دانلود کتاب MongoDB در عمل، ویرایش سوم – ساخت بر اساس پلتفرم داده اطلس

My journey with MongoDB has been both extensive and deeply immersive. As a MongoDB Champion, I have had the privilege of participating in numerous MongoDB events and training sessions, contributing to the development of certification-exam questions, and have also been a speaker at various conferences, sharing my expertise and real-world experiences. Professionally, I work as an SRE/DevOps engineer, managing some of the most complex and largest-scale deployments in Europe. One of my most significant experiences involved managing one of the continent’s largest MongoDB farms, with clusters that exceeded 100 TB. Each cluster consisted of 130 nodes and implemented microsharding, a technique that allows multiple MongoDB processes to run on the same host. These clusters were not just massive in scale but also mission-critical, responsible for handling passenger flight information. The need for lightning-fast search capabilities made MongoDB an indispensable part of these high-stakes operations. Through this hands-on experience, I used many of MongoDB’s advanced features, which I explore in detail throughout this book. This journey also introduced me to MongoDB Atlas, the fully managed Database as a Service (DBaaS). It was in this high-pressure environment that I first recognized the power and convenience of Atlas, especially in reducing the operational overhead of managing massive clusters. Atlas’s ability to handle scaling, backup management, and performance optimization with minimal intervention was a game-changer. Beyond working with large-scale enterprise applications, I have seen MongoDB thrive in the startup ecosystem. One such project involved a customer relationship management (CRM) system, in which MongoDB proved its value not only in scalability but also in agility and performance. This experience, however, also highlighted the challenges of running self-managed MongoDB instances, particularly the complexity of replicating collections from MongoDB to Elasticsearch to enable full-text search capabilities. It was through overcoming these challenges that I truly appreciated the built-in capabilities of MongoDB Atlas, which offers full-text search natively, eliminating the need for such complex integrations. This book is a culmination of my hands-on experience, real-world challenges, and deep technical insights. My goal is to provide a comprehensive guide to MongoDB, whether you are building a small application or managing a multiterabyte enterprise system. I cover not only best practices and technical optimizations but also strategic insights to help you make the right architectural decisions for your needs. I invite you to join me on this journey as we delve into MongoDB’s capabilities and unlock its full potential together.