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Software system architecture planning is a complex process. It involves in-depth research, requirements gathering, gap analysis, and various estimations.
The process begins with a thorough review of your functional and non-functional requirements. We align your system architecture with these needs to ensure that the software works correctly and provides the required functions.
In systems design there are several patterns and solutions which are recognised best practices. We will analyse your business requirements, software, goals, and ways to achieve them. Usually, we will suggest one of the proven five best practices. If you want to get another solution, don’t hesitate to express your needs, so we can research and propose more tailored options.
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Many programs may spend much time waiting for the actual tasks. To minimize this waiting time and improve performance, you can get event-driven architecture. Basically, it features a central hub that delegates tasks to modules. Each transfer is known as an event, and functional parts launch only when they see it.
The majority of digital solutions rely on several repetitive processes like “extract, name, upload” or “download, validate, send”, etc. You can put these core tasks into the microkernel. Also, you can get various plug-ins for more specific processes. With this architecture, you can simplify routine but keep tasks flexible.
Instead of monoliths with poor performance over time, microservices offer a simpler and flexible approach. Software design and architecture provide for several small programs that cover specific functional areas, focusing on a single responsibility. Microservices can interact with each other and launch only when needed.
This model provides for several layers built around one core database. When information enters such a solution, it interacts with all layers subsequently, from top to bottom. Each tier has specific tasks: data validation, reformatting, demonstration, storing. This software system architecture focuses on the segregation of presentation and data processing, scalability, and security.
While the multi-tier architecture relies on databases, it can fail under high load. To avoid this, you can use the space-based model. It divides processing and storage tasks between different servers, using multiple nodes for data-related processes. Thus, you can eliminate databases and store datum in RAM to speed up basic things.
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