Hi everyone!
I wanted to share a visual guide that shows the end-to-end flow of how companies typically deliver code to production.
This is especially useful if you're wondering how companies deploy large-scale or enterprise projects, regardless of tech stack.
From planning and development to testing, deployment, and monitoring, this diagram highlights typical stages and common tools used in real-world pipelines.
Overview
Here's a high-level process many companies follow:
-
Planning & Story Creation
- Using tools like Jira to create and pick stories.
- Product Owners define requirements.
-
Development & Code Commit
- Developers pick stories and commit code.
- Code review and feedback cycles.
-
Build & Store Artifacts
- Tools like SonarQube, JUnit, Jacoco for static analysis and testing.
- Builds stored in repositories like JFrog Artifactory.
-
Deploy to Environments
- Dev Environment (Docker, Cloud).
- QA Environment.
- UAT Environment.
-
Production Deployment
- Supports advanced strategies like Feature Toggles, Canary Deployments, A/B Testing.
-
Monitoring & Alerting
- Using tools like Prometheus, SkyWalking.
- SRE teams ensure reliability.
Example Tools & Technologies
- Planning: Jira
- Code Quality: SonarQube, JUnit, Jacoco
- Build/Artifact Storage: JFrog Artifactory
- Containers: Docker
- Cloud Platforms: AWS, GCP, Azure
- Monitoring: Prometheus, SkyWalking
🎯 Who Is This For?
This kind of process is essential for:
✔️ New developers learning CI/CD and release workflows
✔️ Teams improving their delivery pipelines
✔️ SREs & DevOps refining deployment strategies
✔️ AI/ML teams productionizing models
💬 Discussion
What does your delivery pipeline look like?
Which tools do you use at each stage?
How does your team manage releases to production?
👇 Share your thoughts in the comments. Let’s learn from each other!
✨ Follow Me
If you found this helpful, follow me here on DEV for more interesting topics about software engineering, DevOps, CI/CD, and tech workflows!
📸 Image
Top comments (0)