Scaling in the Atlassian Cloud

Your system grows with your needs

There are many good reasons for the Cloud: For example, you can benefit from better performance, lower costs, future assurance or higher productivity. But here we want to take a closer look at another advantage - namely better and faster scaling in the Atlassian Cloud.






How does scaling work in the Cloud?

Scalability is an important requirement companies have for their systems. So you need to make sure that as your business grows, your Cloud systems simply grow with it. They need to be scalable. Scalability means that computing power, server capacity, and other resources grow or shrink exactly as you (or your company) need them. And that's exactly what the Atlassian Cloud allows you to do. 

Why do I scale better and faster in the Cloud than in an on-premises solution?

The answer to this question has primarily to do with the effort involved: The manual effort for scaling, as you know it from your on-premises instances, is significantly less in the Cloud than in the server and data center - or even completely eliminated! 

Scaling on-premises not only requires long and careful planning, but also consumes time, resources, and the capacities of your employees. As your business grows and you have more users, your IT professionals will either need to add more computing power (CPU, RAM) to existing machines (vertical scaling) or buy new servers/machines (horizontal scaling). To make matters worse, your team has to estimate roughly how much "more" is needed. If this estimate is way off, you will either pay too much (for resources you don't need) or you will have to make multiple adjustments and upgrades.

It's different in the Cloud: similar things happen here, but since the corresponding resources - i.e. the machines and systems - are already available on a large scale, there is no need for a lengthy, time-consuming coordination and upgrade process like you would have "in-house".


Automatic, manual and
planned scaling in the Cloud

Automatic scaling

Most companies prefer automatic scaling. For example, if the number of hits on your company's website suddenly increases, then your Cloud solution scales itself - without having your website crash. On the other hand, If you need less computing power, your system automatically scales down. So you only pay for what you actually use.

Manual scaling

You can't compare manual scaling in the Cloud to an on-prem instance. In the Cloud, all you really have to do is press a button, whereas in the server and data center, you have a lengthy process of approvals, downtimes, hardware purchases, etc. The problem is that it requires an actual person to scale and as such, delays or errors can occur.

Scheduled scaling

This is an intermediate solution: scheduled scaling does not scale up or down automatically, you set the solution (based on experience) to scale up or down at specific times. If your needs are almost always constant, this option is a good choice, but beware that unexpected peaks or dips cannot be absorbed.



Scaling and security - do they go together?

Even today, companies that use on-premise solutions cite the security factor as the main reason why they do not move to the Cloud. But these concerns are no longer up to date: 94% of companies that have moved to the Cloud confirm that their security situation has improved! 

But does the Cloud stay secure even if you scale as much as you like? Yes! Because behind it lies a system that combines rigorous security testing, extensive disaster recovery planning and end-to-end data encryption to ensure the highest level of security. In addition, good Cloud systems follow a ZeroTrust approach - that means security checks at every endpoint and for every user in the company. Atlassian ensures that, for example, a vulnerability in one system or login does not put everything else at risk. 


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This content was last updated on 12/20/2022.

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