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Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages
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Название: Mastering OpenTelemetry and Observability: Enhancing Application and Infrastructure Performance and Avoiding Outages
Автор: Steve Flanders
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 14.8 MB

Discover the power of open source observability for your enterprise environment.

In Mastering Observability and OpenTelemetry: Enhancing Application and Infrastructure Performance and Avoiding Outages, accomplished engineering leader and open source contributor Steve Flanders unlocks the secrets of enterprise application observability with a comprehensive guide to OpenTelemetry (OTel). Explore how OTel transforms observability, providing a robust toolkit for capturing and analyzing telemetry data across your environment.

You will learn how OTel delivers unmatched flexibility, extensibility, and vendor neutrality, freeing you from vendor lock-in and enabling data sovereignty and portability.

Beyond technical guidance, this book also addresses the human and organizational aspects of observability. This is because building a culture of observability within your team and organization is crucial for success. This book discusses strategies for fostering collaboration, continuous improvement, and proactive incident response, ensuring that observability becomes an integral part of your operational practices. Finally, this book explores emerging trends and innovations in observability, including the role of Artificial Intelligence (AI) and Machine Learning (ML) in predictive analytics, the evolution of observability standards, and the potential impact of new technologies on the industry.

In modern software development and operations, observability has emerged as a fundamental concept essential for maintaining and improving the performance, reliability, and scalability of complex systems. But what exactly is observability? At its core, observability is the practice of gaining insights into the internal states and behaviors of systems through the collection, analysis, and visualization of telemetry data. Unlike traditional monitoring, which primarily focuses on predefined metrics and thresholds, observability offers a more comprehensive and dynamic approach, enabling teams to proactively detect, diagnose, and resolve issues.

It is time to add metric instrumentation! In Python, metric instrumentation, like trace instrumentation, can be added through automatic or manual instrumentation. The general approach for metric instrumentation is very similar to traces just with metric-specific concepts. A containerized Python application will be primarily used, but differences between Python and other programming languages will also be explored. In addition, the examples in this chapter are optimized for Linux, but modifying them for operating systems such as Windows should be relatively easy. While some basic Python knowledge is helpful, the prescriptive steps that follow should work as long as the environment is properly configured with the following prerequisites: • curl; • Docker.

You will also discover:
• Comprehensive coverage of observability issues and technology: Dive deep into the world of observability and gain a comprehensive understanding of observability fundamentals with practical insights and real-world use cases.
• Practical guidance: From instrumentation techniques to advanced tracing strategies, gain the skills needed to create highly observable systems. Learn how to deploy and configure OTel, even in challenging brownfield environments, with step-by-step instructions and hands-on exercises.
• An opportunity for community contributions and communication: Join the OTel community, including end-users, vendors, and cloud providers, and shape the future of observability while connecting with experts and peers.

Whether you are a novice or a seasoned professional, Mastering Observability and OpenTelemetry is your roadmap to troubleshooting availability and performance problems by learning to detect anomalies, interpret data, and proactively optimize performance in your enterprise environment. Embark on your journey to observability mastery today!

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