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Understanding elasticity and scalability in cloud computing

Blog post from Aerospike

Post Details
Company
Date Published
Author
Matt Sarrel
Word Count
1,967
Company Posts That Month
8
Language
English
Hacker News Points
-
Post removed?
No
Summary

Scalability focuses on increasing a system's capacity to handle higher workloads over time, often through vertical scaling (increasing resources within an existing server) or horizontal scaling (adding new servers). Elasticity ensures a system can dynamically respond to real-time changes in workload demands by adding or removing resources as needed. While scalability and elasticity overlap, they address different operational challenges, with scalability being more suitable for predictable growth scenarios and elasticity ideal for dynamic, fluctuating workloads. Both concepts are essential for optimizing resource usage and maintaining performance during periods of high demand, such as e-commerce sales events or video streaming surges. By understanding the principles of both scalability and elasticity, businesses can build cloud systems that balance cost-efficiency with performance, enabling them to adapt seamlessly to changing demands and support dynamic workloads.

Trends Found in this Post
Trend Post Mentions Total Month Mentions Posts Companies MoM
Real-time 17 3,671 840 202 +19%
Serverless 3 547 133 74 -30%
Kubernetes 2 1,208 158 73 -30%
Data Pipeline 1 498 200 70 -28%
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