Book Image

A Developer's Essential Guide to Docker Compose

By : Emmanouil Gkatziouras
Book Image

A Developer's Essential Guide to Docker Compose

By: Emmanouil Gkatziouras

Overview of this book

Software development is becoming increasingly complex due to the various software components used. Applications need to be packaged with software components to facilitate their operations, making it complicated to run them. With Docker Compose, a single command can set up your application and the needed dependencies. This book starts with an overview of Docker Compose and its usage and then shows how to create an application. You will also get to grips with the fundamentals of Docker volumes and network, along with Compose commands, their purpose, and use cases. Next, you will set up databases for daily usage using Compose and, leveraging Docker networking, you will establish communication between microservices. You will also run entire stacks locally on Compose, simulate production environments, and enhance CI/CD jobs using Docker Compose. Later chapters will show you how to benefit from Docker Compose for production deployments, provision infrastructure on public clouds such as AWS and Azure, and wrap up with Compose deployments on said infrastructure. By the end of this book, you will have learned how to effectively utilize Docker Compose for day-to-day development.
Table of Contents (19 chapters)
1
Part 1: Docker Compose 101
6
Part 2: Daily Development with Docker Compose
12
Part 3: Deployment with Docker Compose

Streaming task events

We have been successful previously in running the new microservice using Compose. However, we would like to know how many times a location has been visited or how many tasks have been created over time.

This is a data-driven task. We want to capture and stream information about our application. Redis provides us with streams. By using streams, our application can stream data that can later be processed by another application and create the analytics of our choice.

This will be possible with a simple adaptation to our code. Once a task is added, a message shall be published to a Redis stream.

We will add a service to the Task Manager that will be able to stream events. For now, only when adding a task will a message be sent.

The following code base is the implementation of the TaskStream service, which will be responsible for sending messages on task creation:

// Chapter5/task-manager/task/task-service.go:14
[...] 
type TaskMessage struct {
	taskId...