Essential Skills for an Azure Cloud Architect in 2022

Although AWS may have the market share advantage over other cloud platforms, Azure continues to take market share from Amazon. It’s not surprising that organizations are searching for IT professionals who can use Azure.
Learning as much about Azure as possible can make a significant difference in your professional life, whether you are an employee or contractor. These are the three essential skills that an Azure architect should have in 2022.
1. IT Security
Security is always top of your list of things to learn. Are you sick of hearing about security problems? Despite being security-breach tired, security is still a top skill that Azure architects will need to master in 2022.
Cybersecurity isn’t going to get easier. Security researchers and hackers are always finding new flaws and exploits in the system. This system is also huge.
Cybersecurity doesn’t end at the firewall. Cybersecurity must take into account all components of the IT system. It is possible to prevent database injection attacks, but they still happen. For the moment, let’s take a look at the Log4J vulnerabilities. The Log4J vulnerability that was the subject of headlines was primarily an injection attack. The Log4J vulnerability could easily have been mitigated by properly sanitizing data before saving it to a database. Log4J attacks can be prevented by properly configured firewalls.
Let’s also consider IoT devices. IoT devices, particularly consumer-oriented devices, have a long history with vulnerabilities. This is a problem that has become so widespread that many governments are looking into legislation to address IoT security.
Cybersecurity experts recommend that IoT device users segregate their devices from other in-home networks. Researchers suggest that consumers pay for three routers to separate their IoT devices from the rest of their home networks. It’s not an elegant solution but it works. This solution is highly recommended by most security-aware IT professionals to consumers for IoT security.
Both of the security issues listed above can’t be addressed by a firewall. Both problems could be addressed in different parts of the tech stack. These issues could have been prevented at an infrastructure level, even if they were not addressed at the software level. Employers will pay a lot to have qualified techs recognize these issues and implement mitigations that reduce infrastructure cyber-attack vectors.
2. Artificial Intelligence (AI).
It would be great if there was an assistant that could automatically identify security risks, write code, and optimize your network. Machine learning makes it possible. Although it might seem impossible to use machine learning to accomplish these tasks, it is possible. It’s not easy to harness machine learning to solve complex tasks.
I understand what you are saying. Programmers are experts in machine learning and artificial intelligence. They are not, however, I would argue. Platforms like Azure or Google Cloud Compute rush into creating machine learning projects. Microsoft is no exception. Microsoft even offers a service called Azure machine learning that allows you to build machine learning models on a large scale.
Although software engineers may be the most adept at using machine learning SaaS platforms such as Azure, employers still require qualified technicians who can use these machine learning solutions. These professionals must also be able to provide these services.
Softwar isn’t the only place where machine learning is possible

Author: Victoria