Regardless of the methodology used or the final cloud native design pattern implemented, there are specific design considerations that all cloud native architectures should attempt to implement. While not all of these are required to be considered a cloud native architecture, as these considerations are implemented, the maturity of the system increases, and will fall on a higher level of the CNMM. These considerations include instrumentation, security, parallelization, resiliency, event-driven, and future-proofed:

• Instrumentation: Including application instrumentation is about more than just log stream analysis; it requires the ability to monitor and measure the performance of the application in real time. Adding instrumentation will directly lead to the ability of the application to be self-aware of latency conditions, component failures due to system faults, and other characteristics that are important to a specific business application. Instrumentation is critical to many of the other design considerations, so including it as a first-class citizen in the application will enable long-term benefits.

• Security: All applications need security built in; however, designing for a cloud native security architecture is critical to ensure the application takes advantage of cloud vendor security services, third-party security services, and design-level security in layers, all of which will harden the posture of the application and reduce the blast radius in the event of an attack or breach.
• Parallelization: Designing an application that can execute distinct processes in parallel with other parts of the application will directly impact its ability to have the performance required as it scales up. This includes allowing the same set of functions to execute many times in parallel, or having many distinct functions in the application execute in parallel.
• Resiliency: Considering how the application will handle faults and still perform at scale is important. Using cloud vendor innovations, like deployment across multiple physical data centers, using multiple decoupled tiers of the application, and automating the startup, shutdown, and migration of application components between cloud vendor locations are all ways to ensure resiliency for the application.
  
• Event-driven: Applications that are event-driven are able to employ techniques that analyze the events to perform actions, whether those be business logic, resiliency modification, security assessments, or auto scaling of application components. All events are logged and analyzed by advanced machine learning techniques to enable additional automation to be employed as more events are identified.
• Future-proofed: Thinking about the future is a critical way to ensure that an application will continue to evolve along the CNMM as time and innovation moves on. Implementing these considerations will help with future-proofing; however, all applications must be optimized through automation and code enhancements constantly to always be able to deliver the business results required.