- What is the definition of software engineering?
- What are some of the questions that every SWE should be able to answer?
- Compare the role of an SWE and an SRE. What are the key differences between the two roles?
- Name some of the deficiencies of the waterfall model. Explain how the iterative enhancement model attempts to address those deficiencies.
- What are the most common sources of waste according to the lean development model?
- Provide an example where focusing all the optimization efforts on a single step of the development process can have a negative effect on the efficiency of the end-to-end process.
- What are the key responsibilities of the PO and the SM in the Scrum framework?
- What is the role of retrospectives in Scrum? What topics should the team be discussing and what should be the expected outcome of each retrospective session?
- Why are automation and measuring important when following the DevOps model?
- You are working for ACME Gaming System, a company with the vision to disrupt the already mature and highly competitive gaming console market. To this end, the company has partnered with Advanced GPU Devices, a well-known graphics chip manufacturer, to prototype a new GPU design that should allow the upcoming gaming console to blow competitor consoles out of the water. Your task, as the project's lead engineer, is to design and build the software that will power the new console. Which software development model would you choose? Explain the reasoning behind your decision.
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Book Overview & Buying
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Table Of Contents
Hands-On Software Engineering with Golang
By :
Hands-On Software Engineering with Golang
By:
Overview of this book
Over the last few years, Go has become one of the favorite languages for building scalable and distributed systems. Its opinionated design and built-in concurrency features make it easy for engineers to author code that efficiently utilizes all available CPU cores.
This Golang book distills industry best practices for writing lean Go code that is easy to test and maintain, and helps you to explore its practical implementation by creating a multi-tier application called Links ‘R’ Us from scratch. You’ll be guided through all the steps involved in designing, implementing, testing, deploying, and scaling an application. Starting with a monolithic architecture, you’ll iteratively transform the project into a service-oriented architecture (SOA) that supports the efficient out-of-core processing of large link graphs. You’ll learn about various cutting-edge and advanced software engineering techniques such as building extensible data processing pipelines, designing APIs using gRPC, and running distributed graph processing algorithms at scale. Finally, you’ll learn how to compile and package your Go services using Docker and automate their deployment to a Kubernetes cluster.
By the end of this book, you’ll know how to think like a professional software developer or engineer and write lean and efficient Go code.
Table of Contents (21 chapters)
Preface
Section 1: Software Engineering and the Software Development Life Cycle
Free Chapter
A Bird's-Eye View of Software Engineering
Section 2: Best Practices for Maintainable and Testable Go Code
Best Practices for Writing Clean and Maintainable Go Code
Dependency Management
The Art of Testing
Section 3: Designing and Building a Multi-Tier System from Scratch
The Links 'R'; Us Project
Building a Persistence Layer
Data-Processing Pipelines
Graph-Based Data Processing
Communicating with the Outside World
Building, Packaging, and Deploying Software
Section 4: Scaling Out to Handle a Growing Number of Users
Splitting Monoliths into Microservices
Building Distributed Graph-Processing Systems
Metrics Collection and Visualization
Epilogue
Assessments
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