Become an Awesome Software Architect: Book 1: Foundation 2019,Used

Become an Awesome Software Architect: Book 1: Foundation 2019,Used

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Great software architects arent born. They are a product of decades of building reallife solutions and relentless learning. They become really good at their trade closer to the retirement age. But most startups are fostered by young entrepreneurs who dare to try but lack the experience. They also lack the $$ to hire a silverhaired architect to join their team from day one. Left to their own faculties, the entrepreneurs and their engineering teams quickly get on the path of learning from their own mistakes. Eventually, they discover this is the most expensive way of learning. Over time they get better, and some become the true masters of the craft but way too late to make a difference for their earlyday projects.This book is meant to break the vicious circle. It isnt a textbook, at least not in the traditional sense. It is a businesscentric practical guide to software architecture, intended for software engineers, technology executives, students of computer science, and techsavvy entrepreneurs who want to derisk their entrepreneurial endeavors or to fasttrack their careers in software engineering. The recipes in this book are highly practical, battletested, and current for building mid to largescale systems in 20192020.The book covers the following topics: Software architecture, what it is, and what it's for The Hit List of a software architect; functional vs nonfunctional requirements Programming languages; objectoriented vs functional programming; how to pick the right tool for a job Datastores, SQL vs NoSQL vs Event Stores, CRUD vs CQRS vs AppendOnly Data Models, DomainDriven Design approach to data modeling Layering your architecture, reducing complexity and dependencies Code composition, SOLID principles Dependency inversion demystified Latency; synchronous and asynchronous processing Errors, error recovery, and the right way of handling retries Practical approach to logging Realtime and nearrealtime processing Event streaming and streaming architectures Caching and CDNs User Interfaces, unified crossplatform UI architectures MVC model and its successors; a reusable UI composition model Microservices, the Dos and the Don'ts API design patterns, API versioning, and backward compatibility API security Batch processing, and how to eliminate it Multitenancy, and why it is more important than you might think Removing dependencies between engineering workstreams, develop great code fast with a team of any size Runtime infrastructures, from dedicated servers to cloud to serverless architectures Runtime frameworks, how to pick one, and how to protect yourself from the framework's shortcomings Brainstorming technique that really worksEvery topic is illustrated with easy to follow code examples and diagrams. Enjoy!

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