CDOrg: The Complete Guide to Getting Started

CDOrg: The Complete Guide to Getting StartedCDOrg is a tool (or platform) designed to help teams manage configuration, deployments, and collaboration around continuous delivery and orchestration. This guide walks you through what CDOrg is, why it matters, how to install and configure it, core concepts, common workflows, best practices, and troubleshooting tips to get you productive quickly.

What is CDOrg?

CDOrg is an application that centralizes continuous delivery orchestration. It provides pipelines, environment management, deployment strategies, and observability features to help teams ship software reliably. Think of it as a control plane that coordinates build artifacts, deployment targets, and approval gates so releases happen consistently across environments.

Why use CDOrg?

• Consistency: CDOrg enforces repeatable deployment pipelines so environments stay in sync.
• Speed: Automated pipelines reduce manual steps and accelerate delivery.
• Safety: Built-in approval gates, rollbacks, and strategy options (blue/green, canary) reduce risk.
• Visibility: Dashboards and logs help teams see what’s deployed where and why.

Core concepts

• Pipelines — define the stages (build, test, deploy) and tasks that run.
• Artifacts — build outputs (containers, packages) that move through environments.
• Environments — target clusters or servers (dev, staging, prod).
• Triggers — events that start pipelines (git push, artifact publish, schedule).
• Approvals — manual gates for human verification before critical steps.
• Strategies — deployment patterns like rolling, blue/green, canary.
• Secrets — secure storage for credentials and keys used during deploys.

Quick setup (example)

1. System requirements: a Linux server (Ubuntu 22.04+), 4GB RAM, Docker, and kubectl for Kubernetes targets.
2. Install CDOrg CLI:

   
   curl -sSL https://example.com/cdorg/install.sh | bash 

3. Start the server:

   
   cdorg server start --config /etc/cdorg/config.yml 

4. Log into the web UI at http://localhost:8080 and create your first pipeline.

Example pipeline

Below is a simple pipeline that builds a container, runs tests, and deploys to staging.

pipeline:   name: simple-deploy   trigger:     type: git     repo: [email protected]:yourorg/app.git     branch: main   stages:     - name: build       task:         image: docker:24         script:           - docker build -t registry.example.com/yourorg/app:${COMMIT_SHA} .           - docker push registry.example.com/yourorg/app:${COMMIT_SHA}     - name: test       task:         image: cimg/python:3.11         script:           - pip install -r requirements.txt           - pytest     - name: deploy       when: tests_passed       task:         image: bitnami/kubectl         script:           - kubectl set image deployment/app app=registry.example.com/yourorg/app:${COMMIT_SHA} -n staging 

Best practices

• Use immutable artifacts (tag with commit SHA).
• Separate configuration from code (use env-specific overlays).
• Protect production with manual approvals and stricter RBAC.
• Run tests early in the pipeline to fail fast.
• Use canary releases for risky changes.
• Store secrets in a dedicated secret store and rotate regularly.

Common integrations

• Git providers (GitHub, GitLab, Bitbucket) for triggers.
• Container registries (Docker Hub, ECR, GCR).
• Kubernetes clusters for deployments.
• Monitoring (Prometheus, Grafana) and logging (ELK) for observability.
• Chat integrations (Slack, MS Teams) for notifications.

Troubleshooting tips

• Pipeline fails at build: check runner logs and resource limits.
• Deployment stuck: verify cluster credentials and namespace permissions.
• Artifact missing: ensure registry credentials and image tags are correct.
• Slow pipelines: increase parallelism, cache dependencies, or scale runners.

Security considerations

• Enforce least-privilege for service accounts.
• Scan images for vulnerabilities before deploy.
• Audit pipeline runs and approvals for compliance.
• Encrypt secrets at rest and in transit.

Migration checklist (from another CD tool)

• Inventory existing pipelines and artifacts.
• Export pipeline definitions and convert syntax.
• Recreate secrets and RBAC in CDOrg.
• Run parallel deployments to validate behavior.
• Roll out incrementally and monitor closely.

Learning resources

• Official docs (start with getting started guide).
• Example repos and community pipelines.
• Tutorials for common stacks (Kubernetes, serverless).
• Webinars and community forums.

CDOrg is a powerful way to standardize and automate deployments. Start with a simple pipeline, enforce best practices, integrate observability, and iterate — you’ll get safer, faster releases.