From Idea to Production: the SDLC

Shipping software under Waterfall, Scrum, Kanban, and modern DevOps/continuous-delivery models, and choosing the right process for your context.

Start reading →

01Chapter 1: Why the SDLC Matters 02Chapter 2: An Honest Comparison of SDLC Models: Waterfall, Iterative, Agile/Scrum, Kanban, Lean, Spiral, DevOps 03Chapter 3: Choosing and Adapting a Model for Team Size, Domain, and Risk Tolerance 04Chapter 4: Requirements Gathering and Analysis 05Chapter 5: The Design Phase and Its Connection to HLD/LLD 06Chapter 6: Implementation Practices That Keep a Project Healthy 07Chapter 7: Testing Strategy Across the Pyramid 08Chapter 8: Documentation Across the Lifecycle: Specs, ADRs, Runbooks 09Chapter 9: Release and Deployment: CI/CD, Versioning, Blue-Green and Canary Releases, Feature Flags 10Chapter 10: Operations and Maintenance: On-Call, Monitoring, Incident Response 11Chapter 11: Measuring Delivery Health: Cycle Time, Deployment Frequency, Change Failure Rate, MTTR 12Chapter 12: Case Study: The SDLC in a Five-Person Startup 13Chapter 13: Case Study: The SDLC in a Large Enterprise Team 14Chapter 14: Worked Example: Choosing a Process for a New Team 15Chapter 15: Common Interview Questions About the SDLC

Other tracks

Python DSA — Course Python DSA — Interview Prep Python DSA — Beginner Python Syntax & DSA Reference Git Mastery Cognitive Skills & Mental Tools Code Optimization Rules Objects First: OOP Fundamentals Patterns of Good Design Under the Hood: Operating Systems How the Bytes Travel: Networking Data at Rest, Data in Motion: Databases Sharing Time: Concurrency & Multithreading Clean by Default: Coding Standards The Review: Code Review Designing at Scale: System Design Whiteboard to Blueprint: HLD & LLD Built to Last: Reliability & Scaling Tell Me About a Time: Behavioral Interviews