Deployment
✅ 1. What is Deployment?
📌 Definition:
Deployment is the process of delivering a software application from the development environment to the production environment so that end-users can start using it.
💡 Simply put: Deployment is about making software live for actual use by customers or employees.
🎯 2. Why is Deployment Important?
Reason
Benefit
Delivers value to users
Users can access and benefit from the system.
Brings software to production
Moves application from testing to real-world use.
Enables feedback
Real users can provide insights for improvement.
Generates business impact
Software starts contributing to business goals.
✅ 3. Types of Deployment
Deployment Type
Description
Example
Manual Deployment
Human-triggered steps (e.g., uploading files).
Manually uploading code to a server.
Automated Deployment (CI/CD)
Uses automation tools for faster, error-free deployments.
Jenkins pipeline that deploys code automatically.
On-Premises Deployment
Installed on company-owned hardware.
Corporate internal software.
Cloud Deployment
Hosted on cloud platforms (AWS, Azure, GCP).
SaaS applications hosted on AWS.
Containerized Deployment
Using Docker, Kubernetes for scalable deployments.
Microservices in Docker containers.
✅ 4. Deployment Phases / Steps
Phase
Description
Build Release Package
Prepare the final code and resources.
Testing in Staging
Final testing in an environment similar to production.
Deployment Planning
Define when, how, and by whom deployment occurs.
Production Deployment
Move system to live/production.
Post-Deployment Validation
Verify if deployment is successful (Smoke Testing).
Monitoring and Support
Monitor performance and fix any issues.
✅ 5. Deployment Methods
Method
Explanation
Big Bang Deployment
Release entire system at once.
Phased Deployment
Gradually release in stages (e.g., by user group).
Blue-Green Deployment
Two identical environments (blue & green); swap traffic to new version when ready.
Canary Deployment
Release to a small user group before full launch.
Rolling Deployment
Gradually replace old version with new one without downtime.
✅ 6. Tools for Deployment
Purpose
Examples
Continuous Integration/Deployment (CI/CD)
Jenkins, GitLab CI, GitHub Actions, CircleCI.
Container Orchestration
Kubernetes, Docker Swarm.
Infrastructure as Code (IaC)
Terraform, AWS CloudFormation.
Monitoring Tools
Prometheus, Grafana, New Relic, Datadog.
Cloud Services
AWS, Microsoft Azure, Google Cloud Platform.
✅ 7. Role of Business Analyst (BA) in Deployment
BA Activity
Purpose
Communicate with stakeholders
Inform users and stakeholders about go-live.
Coordinate UAT feedback incorporation
Ensure user feedback is addressed pre-launch.
Change management
Support training and transition to the new system.
Monitor business impact
Ensure system meets business goals post-launch.
Risk identification and mitigation
Identify potential deployment risks and solutions.
✅ 8. Best Practices for Deployment
Best Practice
Reason
Automate deployment
Reduces errors, speeds up process.
Test in staging environment
Ensure smooth deployment by simulating production.
Monitor system post-deployment
Quickly identify and fix issues.
Have rollback plan
Quickly revert if issues are found.
Communicate with users
Prepare users for changes.
Deploy during low-usage hours
Minimize user impact.
Use versioning
Track and manage released versions.
✅ 9. Example of Deployment Process (Simplified)
Step
Description
Step 1: Code Freeze
Stop new changes; stabilize for deployment.
Step 2: Build Package
Final code compiled into deployable units.
Step 3: Staging Deployment
Deploy in test environment to validate.
Step 4: Approval
Sign-off by stakeholders, QA, and BAs.
Step 5: Production Deployment
Move to live environment.
Step 6: Post-Deployment Testing
Run sanity tests to ensure system works.
Step 7: Monitoring and Support
Watch system behavior and handle issues.
✅ 10. Summary of Deployment
Aspect
Explanation
Definition
Releasing software to production for end-users.
Types
Manual, Automated, Cloud, On-Premises.
Methods
Big Bang, Phased, Blue-Green, Canary, Rolling.
Tools
Jenkins, Docker, Kubernetes, AWS, Azure.
BA Role
Support in communication, change management, UAT follow-up.
Last updated