Daniel Gomez Blanco: Practical OpenTelemetry

Cover: 9781484290743 | Practical OpenTelemetry | Daniel Gomez Blanco | Taschenbuch | xix

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Beschreibung

Learn the value that OpenTelemetry can bring to organizations that aim to implement observability best practices, and gain a deeper understanding of how different building blocks interact with each other to bring out-of-the-box, vendor-neutral instrumentation to your stack. With examples in Java, this book shows how to use OpenTelemetry APIs and configure plugins and SDKs to instrument services and produce valuable telemetry data. Yoüll learn how to maximize adoption of OpenTelemetry and encourage the change needed in debugging workflows to reduce cognitive load for engineers troubleshooting production workloads.

Adopting observability best practices across an organization is challenging. This book begins with a discussion of how operational monitoring processes widely followed for decades fall short at providing the insights needed for debugging cloud-native, distributed systems in production. The book goes on to show how the Cloud Native Computing Foundation¿s OpenTelemetry project helps you standardize instrumentation and transport of telemetry signals, providing a common language for all observability tooling.

You Will Learn

Why observability is a necessity in modern distributed systems
The value of OpenTelemetry for engineers and organizations
OpenTelemetry component specification and general design
Tracing, metrics, and logs APIs and SDKs, with examples in Java
OpenTelemetry Collectors and recommended transport and processing pipelines
How to adopt observability standards across an organization

Who This Book Is For

Software engineers familiar with cloud-native technologies and operational monitoring who want to instrument and export telemetry data from their services; observability leads who want to roll out OpenTelemetry standards and bestpractices across their organizations; and Java developers who want a book with OpenTelemetry examples in that language

You Will Learn

Who This Book Is For

Über den Autor

¿Daniel Gomez Blanco is a Principal Engineer at Skyscanner, leading their observability transformation across hundreds of services to ensure that travelers get a reliable and performant experience when booking their next holiday. He is an advocate of open standards and CNCF projects such as OpenTelemetry to back the instrumentation and collection of operational data. Daniel has experience working in organizations of all sizes, from international institutions such as CERN in Geneva, to London startups such as SKIPJAQ. His main focus has always been building software and adopting solutions to minimize the cognitive load required for engineers to support and operate production services.

Zusammenfassung

Provides observability best practices from an experienced practitioner's perspective

Gives an overview of OpenTelemetry components and recommended deployment models

Helps observability leads maximize adoption of OpenTelemetry across their organization

Inhaltsverzeichnis

¿Part I. The Need for Observability with OpenTelemetry.- 1. The Need for Observability.- 2. How OpenTelemetry Enables Observability.- Part II. OpenTelemetry Components and Best Practices.- 3. OpenTelemetry Fundamentals.- 4. Auto-Instrumentation.- 5. Context, Baggage, and Propagators.- 6. Tracing.- 7. Metrics.- 8. Logging.- 9. Protocol and Collector.- 10. Sampling and Common Deployment Models.- Part III. Rolling Out OpenTelemetry Across Your Organization.- 11. Maximizing Adoption by Minimizing Friction.- 12. Adopting Observability.

Details

Erscheinungsjahr:	2023
Genre:	Informatik
Rubrik:	Naturwissenschaften & Technik
Medium:	Taschenbuch
Inhalt:	xix 241 S. 44 s/w Illustr. 241 p. 44 illus.
ISBN-13:	9781484290743
ISBN-10:	1484290747
Sprache:	Englisch
Ausstattung / Beilage:	Paperback
Einband:	Kartoniert / Broschiert
Autor:	Gomez Blanco, Daniel
Auflage:	1st ed.
Hersteller:	Apress Apress L.P.
Maße:	254 x 178 x 15 mm
Von/Mit:	Daniel Gomez Blanco
Erscheinungsdatum:	03.03.2023
Gewicht:	0,503 kg

Artikel-ID: 125801847