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High cohesion and low coupling are fundamental principles in system design that lead to modular, flexible, and maintainable software architectures.
High Cohesion
High cohesion means grouping related functionality within a single module. Think of a Linux command-line tool like grep, which does one thing well—searching text.
Example:
High cohesion: 'grep' focuses only on text search grep "error" /var/log/syslog
Low Coupling
Low coupling ensures modules interact minimally. In microservices, APIs reduce dependencies.
Example (REST API call with `curl`):
Low coupling: Service A fetches data from Service B via API curl -X GET https://api.service-b.com/data
You Should Know:
Linux Commands Demonstrating Cohesion & Coupling
1. High Cohesion Example (`awk` for text processing):
awk '{print $1}' access.log Only extracts the first column
2. Low Coupling Example (Pipes in Linux):
cat /var/log/nginx/access.log | grep "404" | awk '{print $7}' | sort | uniq -c
Each command does one task, loosely coupled via pipes.
3. Modular System Design (Microservices with Docker):
docker run --name auth-service -p 3000:3000 auth-microservice docker run --name payment-service -p 4000:4000 payment-microservice
4. Decoupling with Message Queues (Redis):
redis-cli LPUSH task_queue "process_data" Producer redis-cli RPOP task_queue Consumer
5. Windows Equivalent (PowerShell for Modular Tasks):
Get-EventLog -LogName System -Newest 10 | Where-Object { $_.EntryType -eq "Error" }
What Undercode Say:
- High cohesion = Single-responsibility functions (like `chmod` only changes permissions).
- Low coupling = APIs, message queues, and modular containers (Docker/Kubernetes).
- Best Practice: Use Linux pipes, microservices, and REST APIs to enforce these principles.
Expected Output:
A well-designed system where:
- Modules are independent (low coupling).
- Components do one thing well (high cohesion).
- Changes in one module don’t break others.
Prediction:
Future systems will rely more on serverless functions (AWS Lambda, Azure Functions) for extreme low coupling and AI-driven microservices for self-optimizing cohesion.
(No URLs extracted—focusing on principles and practical commands.)
References:
Reported By: Raul Junco – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅
