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Docker for Serverless Applications

You're reading from   Docker for Serverless Applications Containerize and orchestrate functions using OpenFaas, OpenWhisk, and Fn

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788835268
Length 250 pages
Edition 1st Edition
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Author (1):
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Chanwit Kaewkasi Chanwit Kaewkasi
Author Profile Icon Chanwit Kaewkasi
Chanwit Kaewkasi
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Table of Contents (11) Chapters Close

Preface 1. Serverless and Docker FREE CHAPTER 2. Docker and Swarm Clusters 3. Serverless Frameworks 4. OpenFaaS on Docker 5. The Fn Project 6. OpenWhisk on Docker 7. Operating FaaS Clusters 8. Putting Them All Together 9. The Future of Serverless 10. Other Books You May Enjoy

A stream processor


Another use case of a function is to use it as a processor for data streams. A stream may be sent out from any kind of sources, such as data buses or event buses. Kafka, Twitter, or blockchain (in our case, Ethereum) could be a source of data streams. An Ethereum blockchain could emit events specific to some smart contracts when a certain action is taken.

To observe these events in the form of data streams efficiently, we need to use a kind of reactive client. RxJava is one of them. Fortunately, web3j, the Ethereum client we are using, already has RxJava observables to receive streaming data from an Ethereum blockchain.

We call this component listener. The following diagram shows what we will implement around the Event Listener:

Figure 8.13: Diagram illustrating relations around the Event Listener

A requirement is that we run the agent (Event Listener) as a container on the same network as the blockchain. We use the agent to divert each transaction information to other endpoints...

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