Microservices Engineering Essentials
Download Microservices Engineering Essentials PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Microservices Engineering Essentials book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Microservices Engineering Essentials
"Microservices Engineering Essentials" Microservices Engineering Essentials is a definitive guide to designing, implementing, and scaling modern distributed systems. Thoughtfully structured and comprehensive, the book begins by grounding readers in the evolution of distributed computing, exploring the transition from monolithic designs to modular and microservices-based architectures. Drawing upon core principles such as autonomy, resilience, and deployability, the text underscores domain-driven design, service isolation, and the vital considerations for assessing an organization’s readiness to embrace microservices. From there, the book journeys through the intricacies of designing robust microservices: from determining service granularity and establishing clear API contracts, to orchestrating and choreographing workflows across polyglot architectures. Readers will discover proven solutions for inter-service communication—encompassing synchronous requests, event-driven messaging, and modern service mesh patterns—and the critical aspects of data management, including distributed ownership, eventual consistency, transactional sagas, and secure, compliant data handling. A strong emphasis is placed on the pragmatic realities of operating microservices in production. Chapters detail end-to-end best practices, including CI/CD pipelines, containerization, advanced orchestration with Kubernetes, progressive delivery, and self-healing systems. Essential topics such as observability, reliability engineering, automated security, rigorous testing strategies, and real-world approaches to scaling, versioning, and evolving microservices architectures round out the text. With practical guidance and insightful case studies, Microservices Engineering Essentials is an indispensable resource for architects, engineers, and technical leaders committed to building resilient, scalable, and future-ready software systems.
The Essentials of Modern Software Engineering
The first course in software engineering is the most critical. Education must start from an understanding of the heart of software development, from familiar ground that is common to all software development endeavors. This book is an in-depth introduction to software engineering that uses a systematic, universal kernel to teach the essential elements of all software engineering methods. This kernel, Essence, is a vocabulary for defining methods and practices. Essence was envisioned and originally created by Ivar Jacobson and his colleagues, developed by Software Engineering Method and Theory (SEMAT) and approved by The Object Management Group (OMG) as a standard in 2014. Essence is a practice-independent framework for thinking and reasoning about the practices we have and the practices we need. Essence establishes a shared and standard understanding of what is at the heart of software development. Essence is agnostic to any particular method, lifecycle independent, programming language independent, concise, scalable, extensible, and formally specified. Essence frees the practices from their method prisons. The first part of the book describes Essence, the essential elements to work with, the essential things to do and the essential competencies you need when developing software. The other three parts describe more and more advanced use cases of Essence. Using real but manageable examples, it covers the fundamentals of Essence and the innovative use of serious games to support software engineering. It also explains how current practices such as user stories, use cases, Scrum, and micro-services can be described using Essence, and illustrates how their activities can be represented using the Essence notions of cards and checklists. The fourth part of the book offers a vision how Essence can be scaled to support large, complex systems engineering. Essence is supported by an ecosystem developed and maintained by a community of experienced people worldwide. From this ecosystem, professors and students can select what they need and create their own way of working, thus learning how to create ONE way of working that matches the particular situation and needs.
Feast-Spark Engineering Essentials
"Feast-Spark Engineering Essentials" Feast-Spark Engineering Essentials is a comprehensive guide that bridges the latest advances in feature engineering with production-grade machine learning operations. The book delves deep into the architectural foundations of Feast as a feature store and Apache Spark as a distributed data processing engine, offering a detailed understanding of how their integration empowers scalable, reliable ML pipelines. Readers are introduced to the critical motivations driving Feast-Spark synergy, with clear explanations of data modeling, entity design, and the practicalities of end-to-end pipeline orchestration that meet the demands of modern MLOps. Through meticulously structured chapters, the book covers the entire feature engineering lifecycle, from creation, extraction, and transformation to advanced topics like automated validation, versioning, and drift detection. It discusses robust engineering practices for both batch and real-time ingestion, optimized transformations, and operational best practices required to build and maintain large-scale feature pipelines. Special attention is given to storage backends, high availability, resource scaling, and multi-region deployments, ensuring that enterprises can confidently implement reliable and cost-effective solutions. Feast-Spark Engineering Essentials stands out by addressing not only technical integration but also the operational realities of security, privacy, and compliance in regulated industries. Real-world case studies and emerging patterns provide actionable insight for both engineers and architects, encompassing governance, observability, cross-team collaboration, and the future evolution of feature store technology. The book is an indispensable resource for anyone building, operating, or scaling feature engineering infrastructure at the intersection of data and machine learning.