Cloud computing still seems like a magic solution for many technology managers: migrate the data, migrate the applications, and everything will be fine. But what these professionals receive in return are bottlenecks in communication with servers and poorly optimized software.
Even if the solution is amazing, implementation and planning are crucial. If you are dealing with a slow cloud application issue today, we have prepared this article for you to resolve the issue as soon as possible. Come on?
It’s Rarely The Cloud’s Fault
If you’re having trouble with cloud computing applications, you should start your search with that statement. Many managers waste important time from their work trying to find ways to get around the slowness of software by its structure, which only causes more expenses and never solves the problem entirely.
Something very common in migration processes is to port an application’s local code to the cloud without considering the fundamental differences between a remote framework and its internal servers — for which the code was originally written. Therefore, a slow cloud application is almost always to blame for this dynamic between storage, databases, and remote processing.
Want an example of this? Increase your cloud provider’s resource offering and see if this is enough to improve program performance. When the problem is in the app, IT notices a small improvement, sometimes having to spend 50% to 60% more on its cloud computing contract for an insufficient solution.
What Can Slow Down A Cloud App
If it’s not the cloud’s fault, where’s the problem? Much of it lies in the relationship between the user, software, and the data center. Here are the most common suspects in these cases:
The App Doesn’t Handle Cloud Data Well
In a corporate environment, how the app accesses data in the cloud is critical to productivity. When this transition is not done so well, the result is a preliminary data model design or an indexing type that is not optimized for handling in that application in question — for example, if the data is stored in SQL and the software takes reads.
The App Faces A Bottleneck.
And it’s not just the data management model that can limit the capacity of your cloud application. As good as the code and architecture are, it is only as efficient as its weakest point.
These bottlenecks almost always form in the interaction between the application and the cloud, never within it. The most common examples are web servers that make it difficult for users to communicate with the app’s interface, routers, middleware, very linear processing, etc. Any obstacle between the employee and the data in the cloud is one more element to bring down productivity.
The Application Uses An Asynchronous Model Of Communication
Another good example of this is the excessive use of synchronous I/O in program operation. When it needs to communicate with the cloud, it is problematic to wait for a response from each action to return feedback to the user. Asynchronous communication will allow the app to give this feedback faster while processing the rest is done in the background.
The App Doesn’t Have A Good Interface
Of all the reasons that software in the cloud can be hampered, it is common for IT managers to end up not paying attention to this obvious point — literally in front of the user.
Using software in a cloud computing model can slightly change how users access, edit, and view information. A poorly tuned UI creates small obstacles in every action, which add up to a big loss of productivity at the end of the day. Unclear activities do not generate major problems, such as data loss due to misuse.
How To Increase Productivity With Cloud Apps
Now that you know that cloud slowness can be blamed on the app, it’s time to learn some tips to resolve the issue. The upside is that focusing on the problem makes IT’s job easier, but keep in mind that the work will still be hard. Check out:
Consider A Complete Refactoring
This may not be the quickest solution, but it will be the most effective. Planning to rebuild the application can address issues with I/O, how it accesses data in the cloud and even usability issues. It may seem like a lot of work at first, but the productivity benefits can be much more worthwhile.
Bring More People Into This Process
This refactoring needs to be multidisciplinary. This means including designers, security experts, developers, cloud managers, and even some users to polish the program as best as possible.
The truth is that you can’t make the most of cloud computing without a commitment from all company areas. This type of reconciliation you should seek and encourage in all departments.
Invest In Training
When you do the most for the application and the cloud, there is one end left to work with, a very important one: the user. There are times when, yes, the employee interacting with the application is part of the problem.
In this case, it is good to invest in constant training and internal communication between IT and other departments. Make the entire company buy into the cloud computing idea and encourage them to use the application in the most optimal way possible. If more obstacles arise to slow the app down, they’ll even have the know-how to help you identify and fix the problem.
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