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Errors to Avoid When Visualizing Your Cloud Infrastructure

Without a cloud infrastructure that fits your needs, it could be difficult or even impossible to reach your cloud computing goals. The cloud infrastructure encompasses the hardware and software that makes up the cloud computing environment.

All the individual components work together to make the infrastructure maximally effective. That's why you should consider visualizing your cloud infrastructure before investing in it.

How to Visualize Your Cloud Infrastructure

Numerous providers offer cloud infrastructure visualization software, including Hyperglance and Cloudcraft. After people choose a service and subscribe to it, they can get started with making a cloud visualization. Often, previous experience with data visualization tools is not necessary to get results thanks to the user-friendly interfaces.

Using one of those platforms is a good start, but there are still some mistakes to avoid when taking this necessary step in building your cloud infrastructure.

1. Not Choosing a Visualization Tool Compatible With Your Cloud Provider

Many of the visualization tools on the market work with particular brands of cloud services. For example, some show visualizations for Microsoft Azure, while Cloudcraft is a tool specific to AWS, also known as Amazon Web Services. It's essential people do the necessary research and ensure that a tool they're interested in works with the cloud provider they're using.

It's common for the companies behind visualization platforms to offer free trials. Taking advantage of those offerings allows a user to see how the software works, including whether it has the appropriate compatibility.

2. Failing to Make Compliance a Priority

People who store sensitive data like medical records or credit card details in the cloud typically have to satisfy auditors and indicate that they have stored data in a manner that aligns with regulatory standards. Additionally, the arrival of the General Data Protection Regulation (GDPR) made it even more essential for businesses and other parties that handle information to make data storage choices that align with it.

More specifically, it's not sufficient to merely have a visualization that only shows the number of servers. An excellent visualization should indicate the locations of data.

Some visualization tools have a sharing functionality that allows distributing copies of data visualizations to internal or external parties. Then, it's easy to offer that information when requested. Also, Fugue is a tool that allows people to keep compliance in a top-of-mind position while making their cloud infrastructure visualizations.

It handles compliance needs to prevent costly misconfigurations in the cloud infrastructure by using a governance automation feature. As such, users enjoy more visibility during the process of creating their cloud infrastructure visualizations and can take compliance requirements in stride.

3. Not Taking Time to Verify the Data in the Visualization

Today's visualization tools are feature-rich and are user-friendly enough that people can start making beautiful diagrams of their cloud infrastructures in minutes. But, they should keep in mind that data visualizations can mislead viewers through things as seemingly innocent as the use of colors. It's also possible that someone could make an honest mistake when inputting information for the visualization.

People reviewing the cloud infrastructure visualizations must take care to verify accuracy and not become dazzled by a visualization that's only complex or eye-catching. Those characteristics are not problematic by themselves, but a visualization filled with incorrect data is useless no matter how pleasing it looks.

Setting aside plenty of time to get acquainted with a data visualization tool is a valuable way to avoid data mistakes caused by people who haven't yet grasped how to work with it.

4. Limiting the Visualization With Physical Restrictions

The image of physical rooms filled with servers still dominates the memories of many computing experts. But, cloud computing makes parameters like the size of a space irrelevant. Creating an adequate cloud visualization requires doing away with the limitations posed by physical hardware. If people involved in overseeing or creating the visualization seem stuck in the old way of thinking, they should strive to think beyond what they knew.

One of the reasons why cloud computing is so popular is that it's scalable. With that in mind, people making cloud infrastructure visualizations should aim to have future-oriented perspectives that are only limited by a company or client's budget.

Being Proactive Is a Worthy Preventative Measure

Besides remaining aware of these specific errors, people working with cloud visualizations should try to adopt a proactive stance. Asking, "Am I overlooking something that invalidates this visualization and the data in it?" could stop preventable blunders.


About the Author

Kayla Matthews is a tech-loving blogger who writes and edits Follow her on Twitter @productibytes to read all of her latest posts!
Published Friday, March 01, 2019 7:18 AM by David Marshall
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