Visualizing Scalability and Elasticity in Cloud Computing


Cloud computing is a hot topic these days. You’ve probably heard the term, but you may not know what it means or why it’s important. Cloud computing has been around since the 1960s, when researchers at Stanford University first discussed using remote servers to share resources with other computers connected over long-distance telephone lines.


Scalability is the ability to increase or decrease capacity. It can be achieved by adding and removing resources, making it an important component of elasticity. In cloud computing, scalability allows you to scale up and down as needed.


Elasticity is the ability to scale up and down. It’s a key feature of cloud computing, and it allows you to increase or decrease your resources as needed. For example, if you have an application that’s getting a lot of traffic on a Friday night in the summertime but not much during the rest of the year, you can use elasticity to scale up those resources during peak times so that they’re available when they’re needed most.

The process for scaling up or down depends on what type of service you’re using: some services will automatically scale based on demand while others require manual intervention from an engineer before scaling occurs. You’ll want to monitor this process closely so that nothing goes wrong while trying to scale up quickly (or vice versa).

Elasticity works best when used alongside other cloud computing paradigms such as automation and orchestration–but be careful not too rely too heavily on any one technique; if everything goes wrong at once then none will work!

You can move between clouds without worrying about your application.

You can move between clouds without worrying about your application.

If you are using the right tools, you can move between clouds without worrying about your application.


We’ve seen how to make the most of your cloud computing resources. You can easily move between different providers, and even between on-premise and public cloud environments, with no impact on your application or data.

Gigi Endries

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