-
- macOS:
brew install git
- Linux (Ubuntu):
sudo apt-get update && sudo apt-get install git-all
- macOS:
-
conda
-
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-MacOSX-x86_64.sh -O ~/miniconda.sh bash ~/miniconda.sh -b -p $HOME/miniconda
For MacOS Catalina:
If you are on macOS Catalina, the new default shell is zsh. You will instead need to run
source <path to conda>/bin/activate && conda init zsh.
-
Follow the instructions in this page
Clone the github repo
$ git clone [email protected]:markus-hinsche/dsr-serverless-course.git
cd dsr-serverless-course
Create python3.9 virtual env, use
$ conda create -n dsr-serverless-py39 python=3.9 -y
Activate this environment, use
$ conda activate dsr-serverless-py39
Install needed libraries, use
$ pip install -r requirements.txt
Note: to deactivate an active environment, use
$ conda deactivate
Install zip
command:
-
Ubuntu:
sudo apt-get install -y zip
-
Manjaro:
sudo pacman -S zip
Note: In case if you get any error while installing the package, try the command below and repeat the previous commands
sudo pacman -Rs zip
Before using aws-cli, you need to configure it with your AWS credentials.
You can create a user in https://console.aws.amazon.com/iam/ and export the credentials csv.
If the user name is cli-user
, run the following:
$ aws configure --profile cli-user
AWS Access Key ID: foo
AWS Secret Access Key: bar
Default region name [us-west-2]: eu-central-1
Default output format [None]: json
$ export AWS_PROFILE=cli-user
If you have an issue
To test if you have access, run the following and you shouldn't see an error:
$ aws iam get-user
{
"User": {
"Path": "/",
"UserName": "cli-user",
"UserId": "HASH",
"Arn": "arn:aws:iam::account-id:user/cli-user",
"CreateDate": "2021-06-06T17:59:12Z"
}
}
Note: If you have an issue in using the aws command try the following way in doing the setup:
$ cat ~/.aws/config
[default]
region=us-west-2
aws_access_key_id=foo
aws_secret_access_key=bar
$ aws configure
AWS Access Key ID [****************foo]:
AWS Secret Access Key [****************bar]:
Default region name [us-west-2]:
Default output format [None]:
Note: using the new AWS CLI version 2 Docker image might not work with all examples.
To create an env variable in Windows:
set ROLE_ARNN="value"
To create a variable which you use in your terminal
ROLE_ARNN="value"
To check its value
echo %ROLE_ARN% on windows
So, to create Lambda For Windows (for tutorial 4,5,6)
set MY_NAME= Enter your name
aws lambda create-function --function-name %MY_NAME%-function-from-cli --runtime python3.9 --handler lambda_function.lambda_handler --role %ROLE_ARN% --zip-file fileb://my_lambda.zip
To learn more, follow this tutorial 00-intro.md
To learn more, follow this tutorial 01-aws-console-general-intro.md
To learn more, follow this tutorial 02-create-lambda-from-blueprint-with-aws-console.md
To learn more, follow this tutorial 03-create-lambda-from-scratch-with-aws-console.md
To learn more, follow this tutorial 04-create-lambda-with-aws-cli.md
To learn more, follow this tutorial 05-create-lambda-with-aws-cli-and-shell-scripts.md
To learn more, follow this tutorial 06-text-to-speech-lambda-boto3-and-polly.md