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Cloud platforms require a proper understanding of resource configuration and provision.
While many companies address this issue by manually creating architecture diagrams, the error-prone process demands time and effort.
However, teams can easily skip the risk of error and identify misconfigurations using cloud visualization tools.
What Is Cloud Visualization?
Simply put, cloud visualization means representing information about cloud infrastructure and resource relationships through a diagram or chart.
It makes the process of understanding the cloud environment seamless for organizations.
Visualizing data has become a trend in the business landscape that involves cloud computing and big data.
It allows you to check out an ever-changing scenario of the cloud environment in a single glance.
Reasons for Visualizing Cloud Infrastructure
There are countless reasons for cloud data visualizations.
Here are some mention-worthy ones.
With cloud visualization, companies can map the relationship between current cloud resources and determine configuration details.
This is useful for both seasoned and new users to understand continuously changing cloud environments and their elements.
Nowadays, companies store mission-critical data on various cloud platforms.
Therefore, it is imperative to ensure data security and compliance.
With cloud visualization tools, you’re able to check the compliances.
It will also benefit the auditing or compliance teams to audit your cloud environment quickly.
We live in the era of continuous integration and deployment when teams regularly update their cloud infrastructure environments.
Dynamic visual diagrams help teams review resource and security-related configurations.
Users can easily locate invalid and unnecessary elements and work to fix the issue on priority.
Why are Automated Cloud Visualization Tools Better Than Pre-Drawn Templates?
It is possible to manually draw static infrastructure diagrams and update them when a change happens.
However, it will take much time for your engineers or external consultants.
Since these tools automatically generate and update diagrams, you save valuable resources and time.
Now, you should not have a doubt about choosing visualization tools over the manual approach.
Cloud infrastructure visualization helps organizations point out all crucial cloud governance data in place.
This platform can generate diagrams to visualize the difference between the intended structure and the existing infrastructure.
Thus, you’re free to prevent security loopholes and downtime.
The filters of Lucidscale lets you focus on particular elements like virtual machines, VPCs, zones, etc.
The automated cloud documentation can also be stored centrally on wiki pages or Confluence.
This feature will keep every team member and the external stakeholders on the same page.
Besides, the platform uses 256-bit encrypted connection for dataprivacyin transit and at rest.
Cloudcraft
Cloudcraftis a smart cloud visualization tool for AWS diagram visualization.
On this platform, it takes only a few minutes to create a professional architecture diagram.
It is also available as an API for scanning AWS accounts.
This attribute is highly beneficial for pinpointing anomalies and reviewing business forecasting on cost and management.
Organizations can also include the data in presentations, reports, and wikis.
Apart from these features, Hava also facilitates versioning data on-demand, such as snapshots and historical diagrams.
This information will work as evidence that it’s possible for you to submit to compliance and security auditors.
It also makes detailed inspection of individual resources configuration possible.
Besides, it lets you eliminate the time-consuming process of creating manual diagrams.
Fugue-generated automatic maps and diagrams illustrate cloud compliance to your team, management, and auditors.
These also assist you in analyzing historical snapshots.
From automated visual data, it is easy to identify critical issues that may cause misconfiguration risks.
It also reveals unexpected web connection connections and orphaned cloud resources.
Moreover, this platform allows visualization of compliance and its violation as per your cloud architecture.
It uses maximized security measures to connect with your cloud account.
After connecting, it is quite simple to get diagrams and documents on AWS architecture.
To meet varied needs of visualizing different cloud architectures, Cloudviz offers diagram generation profiles.
Besides these profiles, users can personalize diagram generation tweaks and use them later as their profiles.
If necessary, transferring the synced resource properties is also feasible.
With the automated profile, you might schedule your AWS environment diagrams and documentation.
This cloud visualization tool also allows embedding generated diagrams into the different dashboard or wiki pages.
Cloudockit
Cloudockitis an example of advanced-level cloud documentation software that can generate architecture diagrams automatically.
It supports cloud providers like Azure, AWS, Google Cloud, Kubernetes, Hyper-V, andVMWare.
It can understand all the elements deployed in your cloud.
Hence, it can easily locate any potential security threats or misconfiguration.
Since this platform automatically monitors all the changes in your environment, you save on energy and money.
With Cloudockit, companies can closely monitor their cloud expenditure to avoid surpassing their budgets.
It also allows exporting data in Excel, PDF, and JSON format.
Diagrams generated here are compatible with popular diagramming tools, including Visio,Lucidchart, and Diagrams.net.
This platform supports 11 different drop-off locations for diagram and doc storage.
Hence, you’ve got the option to get the update where it is most convenient for you.
Holori
Holorihelps you in cloud visualization andcost optimizationby letting you create multi-cloud diagrams.
It visualizes your cloud infrastructure with the help of a template library, customizable elements, and vendors icons.
Visualizing the complete infrastructure is possible across projects, departments, and geographical zones.
This platform can also alert you upon identifying points of failure.
It supports real-time collaboration with teammates and lets users markup directly in the document or diagram.
you might readily share the completed project with other teams.
Companies can also export and deploy the cloud architecture by connecting Holori to their cloud provider.
Moreover, cloud visualization diagram export is also possible in JSON, PDF, and PNG formats.
While creating diagrams, you do not need to search and download symbols and icons separately.
This platform comes with a canvas of infinite size.
Above all, CloudSkew has a minimal UI without any complexworkflowsthat you might run without difficulty.
Both the diagram generation and update take place automatically and thus, preserve your time.
Hyperglance is a scalable platform that grows with your business.
One can export diagrams to PNG, CSV, orVisio formats.
Users can even automate the export process using REST API or schedule it to a specific storage account.
Kumolus
WithKumolus, users get to visualize their cloud services without any coding.
It takes only one click to dynamically visualize your existing cloud facility and connection topology in real-time.
Companies can also import their current deployments with read-only access to skip any security risk.
As you draw a diagram on this tool, it will automatically generate code.
Thus it saves you from hours of coding efforts and eliminates any chance of errors.
This platform supports stack diagrams for networks and applications.
Kumolus allows you to set up RBAC controls for multiple individuals and teams to visualize and provision cloud platforms.
Automated cloud visualization solutions make cloud data demonstration effortless than the manual approach.
Here, we discussed top platforms that offer data visualization services.
To excel incloud computing, you might want to get additional training from different free resources.
