Learn a repeatable framework for separating business pain, engineering constraints, documented facts, architecture choices, outcomes and teaching interpretations.
বাংলা অনুবাদ এখনো নেই, ইংরেজি দেখানো হচ্ছে।
Case studies become useful only when you can explain why a company changed its delivery system, not merely name the tools it adopted.
The transformation framework
Text
BUSINESS / ENGINEERING CONTEXT
↓
CURRENT DELIVERY SYSTEM
↓
PAIN + CONSTRAINTS
↓
ROOT CAUSES
↓
TARGET OUTCOMES
↓
ARCHITECTURE / PROCESS CHANGE
↓
FEEDBACK + SAFETY CONTROLS
↓
MEASURED OUTCOME
↓
NEW TRADE-OFFS
↓
NEXT BOTTLENECK
Use this framework for all ten case studies in the topic.
Three evidence labels
Every real-company case uses three labels:
1. Publicly documented fact
A statement directly supported by the company's own engineering publication. Examples include a reported build time, deployment frequency, architecture component, or workflow.
2. Teaching interpretation
A conclusion we draw from those facts. For example, if a company reduced project setup from days to minutes by standardizing pipelines, we may interpret that as a platform-engineering / cognitive-load improvement.
3. Modern reference architecture
A contemporary implementation we might design today using tools already taught in bongoDev. It is a teaching adaptation, not a claim that the company uses those exact tools.
Case-study worksheet
For each company, fill in:
Question
Your answer
What was painful?
What business/engineering constraint mattered?
What was the bottleneck?
What changed first?
What became automated?
What remained a human decision?
How was blast radius controlled?
How was success measured?
What new complexity was introduced?
What would you implement differently today?
Before / after / feedback
Do not draw only one architecture diagram. Draw three:
Text
BEFORE → shows friction and handoffs
AFTER → shows delivery architecture
LOOP → shows metrics, gates, abort and recovery
Decision points matter more than tool names
Your goal as a student
By the end of this topic you should be able to receive a company scenario and produce:
Text
Problem statement
Current-state value stream
Root causes
Target DORA-style metrics
CI architecture
CD architecture
Release strategy
Security controls
Observability / feedback
Rollback / recovery
Migration roadmap
Trade-offs
What students should learn
Start with a delivery or business constraint, not a tool shopping list.
Measure the bottleneck before redesigning the pipeline.
Optimize both throughput and instability; speed without safety is not DevOps maturity.
Reduce batch size, blast radius, manual variance, and time-to-feedback.
Treat developer experience, platform reliability, and operational evidence as part of CI/CD architecture.