Here's how you can access resources and tools for problem solving in System Architecture.

In my experience , online forums have tons of edge-case functionality which can be studied to compare different use cases and system architecture related to it. Forums like open source, reddit threads, Quora helps us to share and discuss common problem and solve as team of experienced engineers.

I once resolved a tricky integration issue by posting on a system architecture forum. The community's insights and shared experiences provided me with an effective solution, and actively participating in discussions expanded my knowledge and professional network.

Online forums are great places to learn about system architecture. In these communities, you can ask questions, join discussions, and learn from experts. Many forums have threads on common problems where you can find solutions or share your own tips. Being active and participating often helps you get the most out of these resources. The more you engage, the more you learn.

To solve problems in System Architecture, use books and journals. They help you understand the basics and advanced ideas. When you have a tough problem, these resources can give you the knowledge you need to find a solution. Look for books and articles by well-known experts in the field, as their experience can be very helpful.

When you want to get deep knowledge, books and journals are the first place to start with. Reading books and research journals will help you to understand common architecture problems and solutions in an easier way. Sometimes what you get from google may be half baked, so better to build our basics with books.

Going university to master system architecture is old school. Now we have tons of useful online courses from coursers, plural sights which help us to get where we want without much hassle.

Tools differentiate man from animal. Software tools add teeth to our knowledge and helps to execute, design more better solutions

Reading case studies is the best way to compare our understanding which will help us to compare with actual results based on implementation and use cases.