nbms12/aws-app-runner

##Problem :

eliminating the need for infrastructure management often associated with Kubernetes. Running a cluster required redundant management nodes and over-provisioning due to slow autoscaling, leading to wasted resources. Scaling Issues: Managing high job volumes was challenging, more time is consumed on deployment.

##Solution :
AWS App Runner as an alternative to Kubernetes (K8s) for deploying web applications and APIs. App Runner offers a simplified, fully managed approach to container deployment, eliminating the need for infrastructure management often associated with K8s

steps:

1. Create an App Runner service using github as source code

   

2.Configure application build.

Provide the following build settings:

Runtime – Choose Python 3.

Build command – Enter pip install -r requirements.txt.

Start command – Enter python server.py.

Port – Enter 8080.

3. Configure your service.

Under Environment variables, select Add environment variable. Provide the following values for the environment variable.

Source – Choose Plain text

Environment variable name – NAME

Environment value as any value

4.Review and create page, verify all the details you've entered

5.Verify that your service is running.

6. Change your service code

make a change to your code in the repository source directory. The App Runner CI/CD capability automatically builds and deploys the change to your service.

7. debug and troubeshoot

   we can see logs for your service, attached to our app, there are 3 types of logs

   Event log – Activity in the lifecycle of your App Runner service. The console displays the latest events.

   Deployment logs – Source repository deployments to your App Runner service. The console displays a separate log stream for each deployment.

   Application logs – The output of the web application that's deployed to your App Runner service. The console combines the output from all running instances into a single log stream.