Member-only story

Architecting Resilient Systems: 20 Essential Concepts Through a .NET Lens — Part 2

Distribution & Communication — Consistent Hashing, Message Queues, Rate Limiting, API Gateway, Microservices Architecture

30 min readApr 12, 2026

Architecting Resilient Systems: 20 Essential Concepts Through a .NET Lens — Part 2

This is Part 2 of a 4-part series exploring system design concepts through the Vehixcare-API implementation. In this series, we’ll cover 20 essential distributed system patterns with practical .NET code examples, MongoDB integration, and SOLID principles.

Companion stories in this series: Explore the complete architecture journey

🏗️ Part 1: Foundation & Resilience — Load Balancing, Caching, Database Sharding, Replication, Circuit Breaker
📡 Part 2: Distribution & Communication — Consistent Hashing, Message Queues, Rate Limiting, API Gateway, Microservices
🏛️ Part 3: Architecture & Scale — Monolithic Architecture, Event-Driven Architecture, CAP Theorem, Distributed Systems, Horizontal Scaling
⚙️ Part 4: Optimization & Operations — Vertical Scaling, Data Partitioning, Idempotency, Service Discovery, Observability

Introduction: Connecting the Distributed World

Publish Architecting Resilient Systems: 20 Essential Concepts Through a .NET Lens - Part 3

https://mvineetsharma.medium.com/architecting-resilient-systems-20-essential-concepts-through-a-net-lens-part-3-ca24673261d2

Vineet Sharma

Architecting Resilient Systems: 20 Essential Concepts Through a .NET Lens — Part 2

Distribution & Communication — Consistent Hashing, Message Queues, Rate Limiting, API Gateway, Microservices Architecture

Companion stories in this series: Explore the complete architecture journey

Introduction: Connecting the Distributed World

Written by Vineet Sharma

Responses (1)

More from Vineet Sharma

AI Agent Engineering 5 - Taking Agents to Production - Deployment, Scaling, and Security

Deploy, scale, and secure AI agents for millions: async workers, containers, serverless, guardrails, and observability.

AI Agent Engineering 2 — Building Your First Agent — Architecture, Tools, and Memory

Transform a simple chatbot into an autonomous WhatsApp travel agent with memory, tool integration, and multi‑step booking capabilities

11 Kafka Design Patterns for Every Backend Engineer

Brief intro, detailed explainer for each pattern, Mermaid diagrams, small code snippets.

AI Agent Engineering 4 — Keeping Agents Safe — Evaluation, Guardrails, and Observability

Ensuring trustworthy agents with hallucination detection, red‑team testing, bias mitigation, output validation, and full observability.

Recommended from Medium

28 Core System Design Concepts, Explained Through the Failures They Prevent

Building blocks of scalable systems — organized by the production problem each one is designed to solve.

Why GUID/UUID Fragmentation in INDEXES More Powerful Than You Think (And How to Master Them)

UUID index fragmentation and optimize key generation for faster inserts and improved database performance

Payment Deducted But Order Failed: System Design Deep Dive on the Saga Pattern and Distributed…

System Design Real Scenarios — A Popular Interview Question That Tests the Saga Pattern, Compensation Workflows, Idempotency Keys, Retry…

Detailed Explanation of 10 Common PostgreSQL Index Failure Scenarios: How to Avoid Index Failure…

Indexes are among the most powerful tools for improving database query performance. They help PostgreSQL locate records efficiently without…

From 5 Seconds to 300ms: How I Fix Database Performance Problems in Production

Free Link

Master SQL Window Functions With Real World Examples

Stop writing SQL that just fetches data, start writing SQL that tells a story

Responses (1)

More from Vineet Sharma

AI Agent Engineering 5 - Taking Agents to Production - Deployment, Scaling, and Security

Deploy, scale, and secure AI agents for millions: async workers, containers, serverless, guardrails, and observability.

AI Agent Engineering 2 — Building Your First Agent — Architecture, Tools, and Memory

Transform a simple chatbot into an autonomous WhatsApp travel agent with memory, tool integration, and multi‑step booking capabilities

11 Kafka Design Patterns for Every Backend Engineer

Brief intro, detailed explainer for each pattern, Mermaid diagrams, small code snippets.

AI Agent Engineering 4 — Keeping Agents Safe — Evaluation, Guardrails, and Observability

Ensuring trustworthy agents with hallucination detection, red‑team testing, bias mitigation, output validation, and full observability.

Recommended from Medium

28 Core System Design Concepts, Explained Through the Failures They Prevent

Building blocks of scalable systems — organized by the production problem each one is designed to solve.

Why GUID/UUID Fragmentation in INDEXES More Powerful Than You Think (And How to Master Them)

UUID index fragmentation and optimize key generation for faster inserts and improved database performance

Payment Deducted But Order Failed: System Design Deep Dive on the Saga Pattern and Distributed…

System Design Real Scenarios — A Popular Interview Question That Tests the Saga Pattern, Compensation Workflows, Idempotency Keys, Retry…

Detailed Explanation of 10 Common PostgreSQL Index Failure Scenarios: How to Avoid Index Failure…

Indexes are among the most powerful tools for improving database query performance. They help PostgreSQL locate records efficiently without…

From 5 Seconds to 300ms: How I Fix Database Performance Problems in Production

Free Link

Master SQL Window Functions With Real World Examples

Stop writing SQL that just fetches data, start writing SQL that tells a story