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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 7•Chapter 5

Scaling Load Balancing Systems

Summary

A website must handle traffic from millions of users, exceeding a single application's capacity. To manage this, multiple servers are added for horizontal scaling. A load balancer is used to intercept incoming internet traffic and distribute it across these servers, ensuring efficient routing and preventing any one server from being overloaded.

Concept Check

0/15

What is the primary method for scaling load balancers horizontally?

How does auto-scaling enhance load balancing systems?

Which algorithm ensures even distribution in load balancing?

What challenge arises when scaling load balancers?

In load balancing, what does sticky sessions achieve?

What is the primary benefit of horizontal scaling in load balancing systems?

Which algorithm ensures even distribution in load balancers?

How does session persistence work in scaled load balancing?

What role does auto scaling play in load balancing?

What challenge arises when scaling load balancing systems?

What scaling technique involves adding more servers to handle increased traffic as described?

How does a load balancer distribute traffic in a scaled system?

What is the primary role of a load balancer in preventing server saturation?

In horizontal scaling, what ensures traffic reaches the appropriate server?

What limits the effectiveness of scaling up a single application server?

PreviousPerformance Tuning Methods