[lightbend on-demand iot software development akka kubernetes devOps spark data engineering data science java kafka scala]
Microservices has become a difficult term to pinpoint as more people use it to describe various approaches to building service-based applications. Many of these approaches have become anti-patterns to scale, such as sharing code between services and traditional monolithic CRUD data storage strategies.
The whole idea of embracing Microservices architectures is to accelerate teams, reduce dependency nightmares, and increase application throughput. So how can you avoid traditional anti-patterns when starting a new Microservices project?
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