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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 5•Chapter 3

Key Metrics to Track

Summary

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Which metric best measures customer retention over time?

Which metric best measures customer retention over time?

Which metric best measures customer retention over time?

Which metric best measures customer retention over time?

Which metric best measures customer retention over time?

Which metric best measures customer loyalty in analytics?

What key metric evaluates ad spend effectiveness?

In SaaS, which metric tracks subscription retention?

What metric assesses website traffic quality primarily?

Which metric calculates average transaction value in e-commerce?

What is the primary advantage of using percentiles over averages for tracking request latencies

In a sorted list of 10 request latencies, how do you find the 75th percentile value

Why might a 99.999th percentile latency of 1000ms indicate poor performance

How does tracking the 95th percentile help in backend monitoring

What flaw does relying solely on minimum latency reveal in metrics tracking

PreviousTools for Monitoring Load Balancing
NextOptimization Strategies