Gain insights into distributed systems, learn architectural patterns like replication and sharding, and explore Apache Spark and Druid to design and develop effective distributed applications.

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Gone are the days when monolithic applications were the norm. Most applications that we use today are too complex for that type of construction. Instead, most applications that appear as a single unit are actually built as a collection of inter-operating but independent computational components. Developers are expected to have mastery over a programming language or two. Moreover, they should also know the basics of distributed systems in order to succeed.

In this course, you’ll learn what a distributed system is, followed by the challenges unique to distributed systems. You’ll cover popular architectural patterns for achieving targets like replication and sharding. You’ll finish with a study of two popular distributed systems: Apache Spark and Apache Druid.

With the knowledge gained through this course, you’ll be able to design and develop distributed systems. You’ll be able to make optimal design and architectural choices based on the application requirements.

Introduction to Distributed Systems for Dummies

In distributed systems, balancing load evenly across multiple nodes is one of the fundamental problems that every system owner needs to solve. 

We ended the last lesson with a sneak peek of the term load balancers. Let's discuss more in this lesson.

## What is a load balancer?

A **load balancer** (LB) is basically a node in a distributed system that tries to evenly distribute traffic among the actual server nodes.


In distributed systems, balancing load evenly across multiple nodes is one of the fundamental problems that every system owner needs to solve. 

We ended the last lesson with a sneak peek of the term load balancers. Let's discuss more in this lesson.

# What is a load balancer?

A **load balancer** (LB) is basically a node in a distributed system that tries to evenly distribute traffic among the actual server nodes.


Learn about load balancing and its importance.

Introduction

What Distributed Systems Achieve for Us

Data in Distributed Systems

Communication Between Nodes

Data Processing in Large Scale

Distributed System Architectural Patterns

Case Study 1: Apache Spark

Case Study 2: Apache Druid

Conclusion

Load Balancing in Distributed Systems

What is a load balancer?