflow automation.
Zadig Toolkit, a VS Code extension from KodeRover, lets developers view and manage Zadig environments, restart services, switch images, debug remotely, and sync code without committing or building images, providing step‑by‑step guidance on installation, configuration, remote debugging, and service inspection.
This comprehensive guide walks you through installing, configuring, and upgrading the cloud‑native continuous delivery platform Zadig—including MySQL setup, Helm chart deployment, GitLab integration, environment and pipeline management, and optional SonarQube code scanning—providing practical commands and screenshots for end‑to‑end implementation.
This guide explains how to leverage Zadig v1.11.0’s environment self‑test mode to create isolated developer sub‑environments for large‑scale microservice projects, using Istio’s traffic routing and SkyWalking tracing, detailing prerequisite components, configuration of a PiggyMetrics Spring Boot example, and step‑by‑step verification via Kubernetes commands and curl requests.
