This article presents a Systematic Mapping Study (SMS) on tools used for deploying microservices in industrial environments, based on research published between 2019 and 2024. The aim is to provide a comprehensive overview of the current state of deployment tools and platforms, identifying key technologies, their applications, and limitations. The study follows the methodology of Petersen and Kitchenham, including the formulation of research questions, selection of relevant articles, and pattern identification. Over 1,200 articles were initially reviewed, resulting in 121 selected studies based on defined inclusion and exclusion criteria. Findings show a notable increase in research applicability after 2021. Kubernetes emerges as the most scalable solution, though it requires significant configuration and expertise. Docker Swarm offers easier implementation but is less robust for complex enterprise needs. OpenShift provides strong security features and enterprise support, but its licensing costs and vendor lock-in are significant drawbacks. The mapping highlights the strengths and limitations of current deployment solutions and points to key gaps in areas such as performance optimization, security management, and real-time monitoring particularly in dynamic and container-rich environments. These issues affect the reliability and efficiency of microservices, underscoring the need for better automation, interoperability, and standardized practices. This study serves as a foundation for future research, especially in underexplored areas such as tool integration, empirical validation, and deployment strategies in hybrid infrastructures. Ultimately, a deeper understanding of deployment tools is essential for researchers and practitioners to improve the quality, scalability, and security of microservices in industrial settings.