Cloud Management with Automatic Self-Healing Services: A Comprehensive Study

Now a days all the applications are deployed on the cloud because of the CI/CD (continuous integration and continuous delivery/continuous deployment) capability of cloud computing. In order to manage a large number of applications simultaneously, cloud infrastructure must be massive. In order to keep the cloud running well, it is necessary to keep an eye on the resources and the stream of incoming traffic. This has led to a dramatic increase in the complexity of cloud systems as they continue to grow in size and integrate more and more resources. There is an increasing demand for autonomous systems and services to manage these complex and heterogeneous cloud infrastructures, particularly at higher scales. While there are a number of systems that can analyze the threshold and handle these loads, the majority of them require human intervention to manage the resources and, by extension, the load. Therefore, self-healing or self-management of the cloud load is currently trending heavily. In this research, we examine the different approaches with a primary focus on self-healing as a key component of autonomous cloud recovery management. After that, this study suggests a method that uses a layered structure to self-heal the cloud load to a good amount, which increases reliability and guarantees high availability inside a decentralized, hierarchical cloud architecture.