May 1, 2024
Updated May 10, 2025
18 minute read
Scalability, at its core, refers to a system's ability to handle a growing amount of work or its potential to be enlarged to accommodate that growth. Imagine a small lemonade stand that becomes incredibly popular. If the stand can efficiently serve an increasing number of customers by, for example, adding more staff or a bigger pitcher without long waits or a decrease in lemonade quality, it's demonstrating scalability. In the digital world, this means an application, network, or infrastructure can maintain or even improve its performance and cost-effectiveness as the number of users, data volume, or transaction rates increase. This concept is fundamental in today's technology landscape, ensuring systems can adapt smoothly whether a website's user base explodes overnight or a company steadily expands its operations.
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Reading list
We've selected four books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Scalability.
Provides a comprehensive overview of scalability, covering the principles, patterns, and practices for designing and building systems that can handle increasing demands. It is an excellent resource for software engineers and architects who need to understand how to design and build scalable systems.
Microservices are a popular approach to building scalable systems, and this book provides a practical guide to designing and implementing microservices-based systems. It covers topics such as service discovery, load balancing, and fault tolerance.
Provides a comprehensive overview of scalability in computer networks. It covers topics such as network architecture, routing algorithms, and traffic engineering. It valuable resource for network engineers and researchers who need to understand how to design and build scalable networks.
Provides a practical guide to designing and implementing scalable data architectures. It covers topics such as data modeling, data storage, and data processing. It valuable resource for data engineers and architects who need to build scalable data systems.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/4xv7ga/scalabilit
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