Analyze the Functional and Domain Aspect of your system, applying Domain Driven Design (DDD) concepts to arrive at the correct boundaries for each microservice within the problem domain.
Develop a Transition Strategy whereas a large application can be refactored into a set of microservices incrementally, peeling off functionality and chipping away at the monolith while avoiding big-bang risks.
Design the Communication Protocols that will enable messaging patterns for asynchronous and synchronous communication and request/response or pub/sub style messaging.
Design Service Discovery ensuring service location transparency, leveraging either a service registry such as Consul or a decentralized gossip-style protocol such as the one used by Serf.
Our microservice practice is battle-tested against both client projects, and our own products. The result is a team that understands the difference between the SOA builds of yester-year and the new world of event-driven, reactive microservices. Combined with our agile execution and solid delivery track record, this makes us a strong partner in any microservice endeavor. Specifically, our team provides:
Design a Security Framework ensuring that the cross-cutting concerns of authentication and authorization are handled consistently, and rigorously tested throughout the system.
Design for Supportability ensuring that we adequately and efficiently monitor, log and self-heal from faults in a large number of microservices running as part of our system. This is also facilitated by close collaboration with DevOps.
Apply API-first Design principles to first flesh out APIs leveraging standards such as RAML and Open API.
Reducing Complexity by building focused, relatively small pieces of functionality that do one thing well. If domain driven design principles are used correctly, then microservices are much easier and quicker to build and understand.
Resilience – using asynchronous messaging patterns and fault-isolation techniques, microservices can provide a more stable overall experience, allowing parts of an application to continue to operate in the face of individual microservice failures.
Flexibility – the ability to independently scale, evolve and deploy microservices, as well as the ability to support different programming languages/environments for building them makes them a flexible option.
Cost-effective Scalability – breaking up an app into microservices makes it much easier to scale the parts of the app that are under heavy load, thus ensuring focused use of resources. In a dynamic scaling environment, such as AWS or Azure, this provides incredible agility and cost efficiencies.
Focus and Autonomy – one often overlooked benefit is that this architecture paradigm plays well in enterprise contexts, where large teams cannot always operate in a centralized way. The microservice architectural style provides enough autonomy and flexibility while delivering a great solution.
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