How do you choose a solution method for a complex task? How do you make architectural decisions?

The choice of solution approach for a complex task and architectural decisions are usually based on the following principles:

• Requirements analysis: Understanding business goals, constraints, non-functional requirements (performance, scalability, security).

• Task decomposition: Breaking down a large task into smaller, manageable parts.

• Evaluation of options: Comparing possible approaches in terms of ease of implementation, support, extensibility, and risks.

• Use of proven patterns: Applying architectural and design patterns that have already proven their effectiveness.

• Prototyping: Rapid implementation of a prototype to test hypotheses and assess technical feasibility.

• Feedback and iterations: Constantly obtaining feedback from the team and stakeholders, adjusting decisions.

• Documentation: Clear description of architectural decisions and reasons for their choice to support and develop.

In the context of Golang, it is important to consider the language and ecosystem features: simplicity, efficient concurrency management (goroutines, channels), minimalism, and code clarity.

Example: when choosing between monolithic architecture and microservices for a complex project, it is worth evaluating the scale, team, deployment, and support requirements, rather than immediately choosing microservices as a panacea.