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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 2

Real-World Scalability Implementation Project

Summary

User requests summaries limited to 250 words, excluding sponsors and unrelated content, while avoiding introductory statements

Concept Check

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What is the primary purpose of load balancers in scalable systems?

How does database sharding improve scalability?

What role does caching play in real-world scalability?

Why are microservices used in scalable projects?

What triggers auto-scaling in cloud environments?

What is the key advantage of horizontal scaling in real-world projects?

How does caching improve scalability in high-traffic applications?

In microservices architecture, what addresses inter-service communication?

What role does sharding play in database scalability?

Why is eventual consistency used in scalable distributed systems?

In horizontal scaling, what role does a load balancer play?

How does a load balancer handle high website traffic?

What limits the effectiveness of vertical scaling alone?

Why is a load balancer essential for millions of users?

What type of device can a load balancer be?

PreviousHandling High-Traffic Scenarios
NextFuture Trends in Load Balancing