There are many reasons why you would want to visualize your AWS, GCP and Azure environments. Knowing exactly what is running based on the actual resources running in your cloud environments is probably the number one reason to use an automated Cloud Visualization Tool over manually drawing your network diagrams.

Cloud computing offers an attractive career path for people who are looking to work in IT or for people already established in the traditional IT landscape who want to re-skill and enter the world of cloud computing.

The Increasing adoption of cloud based infrastructure by businesses large and small is a testament to the benefits of moving from on premise hardware to infrastructure as a service or the cloud as it more commonly referred.

Accurate AWS deployment diagrams can play a significant role in monitoring and internally communicating the design of well engineered AWS infrastructure.

Auto-scaling is the capability built into AWS that allows you to ensure you have the right number of EC2 instances provisioned to handle the load of your application. Using Auto-scaling, you can remove the guess work in selecting how many EC2 instances are required to provide an acceptable level of performance for your application without over-provisioning resources and incurring unnecessary costs.

Accurate AWS network topology diagrams play a major part in monitoring and internally communicating the design of well engineered AWS infrastructure.

When you are working with Azure cloud computing infrastructure, there are many benefits to creating and maintaining accurate Microsoft Azure diagrams.

You can effectively communicate your Azure network design to both technical engineering staff and also management where necessary.  If you are onboarding new engineers, or engaging external consultants, you can bring them up to speed very quickly with a well laid out infrastructure diagram.

If you are taking on a new client or project, having access to infrastructure documentation is a massive advantage when trying to understand exactly what is running where. Back in our cloud consulting days, diagramming a new client's infrastructure was always the first job in the induction process. It was often time consuming, laborious but necessary in establishing exactly what was going on prior to starting work on improving or redesigning infrastructure.

Amazon Aurora is an AWS RDS database service that brings together enterprise performance and scalability at pricing that’s more associated with harder to scale open source solutions.

If you are developing on AWS or any other platform for that matter, you will understand the need for good version control. Git repositories have for a long time been an effective method of controlling software versions, enabling multiple developers to work on the same code base without overwriting each other’s code and providing the opportunity to roll back code in the event of a release introducing unforeseen behaviours, or bugs as they are more commonly referred to.

AWS Fargate is a service that provisions serverless compute resources to run AWS ECS and EKS containers.  AWS states that Fargate allows you to focus on building your applications when you let Fargate provision and manage the infrastructure required. Think of it as containers on-demand with no underlying manually created infrastructure that are quick to launch and scale, where you manage everything at the container level.