Microservices architectures (MSAs) contribute to building complex distributed systems by decomposing monolithic systems into a set of independent microservices. This makes it possible to design, develop and deploy scalable and flexible systems. However, various unexpected changes could happen during execution, such as a service upgrade, a sudden increase of traffic, or an infrastructural failure. In this cases, how to react autonomously to these changes without outages becomes a challenge to consider. A PhD project has been launched to propose a self-healing microservices architecture, which can adapt dynamically to inside and outside changes without human intervention. In this paper, we present the first results of a systematic state of the art in the field of self-healing MSA systems. As an entry point of our research, we focus on self-healing triggered by upgrade changes. The initial contribution is a new component of a version manager in our self-healing MSA solution, in relation with service discovery elements. This approach can provide an autonomic version management on both the application level and the system level, and helps to control services upgrading changes. We plan to validate our proposition in a company project use case by deploying it in an emulated production environment, and applying a chaos engineering approach.