##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:
-
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.
- 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.
- 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.
-
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.