3 Questions
What is the difference between scaling up and scaling out in terms of increasing application capacity?
Scaling up involves buying more expensive hardware, while scaling out involves adding more machines.
What is the main purpose of measuring performance in terms of throughput and response time?
The main purpose of measuring performance in terms of throughput and response time is to assess the efficiency of an application in handling load.
What is the significance of AWS in creating scalable applications?
Amazon launched AWS in 2006, democratizing the ability to create scalable applications and making scaling out trivial.
Study Notes
- Performance of an application is how efficiently it can handle load
- Load is anything that consumes system resources
- Different ways to measure load depending on application use cases and architecture
- Performance is measured in terms of throughput and response time
- Capacity of a distributed system depends on architecture, implementation, and physical limitations
- Scalable applications should not degrade in performance with load increase
- Scaling up involves buying more expensive hardware, while scaling out involves adding more machines
- Cloud providers have made scaling out trivial
- Amazon launched AWS in 2006, democratizing the ability to create scalable applications
- Part 2 of the book explores core architectural patterns and building blocks of scalable cloud-native applications.
Test your knowledge on application performance, load handling, and scalability with this quiz! Learn about measuring load, throughput, and response time, and understand the differences between scaling up and scaling out. Explore the evolution of cloud providers and their impact on creating scalable applications. Whether you're a developer or a tech enthusiast, this quiz will challenge and expand your understanding of building scalable cloud-native applications.
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