As AI-driven systems evolve, robust backends are vital for managing large-scale data. This book explores backend principles, focusing on Go (Golang) for scalable, cloud-native development. It highlights Go’s readability, concurrency, and open-source support. Step-by-step guidance, design patterns, and examples help developers and architects create resilient systems for modern software applications.
It starts with the basics of backend development, covering programming, databases, APIs, and cloud services. You will learn Go fundamentals like data structures, packages, and testing, followed by using frameworks like Gin and Echo for web servers. It introduces microservices, Docker, Kubernetes, and concepts like concurrency and fault tolerance. You will explore inter-service communication (REST, gRPC, GraphQL), data modeling with relational and NoSQL databases, and scalability. The book also dives into CI/CD, cloud deployment, monitoring, security best practices, and strategies for maintaining backend systems efficiently.
By mastering the concepts and practices covered in this book, you will be well-equipped to design, develop, and deploy secure, scalable, and maintainable backend systems using Golang. You will gain the confidence to tackle complex backend challenges and contribute to the development of high-performance applications.
KEY FEATURES
* This book provides a 360-degree view of various aspects needed for design, development, and deployment of enterprise backend software systems.
* Hands-on Go programming skills, focusing on best practices for real-world applications.
* Insights into modern architectural styles like microservices for scalable systems.
WHAT YOU WILL LEARN
* Core Go language constructs and concurrency patterns for efficient programming.
* Building high-performance web servers using popular Go frameworks.
* Designing microservices and orchestrating containers with Kubernetes for scalability.
* Creating secure and scalable APIs with RESTful, gRPC, and GraphQL.
* Best practices for CI/CD pipelines and robust backend system optimization.
* Use industry standard techniques that can instill confidence in stakeholders as well as users/customers.
WHO THIS BOOK IS FOR
This book is for beginners in computer science, those preparing for competitive exams and interviews, seasoned engineers, and software professionals seeking insights into designing, building, and maintaining large-scale backend systems.
Bharat Chandra Baddepudi is a software engineer with over 20 years of enterprise software research and development experience. Bharat holds a Bachelor’s degree in Computer Science and Engineering from the Indian Institute of Technology, Madras, and a Master’s degree in Computer Science from the University of Texas at Austin. He has worked at large software companies as well as been in founder roles at technology startups, building expertise in various layers of the software stack. Oracle was his first dive into the software industry, where he worked on the database kernel internals and later went on to deliver the Exadata Flash Cache solutions. After that he designed and developed a document database in the Hadoop ecosystem at MapR Inc. As the founding engineer at Yugabyte next, he first contributed to the consensus layer of its distributed Postgres database engine. Taking on broader impact end to end user features, he was instrumental in providing the design and solutions for server elasticity in the cloud along with related data migration needs. Currently he is working on large scale distributed systems and document databases at LinkedIn.
He holds several patents in backend architectures, storage solutions, and cloud domains and has given talks in technical meetups along with writing blogs. He is passionate about building large-scale distributed systems that provide the backbone to various web applications and related use cases. His awareness of technological advances allows him to contribute to state-of-the-art and emerging roadmaps.
