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https://github.com/hi120ki/downdetector

Automated alive monitoring tool running on AWS Lambda
https://github.com/hi120ki/downdetector

alive-check aws aws-cdk cdk

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Automated alive monitoring tool running on AWS Lambda

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README

        

# DownDetector

An automated service monitoring tool that runs on lambda.

Deployment is possible with fewer commands using aws cdk.

Required commands

```
echo $slack_key >> lambda/secret
mv target.json lambda/target.json
```

and deploy by aws cdk

## Welcome to your CDK Python project!

You should explore the contents of this project. It demonstrates a CDK app with an instance of a stack (`downdetector_stack`)
which contains an Amazon SQS queue that is subscribed to an Amazon SNS topic.

The `cdk.json` file tells the CDK Toolkit how to execute your app.

This project is set up like a standard Python project. The initialization process also creates
a virtualenv within this project, stored under the .env directory. To create the virtualenv
it assumes that there is a `python3` executable in your path with access to the `venv` package.
If for any reason the automatic creation of the virtualenv fails, you can create the virtualenv
manually once the init process completes.

To manually create a virtualenv on MacOS and Linux:

```
$ python3 -m venv .env
```

After the init process completes and the virtualenv is created, you can use the following
step to activate your virtualenv.

```
$ source .env/bin/activate
```

If you are a Windows platform, you would activate the virtualenv like this:

```
% .env\Scripts\activate.bat
```

Once the virtualenv is activated, you can install the required dependencies.

```
$ pip install -r requirements.txt
```

At this point you can now synthesize the CloudFormation template for this code.

```
$ cdk synth
```

You can now begin exploring the source code, contained in the hello directory.
There is also a very trivial test included that can be run like this:

```
$ pytest
```

To add additional dependencies, for example other CDK libraries, just add to
your requirements.txt file and rerun the `pip install -r requirements.txt`
command.

## Useful commands

* `cdk ls` list all stacks in the app
* `cdk synth` emits the synthesized CloudFormation template
* `cdk deploy` deploy this stack to your default AWS account/region
* `cdk diff` compare deployed stack with current state
* `cdk docs` open CDK documentation

Enjoy!