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Hands-On Docker for Microservices with Python

You're reading from   Hands-On Docker for Microservices with Python Design, deploy, and operate a complex system with multiple microservices using Docker and Kubernetes

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Product type Paperback
Published in Nov 2019
Publisher Packt
ISBN-13 9781838823818
Length 408 pages
Edition 1st Edition
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Author (1):
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Jaime Buelta Jaime Buelta
Author Profile Icon Jaime Buelta
Jaime Buelta
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Toc

Table of Contents (19) Chapters Close

Preface 1. Section 1: Introduction to Microservices
2. Making the Move – Design, Plan, and Execute FREE CHAPTER 3. Section 2: Designing and Operating a Single Service – Creating a Docker Container
4. Creating a REST Service with Python 5. Build, Run, and Test Your Service Using Docker 6. Creating a Pipeline and Workflow 7. Section 3:Working with Multiple Services – Operating the System through Kubernetes
8. Using Kubernetes to Coordinate Microservices 9. Local Development with Kubernetes 10. Configuring and Securing the Production System 11. Using GitOps Principles 12. Managing Workflows 13. Section 4: Production-Ready System – Making It Work in Real-Life Environments
14. Monitoring Logs and Metrics 15. Handling Change, Dependencies, and Secrets in the System 16. Collaborating and Communicating across Teams 17. Assessments 18. Other Books You May Enjoy

Defining the database schema

The database schema is simple and inherited from the monolith. We care only about the thoughts, stored in the thought_model table, so the database structure is as follows:

Field Type Comments
id INTEGER NOT NULL Primary key
username VARCHAR(50)
text VARCHAR(250)
timestamp DATETIME Creation time
The thought_model table

This table is represented in code in the thoughts_backend/models.py file, described in SQLAlchemy format with the following code:

class ThoughtModel(db.Model):
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.String(50))
text = db.Column(db.String(250))
timestamp = db.Column(db.DateTime, server_default=func.now())

SQLAlchemy is capable of creating the table for testing purposes or for development mode. For this chapter, we defined the database to be SQLite, which stores the data in the db...

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