Mastering System Design: Build Scalable and Reliable Applications

By /

Listen to this Post

Featured Image
Solid system design is the backbone of creating applications that are scalable, fault-tolerant, and efficient. Here’s a deep dive into the key concepts with practical implementations:

1️⃣ Core Principles

Focus on scalability, uptime, and dependability. Key metrics:

  • Latency: Measure using `ping` or `curl -o /dev/null -s -w ‘%{time_total}\n’
    ` </li>
<li>Throughput: Test with `ab -n 1000 -c 100 [bash]` (Apache Benchmark) </li>
<li>CAP Theorem: Choose between Consistency, Availability, Partition Tolerance. </li>
</ul>

<h2 style="color: yellow;">2️⃣ Traffic Distribution</h2>

<h2 style="color: yellow;">Load Balancing Methods:</h2>

<ul>
<li>Round Robin: Configure in Nginx: 
[bash]
upstream backend {
server server1.example.com;
server server2.example.com;
}
  • Least Connections:
    upstream backend {
least_conn;
server server1.example.com;
server server2.example.com;
}
  • Consistent Hashing: Used in Redis Cluster (redis-cli --cluster create).

3️⃣ Data Storage Systems

  • SQL (PostgreSQL):
    CREATE TABLE users (id SERIAL PRIMARY KEY, name VARCHAR(100));
  • NoSQL (MongoDB):
    db.users.insertOne({ name: "John", age: 30 });
  • Sharding: Implement in MySQL:
    PARTITION BY RANGE (id) (PARTITION p0 VALUES LESS THAN (1000));

4️⃣ Asynchronous Communication

  • Kafka: Start a producer:
    kafka-console-producer --topic test --bootstrap-server localhost:9092
  • RabbitMQ: Send a message:
    rabbitmqadmin publish exchange=amq.default routing_key=test payload="Hello"

5️⃣ Optimizing with Caching

  • Redis Caching:
    redis-cli SET key "value" EX 3600  TTL: 1 hour
  • Eviction Policies:
    redis-cli CONFIG SET maxmemory-policy allkeys-lru

6️⃣ APIs & Data Exchange

  • REST (cURL):
    curl -X GET https://api.example.com/users
  • gRPC: Generate stubs:
    protoc --go_out=. --go-grpc_out=. service.proto
  • WebSockets (Python):
    import websockets
async def handler(websocket, path):
await websocket.send("Hello!")

You Should Know:

  • Linux Performance Monitoring:
    top  Real-time system stats
vmstat 1  Virtual memory stats
iostat -x 1  Disk I/O monitoring
  • Windows Network Debugging:
    Test-NetConnection -ComputerName google.com -Port 80
Get-NetTCPConnection -State Established

What Undercode Say:

System design is not just theory—automation and scripting make it real. Use Terraform for infra, Ansible for configs, and Kubernetes for orchestration. Always benchmark before scaling.

Expected Output:

A highly available, low-latency system with caching, load balancing, and async processing at its core.

Prediction:

Future systems will rely more on AI-driven auto-scaling and serverless architectures (AWS Lambda, Knative).

Relevant URLs:

IT/Security Reporter URL:

Reported By: Ashsau Mastering – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

Join Our Cyber World:

💬 Whatsapp | 💬 Telegram

Related Posts: