1. Distributed Tracing in Practice: Instrumenting, Analyzing, and Debugging Microservices
This book is an essential resource for anyone involved in microservices and system optimization. Authored by experts in the field, it breaks down the complex topic of distributed tracing into manageable sections. The book covers practical instrumentation techniques, detailed analysis strategies, and effective debugging practices that can elevate your microservices architecture. Whether you are a beginner or looking for advanced methodologies, this book provides invaluable insights paired with real-world examples. Dive deep into improving service interactions and discover how distributed tracing can enhance your operational excellence.
2. Mastering Distributed Tracing: Analyzing performance in microservices and complex systems
Shkuro’s “Mastering Distributed Tracing” is an indispensable guide for understanding performance in microservices. It delves into tracing as a vital practice that aids in diagnosing performance bottlenecks and improving service reliability. The book is filled with comprehensive analysis examples and troubleshooting processes that ensure you develop a robust grasp of distributed tracing tools and techniques. It makes a compelling case for why mastering these concepts is critical in today’s fast-paced software ecosystem. Elevate your skill set and ensure performance excellence in your systems.
3. Modern Distributed Tracing in .NET: A practical guide to observability and performance analysis for microservices
This book targets developers and engineers who work with .NET applications and connective microservices. Authored by Liudmila Molkova and Sergey Kanzhelev, it presents modern approaches to observability that are crucial for any .NET development effort. The book provides insights on setting up tracing systems that give you in-depth visibility into service performance. If you’re keen on honing your skills in system observability within the .NET ecosystem, this guide will set you on the right path to becoming proficient in performance analysis.
4. Learning OpenTelemetry: Setting Up and Operating a Modern Observability System
As OpenTelemetry becomes the standard for observability, understanding how to set it up and use it effectively is paramount. This book by Ted Young and Austin Parker demystifies OpenTelemetry and illustrates how to install and manage this modern observability framework. By integrating tracing and telemetry data, you can significantly enhance your understanding of application performance. It’s an ideal read for dev teams aiming to implement observability strategies that yield actionable insights.
5. Observability Engineering: Achieving Production Excellence
Written by a team of three industry experts, this book provides an exhaustive overview of the principles of observability. It emphasizes how engineering for observability contributes to achieving production excellence and reliability in systems architecture. Focusing on practical applications rather than just theories, the authors furnish an ideal roadmap for embedding observability practices into DevOps and engineering methodologies. It’s a must-read for teams striving for a high level of service quality.
6. Cloud-Native Observability with OpenTelemetry: Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry
This book offers a unique perspective on how to achieve cloud-native observability. Authored by Alex Boten and Charity Majors, it provides a detailed guide on integrating tracing, metrics, and logging using OpenTelemetry. This is a critical read for those looking to harness the power of observability in microservices situated in the cloud. The insights and best practices shared will assist companies in gaining real-time insights into their systems’ performance, ensuring a streamlined operation.
7. Solutions Architect’s Handbook: Kick-start your career with architecture design principles, strategies, and generative AI techniques
This comprehensive handbook lays out the foundation and advanced concepts behind solutions architecture. Written by Saurabh Shrivastava and Neelanjali Srivastav, this book is perfect for individuals passionate about stepping into the world of architecture design. It covers design principles, effective strategies, and dives into using generative AI techniques for building robust systems. This makes it an indispensable resource for aspiring architects navigating their career in technology.
8. Tibetan Art: Tracing the Development of Spiritual Ideals…
For those interested in the intersection of art and spirituality, Amy Heller’s book provides a breathtaking exploration of Tibetan Art. It traces its development through history and uncovers the spiritual ideals that form the basis of this beautiful craft. Perfect for art historians and enthusiasts alike, this book serves as an enlightening resource that connects the viewer to a timeless cultural tradition.
9. Cloud Native Infrastructure with Azure: Building and Managing Cloud Native Applications
This guide provides a detailed overview of creating and managing cloud-native applications on Azure. Singh and Kehoe meticulously outline the elements of cloud architecture while equipping readers with best practices for building scalable applications. A valuable resource for cloud practitioners, this book will prepare developers and architects alike for building resilient systems that can thrive in cloud environments.
10. Tracing, monitoring and analysis of distributed multi-core systems: Selected feasibility studies
This book presents selected feasibility studies that reveal insights into tracing, monitoring, and analyzing distributed multi-core systems. The author, M. Couture, meticulously investigates the challenges faced in real-world systems and provides solutions for their efficient management. It’s a crucial read for engineers and researchers committed to improving system performance and robustness in multifaceted environments.
