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Load Balancing Fundamentals

7 Units34 Lessons
Unit 1

Basics

What is Load Balancing?
Key Components of Load Balancing
Benefits of Load Balancing
Simple Load Balancing Setup Project
Unit 2

Reverse Proxy

Introduction to Reverse Proxies in Load Balancing
How Reverse Proxies Distribute Traffic
Advantages of Reverse Proxies for Scalability
Common Configurations for Reverse Proxies
Real-World Reverse Proxy Implementation Project
Unit 3

Load Balancing Algorithms

How Round-Robin Algorithm Works
Real-World Algorithm Selection Project
Least Connections and Other Dynamic Algorithms
Overview of Common Load Balancing Algorithms
Comparing Algorithm Performance
Unit 4

Configuration and Setup

Software-Based Load Balancer Setup
Hardware Considerations in Configuration
Testing Configurations for Reliability
Basic Configuration Principles
Real-World Load Balancer Deployment Project
Unit 5

Monitoring and Optimization

Troubleshooting Common Issues
Tools for Monitoring Load Balancing
Key Metrics to Track
Optimization Strategies
Real-World Optimization Project
Unit 6

Security in Load Balancing

Security Threats in Load Balancing
Implementing SSL and Encryption
Real-World Secure Load Balancing Project
Advanced Security Best Practices
Access Control and Firewall Integration
Unit 7

Scalability and Performance

Handling High-Traffic Scenarios
Real-World Scalability Implementation Project
Future Trends in Load Balancing
Performance Tuning Methods
Scaling Load Balancing Systems
Unit 3•Chapter 5

Comparing Algorithm Performance

Summary

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Concept Check

0/15

What is the worst-case time complexity of quicksort?

Which algorithm has average time complexity O(n log n)?

How does Big O notation differ from Big Theta?

What is the space complexity of depth-first search?

Which factor most affects empirical algorithm performance?

Which sorting algorithm has better average time complexity: QuickSort or BubbleSort?

For large inputs, which Big O notation is faster: O(n) or O(n^2)?

What is the space complexity of an algorithm using recursion deeply?

In algorithm comparison, which grows faster asymptotically: 2^n or n^3?

Which search algorithm performs better on sorted arrays?

In load balancing, which algorithm compares favorably for minimizing response times under high traffic?

When scaling servers as in the transcript, which algorithm performs better for uneven loads?

Comparing algorithms for traffic distribution, which one optimizes server utilization most effectively?

In the context of handling millions of users, which load balancing algorithm shows superior performance?

For comparing algorithm efficiency in distributing website traffic, which one reduces latency best?

PreviousOverview of Common Load Balancing Algorithms