Abstract A multi‐tenant microservice architecture involving components with asynchronous interactions and batch jobs requires efficient strategies for managing asynchronous workloads. This article addresses this issue in the context of a leading company developing tax software solutions for many national and multi‐national corporations in Brazil. A critical process provided by the company's cloud‐based solutions encompasses tax integration, which includes coordinating complex tax calculation tasks and needs to be supported by asynchronous operations using a message broker to guarantee order correctness. We explored and implemented two approaches for managing asynchronous workloads related to tax integration within a multi‐tenant microservice architecture in the company's context: (i) a polling‐based approach that employs a queue as a distributed lock (DL) and (ii) a push‐based approach named single active consumer (SAC) that relies on the message broker's logic to deliver messages. These approaches aim to achieve efficient resource allocation when dealing with a growing number of container replicas and tenants. In this article, we evaluate the correctness and performance of the DL and SAC approaches to shed light on how asynchronous workloads impact the management of multi‐tenant microservice architectures from delivery and deployment perspectives.

Academia and industry have recently acknowledged the many benefits of architecting with microservices. Nonethe-less, adopting a microservice architecture does not immediately guarantee the achievements promised by such an architectural style. A crucial architectural decision is why and where multi-tenancy should be adopted in microservice architectures. This paper presents a multi-tenant microservice architecture conceived to meet the requirements of a company to serve multiple customer applications (tenants). By reporting the migration and modern-ization of a monolith legacy architecture towards microservices, this paper discusses how a multi-tenant microservice architecture could benefit scalability, management, and third-party system integration. This paper also presents empirical results of a scalability evaluation to assess the adoption of multi-tenancy in the proposed architecture and quantify its impact on the system's performance.