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

The ability of a system, network, or process to handle increasing quantities of work or to be extended to meet that growth is referred to as **scalability**. Scalability is an important issue to consider while planning and creating applications in software architecture. It assures that the program can manage additional user traffic or data processing without performance problems or downtime.


There are several ways to achieve scalability in software architecture, including:
+ Horizontal scalability
+ Vertical scalability
+ Hybrid scalability


# Other considerations
In addition to choosing the appropriate scalability approach, there are several other factors to consider when designing scalable software architecture, including:
 
+ **Load balancing:** In a horizontally scalable system, load balancing is used to distribute the workload evenly across multiple machines or servers. This helps to ensure that no single machine is overwhelmed and that the system as a whole can handle the increased workload.
 
+ **Caching:** This is the process of storing frequently accessed data in a fast-access data store, such as memory, to improve the system's performance. Caching can help reduce the system's load and improve its scalability.
 
+ **Asynchronous processing:** This involves performing tasks in the background rather than in real time. This can help improve the system's performance and scalability by allowing it to handle multiple tasks concurrently.
 
+ **Data partitioning:** This is the process of breaking a huge dataset into smaller, more manageable shards. This can assist in increasing the system's scalability and speed by allowing it to handle data in smaller pieces.
 
By considering these factors and choosing the appropriate scalability approach, software architects can design and build scalable systems that can handle an increase in workload without experiencing performance degradation.
 
# How to scale architecture

Here are a few more points to consider when designing a scalable software architecture:
 
+ **Modular design:** A modular design, in which the program is divided into smaller, independent components, might make scaling the system easier by allowing components to be added or deleted as needed.

+ **Automation:** Automating tasks, such as provisioning and configuring new resources, can help to speed up the process of scaling the system and reduce the risk of errors.
 
+ **Monitoring and monitoring tools:** Monitoring the performance of the system and using monitoring tools can help identify potential bottlenecks or issues that may impact scalability.
 
+ **Failover and redundancy:** Implementing failover and redundancy can help ensure that the system remains available and functional even if there are issues with one or more components.
 
By taking a proactive approach to scalability and considering these factors, software architects can design systems that can scale smoothly and efficiently as the workload increases.


Get an overview of scalability and some considerations regarding architecture scaling.

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 Scalability

Overview