Book Image

Docker for Serverless Applications

By : Chanwit Kaewkasi
Book Image

Docker for Serverless Applications

By: Chanwit Kaewkasi

Overview of this book

Serverless applications have gained a lot of popularity among developers and are currently the buzzwords in the tech market. Docker and serverless are two terms that go hand-in-hand. This book will start by explaining serverless and Function-as-a-Service (FaaS) concepts, and why they are important. Then, it will introduce the concepts of containerization and how Docker fits into the Serverless ideology. It will explore the architectures and components of three major Docker-based FaaS platforms, how to deploy and how to use their CLI. Then, this book will discuss how to set up and operate a production-grade Docker cluster. We will cover all concepts of FaaS frameworks with practical use cases, followed by deploying and orchestrating these serverless systems using Docker. Finally, we will also explore advanced topics and prototypes for FaaS architectures in the last chapter. By the end of this book, you will be in a position to build and deploy your own FaaS platform using Docker.
Table of Contents (15 chapters)
Title Page
Packt Upsell
Contributors
Preface
Index

The OpenFaaS dashboard


A good OpenFaaS dashboard is available on the Grafana platform. To make Grafana work with OpenFaaS, the Grafana server must be on the same network. We can use the following command to run a Grafana server via docker service create outside the OpenFaaS stack. It links to the OpenFaaS stack via the --network=func_functions argument:

$ docker service create --name=grafana \
    --network=func_functions \
    -p 3000:3000 grafana/grafana

Alternatively, open the dashboard at http://localhost:3000. Log in using the username admin and password admin:

Figure 4.11: Grafana home dashboard 

A data source has to be created and pointed to the Prometheus server before using it as the source of a dashboard. Firstly, the data source name must be prometheus. Secondly, the URL needs to point to http://prometheus:9090. After that, we can click the Save and Test buttons. A green popup will be displayed if the data source setting is correct:

Figure 4.12: Defining a new Prometheus data source...