Create a Serverless Slack Bot with AWS Lambda and Python

Introduction

AWS Environment Setup

Configuring Our AWS Workspace

Configuring Your AWS Environment

Preparing your Local Development Environment For AWS Lambda and Python Development

Installing Python 3 and Pyenv on MacOS, Windows, and Linux

Configuring the AWS CLI

Configuring Your Local Machine

How Our Slack Bot "Dicebot" Will Work

Creating an S3 Bucket for Lambda Artifacts

Creating a Basic Hello-World Lambda from SAM Cookiecutter Template

Testing a Hello-World AWS Lambda Function Locally with Docker

Deploying Your First AWS Lambda Hello-World Function Into Production

Creating Hello-world Lambda

Creating a Slack App for our Custom Serverless Slack Bot

Exploring the Dicebot Core Code

Turning Our Hello-World Serverless Function into A Slack Dicebot

Testing Our Serverless Slack Dicebot with Docker Locally

Cleaning Up Our Serverless Dicebot Deployment

Creating Dicebot Lambda

aws-lambda

python

pipenv

awscli

aws-sam-cli

cookiecutter

docker

*Serverless Computing* may sound like a scary topic, but with the rise of AWS Lambda and mature tools supporting it - it's more approachable than ever. In this newline course, we're going to learn what serverless technology is and isn't, and why it belongs in your developer toolbox. We'll see that for certain common projects - like custom chat bot creation - AWS Lambda really shines for it's simplicity, affordability, and ability to integrate with the wider AWS ecosystem. 

Some developers love using serverless tech because it helps them save money, scale quickly, and deliver on reliability goals. While all of those things are possible with Lambda (especially cost savings which are common - but certainly not guaranteed), it's the development agility and reduction of operations overhead that drives my love for the service. It's a relief to be able to get right into the code, without worrying about configuring operating systems, deploying containers, or scaling clusters. Serverless on Lambda gives developers the resources needed to write, deploy, and _maintain_ production-ready software - all without significant operational overhead.

In true newline-fashion, we'll get *rolling* with a practical application right away. RPG players rejoice - we're creating a fully functional, dice-rolling chat bot for Slack! While the example bot will be for Slack, the same idea can be easily adapted to create a bot for Telegram, Discord, or nearly any other chat service with a bot API. 

We will be using Python 3 for this project, but it's worth noting that [AWS Lambda works with other common languages and runtimes](https://docs.aws.amazon.com/lambda/latest/dg/lambda-runtimes.html), including NodeJS, Java, ruby, go, and .NET. The basic mechanisms of creating, testing, and deploying your Lambda do not vary significantly based on your runtime choice.

By the end of this course you'll:

* Deploy a Slack Bot that runs on AWS Lambda
* Understand how to keep your AWS account secure
* Be able to deploy custom Lambda functions
* Understand serverless architecture and how it works

In this course we'll build and deploy a Serverless Slack Bot using AWS Lambda and Python. Along the way you'll learn about proper security, how lambda works, and how to deploy your service.

Create a Serverless Slackbot with AWS Lambda and Python

How to deploy a serverless bot into production

Testing a hello_world AWS Lambda Function Locally with Docker

At this point, before we've even made any code updates - we have a fully functioning and deployable lambda. Sure it just says "Hello World" - but it's a start. We'll go ahead and invoke it locally just to confirm our environment is configured correctly.

 is not strictly required, but we recommended always using it so that we are sure our package is being built against the correct target environment.

Once the package building step has completed, we can then send a test function to it with 

sam local invoke --event events/first_function_event.json

In most cases, we'll just chain these two commands together, and send 

sam build -u && sam local invoke --event events/first_function_event.json

Starting Build inside a container
...
Build Succeeded

Built Artifacts  : .aws-sam/build
Built Template   : .aws-sam/build/template.yaml

---
title: Testing a Hello-World AWS Lambda Function Locally with Docker
isPublicLesson: false
---

# Testing a hello_world AWS Lambda Function Locally with Docker

At this point, before we've even made any code updates - we have a fully functioning and deployable lambda. Sure it just says "Hello World" - but it's a start. We'll go ahead and invoke it locally just to confirm our environment is configured correctly.

From our `dicebot` directory, we will use the command `sam build -u` build a SAM package with docker. The `-u` flag is necessary to ensure `docker` is used to build the package. Using `-u` is not strictly required, but we recommended always using it so that we are sure our package is being built against the correct target environment.

Once the package building step has completed, we can then send a test function to it with `sam local invoke --event events/first_function_event.json` and see the output.

In most cases, we'll just chain these two commands together, and send `sam build -u && sam local invoke --event events/first_function_event.json`

Expected output from `sam build -u`

    Starting Build inside a container
    ...
    Build Succeeded

    Built Artifacts  : .aws-sam/build
    Built Template   : .aws-sam/build/template.yaml

Learn

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Teach

Amelia Wattenberger

Author of Fullstack D3

Community

Create a Serverless Slackbot with AWS Lambda and Python

Welcome: Introduction

Introduction:

Start Here

Introduction:

Create a Serverless Slack Bot with AWS Lambda and Python

Module 0: Configuring Your AWS Environment

Lesson 1:

AWS Environment Setup

Lesson 2:

Configuring Our AWS Workspace

Module 1: Configuring Your Local Machine

Lesson 1:

Preparing your Local Development Environment For AWS Lambda and Python Development

Lesson 2:

Installing Python 3 and Pyenv on MacOS, Windows, and Linux

Lesson 3:

Configuring the AWS CLI

Module 2: Creating Hello-world Lambda

Lesson 1:

How Our Slack Bot "Dicebot" Will Work

Lesson 2:

Creating an S3 Bucket for Lambda Artifacts

Lesson 3:

Creating a Basic Hello-World Lambda from SAM Cookiecutter Template

Lesson 4:

Testing a Hello-World AWS Lambda Function Locally with Docker

Lesson 5:

Deploying Your First AWS Lambda Hello-World Function Into Production

Module 3: Creating Dicebot Lambda

Lesson 1:

Creating a Slack App for our Custom Serverless Slack Bot

Lesson 2:

Exploring the Dicebot Core Code

Lesson 3:

Turning Our Hello-World Serverless Function into A Slack Dicebot

Lesson 4:

Testing Our Serverless Slack Dicebot with Docker Locally

Lesson 5:

Cleaning Up Our Serverless Dicebot Deployment

Testing a Hello-World AWS Lambda Function Locally with Docker

Testing a hello_world AWS Lambda Function Locally with Docker#