Computer Networking & System Design For DevOps in OneShot

By TrainWithShubham

Master essential computer networking and system design principles tailored for modern DevOps and backend engineering. This comprehensive guide explores core internet mechanics, subnetting, DNS, transport protocols, network security, and scalable architecture design through real-world applications.

Table of Contents

Computer Networking & System Design For DevOps in OneShot

Table of Contents

Networking Foundation: Client-Server Architecture and Global Cables

ISP Hierarchy, WAN/MAN Infrastructure, and Data Transit

Network Performance: Bandwidth, Latency, and Packet Loss

Networking Hardware Anatomy: Routers, Switches, Hubs, and Data Centers

Cloud Infrastructure Lab: EC2 Deployment and Traceroute Packet Hops

Edge Delivery: CDN Edge Locations, Regions, and Caching

IP Addressing Architecture: IPv4 Octets vs IPv6 Format

Subnetting and CIDR Notation Mathematical Computation

DNS Core Architecture: Resolvers, Root Servers, and TLDs

The OSI Model: Physical, Data Link, and Network Layer Analysis

OSI Transport to Application Layers and Protocol Mapping

Transport Protocols: TCP 3-Way Handshake vs UDP Streaming

Application Protocols: HTTP/HTTPS, SSH, and SMTP Workflows

Firewalls, Linux UFW, and Security Group Inbound/Outbound Rules

SSL/TLS Cryptographic Handshakes and Nginx Web Server Security

Port Architecture and Protocol Port Number Allocations

VPC Fundamentals: Public vs Private Subnets and Security Boundaries

Internet Gateways, Route Tables, and NAT Gateway Egress

Hands-On AWS Lab: Designing and Provisioning a Custom VPC

System Design Fundamentals: Traffic Patterns and Distributed Scale

Multi-Tier Architecture: Frontend, Backend API, and Worker Nodes

Inter-Service Communication: REST APIs, WebSockets, and gRPC

Data Tier Strategy: Relational SQL vs NoSQL vs In-Memory Caching

Asynchronous Decoupling: Authentication, Microservices, and Queues

Elastic Load Balancing (ELB) and High Availability Patterns

Autoscaling Mechanisms: Horizontal vs Vertical Pod Autoscaling

Observability Stack: Prometheus Metrics and Grafana Dashboards

Full System Synthesis: End-to-End Architectural Review and Conclusion