Delve into software architecture, exploring key principles, patterns, and quality attributes. Gain insights with case studies and projects, enhancing your practical skills in system design and optimization.

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This course offers a deep dive into the world of software architecture. It’s designed to equip software developers and architects with the knowledge and skills necessary to create, evaluate, and optimize software systems. The course covers a range of critical topics to ensure a strong foundation in architectural principles and strategies.

You will start by exploring architectural concepts and the relationship between quality attributes, requirements, and architectural styles. You’ll also examine different architectural patterns and strategies, including centralized and decentralized architecture, layered pattern, broker pattern, and microservices. Then, you’ll go into the details of important quality attributes needed while developing an architecture.

The course is equipped with multiple case studies and two projects to further enhance learning. These real-world scenarios and hands-on projects are strategically incorporated to give learners practical insights.

Software Architecture in Applications

# Overview 
Load balancing in software architecture refers to the process of distributing the workload evenly across multiple machines or servers to improve the system's performance and fault tolerance. This helps ensure that no single machine is overwhelmed and that the system as a whole is able to handle the workload efficiently.
 
There are several approaches to implementing load balancing in software architecture, including:
 
# Hardware load balancing

**Hardware load balancing** is a technique for spreading network traffic over numerous servers so that no one server becomes overburdened. This is achieved by using specialized hardware devices called load balancers, which sit between client devices and the servers.

**Load balancers** operate at the network layer (layer 4 of the OSI model) and use algorithms such as round robin, least connections, and IP hash to distribute incoming traffic among the servers.

## Example
Here are a few examples of how hardware load balancing can be used in different scenarios:

### Web servers

In a web server environment, a load balancer can distribute incoming HTTP and HTTPS requests to multiple web servers. This helps ensure that the web servers are utilized effectively and prevent a single server from becoming a bottleneck.

### Database servers

 A load balancer can also be used to distribute database queries across multiple database servers. This ensures that the databases are used efficiently, and this avoids a situation where a single database server becomes overloaded and slows down the entire system.

### Virtualized environments

In virtualized environments, multiple virtual machines can be running on a single physical server. A load balancer can be used to distribute network traffic to the virtual machines, allowing the virtual machines to be utilized effectively and prevent a single virtual machine from becoming overwhelmed.


Overall, hardware load balancing helps ensure that network traffic is distributed evenly and optimally, improving the performance and reliability of the system as a whole.
 
# Software load balancing

The technique of dispersing network traffic among numerous servers using software-based algorithms rather than specialized hardware devices is referred to as **software load balancing**. It's typically implemented in software applications, either as part of the application itself or as a separate service that sits in front of the application.

Software load balancers use algorithms similar to those used in hardware load balancing, such as round robin, least connections, and IP hash, to distribute incoming traffic among the servers.

## Example

Here are a few examples of how software load balancing can be used in different scenarios:

### Application servers


 A software load balancer can be used to distribute incoming requests to multiple application servers. In this way, we can be sure that the application servers are being used in the best way possible and prevent any one server from getting too busy. If one server is doing too much work, it could slow down or even crash the system, thereby neccessiating the task to spread out the workload across multiple servers. By doing this, the system can handle more traffic and keep running smoothly.

### Cloud computing environments

 In cloud computing environments, software load balancing can be used to distribute network traffic across multiple virtual machines. To make the most out of virtual machines and prevent any one of them from getting overloaded, it's important to use them efficiently. When a virtual machine is assigned an unmanageable workload, it can cause the entire system to slow down or even fail. Distributing the workload across multiple virtual machines ensures that the system can handle more processing and operate smoothly.
 
# Network load balancing

**Network load balancing** is a method of distributing network traffic across multiple servers to ensure that no single server becomes overwhelmed. The goal of network load balancing is to achieve optimal performance, reliability, and scalability of a network by distributing the workload evenly across multiple servers.

Network load balancing operates at the network layer (layer 4 of the OSI model) and uses load-balancing algorithms to distribute incoming network traffic among the servers. The load balancing algorithms determine which server should receive each incoming network request based on various factors such as the current workload of each server, the network latency between the clients and servers, and the availability of each server.

There are several commonly used load-balancing algorithms including:
- **Round robin:** In this, incoming requests are distributed to the servers in a sequential manner.
- **Least connections:** In this, incoming requests are directed to the server with the fewest current connections.
- **IP hash:** In this, the client's IP address is utlized to select which server to send the request to.

More details of these different techniques will be discussed later. 

Get an overview of load balancing and its types.

Getting Started

The Architecture Meta-Frame

Architectural Styles and Strategies

Architectural Styles and Strategies

Scalability

Availability

Load Balancing

A Basic Load Balancer

Security

Caching

Web Architecture

Case Studies

A Basic MVC Data Flow

Conclusion

Introduction to Load Balancing

Overview

Hardware load balancing

Example

Web servers