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Mastering Flask Web and API Development

You're reading from   Mastering Flask Web and API Development Build and deploy production-ready Flask apps seamlessly across web, APIs, and mobile platforms

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781837633227
Length 494 pages
Edition 1st Edition
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Author (1):
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Sherwin John C. Tragura Sherwin John C. Tragura
Author Profile Icon Sherwin John C. Tragura
Sherwin John C. Tragura
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Learning the Flask 3.x Framework
2. Chapter 1: A Deep Dive into the Flask Framework FREE CHAPTER 3. Chapter 2: Adding Advanced Core Features 4. Chapter 3: Creating REST Web Services 5. Chapter 4: Utilizing Flask Extensions 6. Part 2:Building Advanced Flask 3.x Applications
7. Chapter 5: Building Asynchronous Transactions 8. Chapter 6: Developing Computational and Scientific Applications 9. Chapter 7: Using Non-Relational Data Storage 10. Chapter 8: Building Workflows with Flask 11. Chapter 9: Securing Flask Applications 12. Part 3:Testing, Deploying, and Building Enterprise-Grade Applications
13. Chapter 10: Creating Test Cases for Flask 14. Chapter 11: Deploying Flask Applications 15. Chapter 12: Integrating Flask with Other Tools and Frameworks 16. Index 17. Other Books You May Enjoy

Implementing Flask instrumentation

Instrumentation is a mechanism that generates, collects, and exports data about the runtime diagnostics of an application, microservice, or distributed setup. Usually, this observable data includes traces, logs, and metrics that can provide an understanding of the system. Among the many ways to implement instrumentation, OpenTelemetry offers easy configuration and vendor-agnostic approaches to monitoring and observing the system’s internal state. To utilize OpenTelemetry for Flask, install the following external modules using the pip command:

pip install opentelemetry-api opentelemetry-sdk opentelemetry-instrumentation-flask opentelemetry-instrumentation-requests

The following snippet added to the create_app() factory in the __init__.py of the main Flask application provides the console-based instrumentation:

from opentelemetry import trace
from opentelemetry.sdk.resources import Resource
from opentelemetry.sdk.trace import TracerProvider...
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