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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design > Parallel processing
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Cloud-Native Observability with OpenTelemetry - Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry (Paperback)
Loot Price: R1,057
Discovery Miles 10 570
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Cloud-Native Observability with OpenTelemetry - Learn to gain visibility into systems by combining tracing, metrics, and logging with OpenTelemetry (Paperback)
Expected to ship within 18 - 22 working days
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Leverage OpenTelemetry's API, libraries, tools and the collector to
produce and collect telemetry along with using open-source tools to
analyze distributed traces, check metrics and logs, and gain
insights into application health Key Features Get to grips with
OpenTelemetry, an open-source cloud-native software observability
standard Use vendor-neutral tools to instrument applications to
produce better telemetry and improve observability Understand how
telemetry data can be correlated and interpreted to understand
distributed systems Book DescriptionCloud-Native Observability with
OpenTelemetry is a guide to helping you look for answers to
questions about your applications. This book teaches you how to
produce telemetry from your applications using an open standard to
retain control of data. OpenTelemetry provides the tools necessary
for you to gain visibility into the performance of your services.
It allows you to instrument your application code through
vendor-neutral APIs, libraries and tools. By reading Cloud-Native
Observability with OpenTelemetry, you'll learn about the concepts
and signals of OpenTelemetry - traces, metrics, and logs. You'll
practice producing telemetry for these signals by configuring and
instrumenting a distributed cloud-native application using the
OpenTelemetry API. The book also guides you through deploying the
collector, as well as telemetry backends necessary to help you
understand what to do with the data once it's emitted. You'll look
at various examples of how to identify application performance
issues through telemetry. By analyzing telemetry, you'll also be
able to better understand how an observable application can improve
the software development life cycle. By the end of this book,
you'll be well-versed with OpenTelemetry, be able to instrument
services using the OpenTelemetry API to produce distributed traces,
metrics and logs, and more. What you will learn Understand the core
concepts of OpenTelemetry Explore concepts in distributed tracing,
metrics, and logging Discover the APIs and SDKs necessary to
instrument an application using OpenTelemetry Explore what
auto-instrumentation is and how it can help accelerate application
instrumentation Configure and deploy the OpenTelemetry Collector
Get to grips with how different open-source backends can be used to
analyze telemetry data Understand how to correlate telemetry in
common scenarios to get to the root cause of a problem Who this
book is forThis book is for software engineers, library authors,
and systems operators looking to better understand their
infrastructure, services and applications by leveraging telemetry
data like never before. Working knowledge of Python programming is
assumed for the example applications that you'll be building and
instrumenting using the OpenTelemetry API and SDK. Some familiarity
with Go programming, Linux, and Docker is preferable to help you
set up additional components in various examples throughout the
book.
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