The nuances of the word NoOps are similar to what "serverless" means. Serverless literally means "no server". But actually the server is involved, and the server is somewhere else. With this in mind, NoOps is, in a sense, turning the work of operations into someone else's problem.
An advanced operation team should be focusing on the cloudization and automation of infrastructure. These will be key elements of NoOps. However, it is difficult to automate all operations, and there is no need to automate everything. Cloud computing is the same. You don't have to migrate your entire IT system to cloud infrastructure. On the one hand, it is not a good idea to dedicate personnel resources and costs to repetitive tasks.
Consider the testing tool "Chaos Monkey" developed by Netflix. Using this tool to deliberately cause system failures, engineers can consider mechanisms to increase resilience to system failures. This method directly reduces the load on the operations team. It is this kind of resilience and efficiency that IT teams strive to achieve with NoOps. More specifically, choose systems that don't require someone to manually check that they are working as expected, and implement automation.
Automation
The goal of developers and engineers is to design a "self-healing system". Systems will also need to be designed that give clear alerts when self-healing fails. The first thing self-healing must do is automatically resolve the root cause of the problem. Ideally, there should be no impact on operations at all, but minimizing it is fine.
There are the following methods for implementing self-repair. In the event of a failure in software that has been moved to production, engineers can create an executable file to monitor the failure using the command-line tool PowerShell or Bash script. The script alerts the engineer when a particular problem reoccurs, and at the same time executes various commands to reboot the system.
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