Welcome to MkDocs
Project layout
HLD - Book, Jordan, Hello Interview, Any video. The point is it will be topic wise. Like any topic I got anywhere I will add it in single place.
Example - Most commonly asked and pattern. LLD - Pattern Example. Most asked end to end. Multithreading.
Java Project. Spring project Interview Guide.
Microservice Architecture.
AI ML - Core to advanced role - Backend AI Engineer.
Run the project - python -m mkdocs serve and mkdocs serve
Scan in 10 seconds
Revise in 2 minutes
Remember key points
To deploy - push the code in github and mkdocs gh-deploy.
Adding image.
Inside docs - images - SystemDesign - Image.png and the file are in say docs - SystemDesign - file.md the url will be go to the main folder then image.
The image url - 
The tag in the base doc branch.
Making the image small - <img src="/images/SystemDesign/NetworkLayer.png" style="width:60%;">
https://suchismita-deb.github.io/blogSystemDesign/
Practice UML diagram to get teh class relationship of the system and no need to write to the code. Design Pattern and UML diagram.
System Design PDF
External monitor works - Extend display (There Settings - Display there will be 2 screens and moving the cursor to the left or right will point to the monitor or laptop screen) - Making any app visible in monitor then open the app and then Win+Shift+Right/LeftKey.
Duplicate Screen will open all in the laptop and monitor.
distinctElementOptimized arr[] = [1, 2, 1, 3, 4, 2, 3] [3, 4, 4, 3]
int nums[] and int k. Find the distinct nums in k size window in the array.
import java.util.HashMap;
import java.util.Map;
int[] distinctElementOptimized(int nums[], int target) {
Map<Integer, Integer> mp = new HashMap<>();
int arr[] = new int[n-k+1];
for(int i=0;i<k;i++){
mp.put(nums[i],mp.getOrDefault(mp.get(nums[i]),0)+1);
}
int pointer=0;
int pos=1;
arr[0] = mp.size();
for(int i=k;i<n;i++){
mp.put(nums[pointer], mp.get(nums[pointer])-1);
if(mp.get(nums[pointer])==0) {
mp.remove(nums[pointer]);
}
mp.put(nums[i],mp.getOrDefault(mp.get(nums[i]),0)+1);
arr[pos++] = mp.size();
}
return arr;
}
What is concurrentHashMap. What is the HashMap internal. Kafka Partition ordering. What is the equals method.
In Spring project in the properties file when set it like spring.ai.openai.api-key=${OPENAI_API_KEY} In the env edit configuration in the Modify Options add the OPENAI_API_KEY="Val" The apply and run.
System Design Mind Map
# System Design
## Key Technology Week 1 to 7
### Data Structure
- Stack and Queue
- Priority Queue
- B Tree and Trie
### Networking
- HTTP/HTTPs, TCP/IP, UDP
- DNS Resolution
- TCp 3 way handshake
- REST API and Status Code
- Latency and throughput
### OS Concepts
- Threads and Process
- CPU Scheduling and Context Switching
- IO Blocking and Async Operations
- Virtual Memory and Paging
- File System and Storage
### DB Concepts
- Sharding and Partitioning
- Replication Models
- Read/Write Replicas
- CAP Theorem and Trade-offs
- Consistency Models
- Eventual Consistency
- Strong Consistency
### Load Balancing and Scaling
- Vertical Scaling
- Horizontal Scaling
- L4 Load Balancer
- L7 Load Balancer
- DNS-Based Load Balancing
- Health Check and Failover
- Consistent Hashing
### Caching System
- Redis
- Memcache
- Eviction Policy
- LRU
- LFU
- FIFO
- Write Strategy
- Write-through
- Write-back
### Event and Messaging
- Message Brokers
- Kafka
- RabbitMQ
- Sync and Async Communication
- Pub/Sub Models
- Delivery Guarantees and Ordering
- Dead Letter Queue and Retries
## Design Architecture
### Design Thinking
- Requirement
- Bottleneck Identification
- Data and Control Flow
- Stateless and Stateful
- Between two requests, if we need to maintain a session, then it is stateful.
- Failure Handling
### Design Pattern
- Rate Limiting
- Token Bucket
- Leaky Bucket
- Sliding Window
- Circuit Breaker and Retry Logic
- Leader Election
- Health Checks and Heartbeats
- CQRS and Event Sourcing
### Design Architecture
- Monolithic
- Microservices
- Event-Driven
- Layered Architecture
- Client-Server
- Service-Oriented
## Practice
### Practice Pattern Question.
- File Storage and Sharing
- Drive
- Github
- Pinterest
- OneDrive
- Photos
- Social Media and Networking
- Facebook
- Instagram Reels
- Twitter Feed
- Newsfeed generation
- Recommendation system
- LinkedIn
- Reddit
- Snapchat
- Likes Count
- Instagram Reel like and comment
- Messaging and Communication
- WhatsApp
- Real-time messaging
- Group chat
- Video streaming
- Telegram
- Slack
- Zoom
- Teams
- Search and Discovery
- Google Search
- Amazon Product Search
- Indexing
- Ranking algorithm
- Query optimization
- Caching
- Ride Sharing
- Uber
- Swiggy
- DoorDash
- Google Maps
- Real-time location tracking
- Dispatch algorithm
- Route optimization
- Content Delivery
- Netflix
- Disney Hotstar
- Spotify
- YouTube Live
- Video encoding
- Live streaming latency
- Ecommerce
- Amazon
- eBay
- Airbnb
- Payment System
- PayPal
- Cash App
- Collaboration
- Google Docs
- Jira
- Notion
- Content Publishing
- Medium
- Quora
- Healthcare and Fitness
- Practo
- Fitbit
- Gaming and High Traffic
- PUBG
- Discord
- Ad Tech and Recommendation
- Google Ads
- YouTube