🧿 8 Most-Used Distributed System Design Patterns

If you are building a distributed system, you’ll need to use some of these patterns.

1 - Ambassador Pattern
Focuses on offloading all major tasks other than business logic to helper services. Example of such tasks include logging, monitoring, and retries.

2 - Circuit Breaker Pattern
This pattern helps prevent cascading failures when one service calls another service by preventing such calls.

3 - CQRS Pattern
Separate read and write operations for better flexibility and supporting different scaling requirements.

4 - Sharding
Split a monolithic database into multiple partitions known as shards for better horizontal scalability.

5 - Sidecar Pattern
Deploy auxiliary components alongside the main service containers to manage cross-cutting concerns like configuration management, logging, and monitoring.

6 - Pub/Sub
Used for asynchronous communication between publisher services and subscriber services.

7 - Leader Election
In distributed systems, some tasks (such as leader-follower replication) need a single leader. Leader election algorithms ensure that only one node is designated as the leader.

8 - Event Sourcing
Store the events or state changes in a separate event store. The event store can add the event to a message broker to update the read database.

📖 Data Structure and Algorithm Patterns for LeetCode Interviews – Tutorial

This is a comprehensive course on data structures and algorithms. algo monster will break down the most essential data structures—like arrays, strings, sets, hashmaps, and heaps, and he'll show you exactly how and when to use them. You’ll also master core algorithmic patterns such as two pointers, sliding windows, binary search, breadth-first search (BFS), depth-first search (DFS), and backtracking, all explained with clear examples and real interview problems.

⭐️ Contents ⭐️
⌨️ (0:00:00) Array
⌨️ (0:03:11) String
⌨️ (0:04:56) Set
⌨️ (0:06:40) Control Flow & Looping
⌨️ (0:07:32) Big O Notation
⌨️ (0:10:02) Hashmap
⌨️ (0:15:54) Hashmap practice problems
⌨️ (0:18:52) Two Pointers
⌨️ (0:22:56) Two Pointers practice problems
⌨️ (0:26:48) Sliding Window
⌨️ (0:31:45) Sliding Window practice problems
⌨️ (0:37:39) Binary Search
⌨️ (0:39:28) Binary Search practice problems
⌨️ (0:48:28) Breadth-First Search (BFS) on Trees
⌨️ (0:50:36) BFS on Graphs
⌨️ (0:52:13) BFS practice problems
⌨️ (0:57:31) Depth-First Search (DFS)
⌨️ (0:59:01) DFS on Graphs
⌨️ (1:00:24) DFS practice problems
⌨️ (1:05:01) Backtracking
⌨️ (1:08:14) Backtracking practice problems
⌨️ (1:10:27) Priority Queue/heap
⌨️ (1:11:36) Priority Queue/heap practice problems

🔰 Microservices Architecture

A useful find on GitHub CheatSheets-for-Developers

LINK: https://github.com/crescentpartha/CheatSheets-for-Developers

This is a huge collection of cheat sheets for a wide variety of technologies:

JavaScript, Python, Git, Docker, SQL, Linux, Regex, and many others.

Conveniently structured — you can quickly find the topic you need.

Save it and use it 🔥

🔅 C# Algorithms

🌐 Author: Kathryn Hodge
🔰 Level: Advanced

⏰ Duration: 2h 46m

🌀 Learn how to create better C# programs by using efficient algorithms.

📗 Topics: C#, Algorithms

📤 Join The Coding Space for more courses

📱The Coding Space
📱C# Algorithms

🚀 Model Context Protocol (MCP) Curriculum for Beginners

Learn MCP with Hands-on Code Examples in C#, Java, JavaScript, Python, and TypeScript
🧠 Overview of the Model Context Protocol Curriculum

The Model Context Protocol (MCP) is an innovative framework designed to standardize communication between AI models and client applications. This open-source curriculum provides a structured learning path, featuring practical coding examples and real-world scenarios across popular programming languages such as C#, Java, JavaScript, TypeScript, and Python.

Whether you're an AI developer, system architect, or software engineer, this guide is your all-in-one resource for mastering MCP fundamentals and implementation techniques.

🔗 Resources: https://github.com/microsoft/mcp-for-beginners/blob/main/translations/en/README.md

🔰 Java vs Python 🔰

Imagine you're building your dream project. Do you go with Java or Python?

- Java is like a structured classroom lecture: fast, efficient, and built for large-scale applications
- Python is like an interactive online course: easy to learn, flexible, and perfect for rapid development

🧿 Top 8 API architectural styles

📱 Design Patterns in Java: Creational [EN]

🎓 What will you learn?

Learn the main creational design patterns in Java. You will find out when to apply each of the five patterns defined by the "Gang of Four," how they help in architecture, and how to avoid their pitfalls. The course will improve your development skills and increase the readability of your code for the team.

🔅 Learning C#

🌐 Author: Joe Marini
🔰 Level: Beginner

⏰ Duration: 2h 54m

🌀 Learn the fundamentals of the C# language.

📗 Topics: C#

📤 Join The Coding Space for more courses

📱The Coding Space
📱Learning C#