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

**Bottlenecking** occurs when a particular component or process in a system becomes a limiting factor that hinders the system's overall performance. In a scalable software architecture, bottlenecking can occur when the system can't handle the increased workload efficiently, resulting in poor performance or even downtime.


 
# Potential causes

There are several potential causes of bottlenecking in scalable software architecture, including:
 
+ **Inefficient algorithms or data structures:** If the algorithms or data structures used by the system aren't optimized for the workload, they might become a bottleneck as the workload increases.
 
+ **Insufficient resources:** If the system doesn't have enough resources, such as memory, CPU, or storage, to handle the increased workload, it might become a bottleneck.
 
+ **Inefficient use of resources:** If the system isn't using its resources efficiently, it might become a bottleneck as the workload increases.
 
+ **Inefficient communication between components:** If the communication between components of the system isn't efficient, it might become a bottleneck as the workload increases.
 
+ **Inefficient use of network resources:** If the system isn't using network resources efficiently, it might become a bottleneck as the workload increases.
 
To avoid bottlenecking in a scalable software architecture, it's important to design and build the system with efficiency in mind. This might involve optimizing algorithms and data structures, ensuring that the system has sufficient resources, and designing the system to use its resources and communicate with other components efficiently. It's also important to monitor the system and identify potential bottlenecks as they arise in order to address them before they become a problem.


Get an overview of potential causes of bottlenecks in scaling architectures and how to avoid them.

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

Bottlenecks

Overview

Potential causes