Prerequisites
Before we get started, make sure you have the following tools and services installed and configured:
🚀 Two AWS EC2 instances with Ubuntu 20.04 LTS installed of instance type t2.medium
🚀 Setting up Kubernetes Cluster
1️⃣ Deploying the Flask API
Create Deployment
Master node command below
Worker command below to check whether the container is working or not
2️⃣ Scaling the Pod
Added an API service on NodePort (expose to an outside pod)
kubectl apply -f taskmaster-svc.yml
3️⃣ Adding Persistent Volume
4️⃣ Deploying MongoDB
Applying deployment for creating MongoDB below
Go to the worker node and type docker ps to get the Mongo DB status
Mongo DB running now
5️⃣ Now connecting Mongo DB to the outer side world
This will create a new Service that maps port 27017 to the MongoDB container.
6️⃣ Test the Flask API
With the MongoDB database and Flask API deployed, we can now test the API to ensure that everything is working as expected. To do this, I'll use the curl command to make HTTP requests to the API.
Create a task
To create a task in the API, run the following command:
curl -H "Content-Type: application/json" -X POST -d '{"title": "Do laundry", "description": "Wash and fold clothes"}' http://<server-ip>:30007/tasks
Replace <server-ip> with the IP address of the node that the Flask API Service is running on. If the task is created successfully, you should see a JSON response containing the task details:
{"_id": {"$oid": "60924af78432c1d826ef23ec"}, "title": "Do laundry", "description": "Wash and fold clothes"}
Get all tasks
To get all tasks from the API, run the following command:
curl http://<server-ip>:30007/tasks
Replace <server-ip> with the IP address of the node that the Flask API Service is running on. If everything is working correctly, you should see a JSON response containing the task you just created:
[{"_id": {"$oid": "60924af78432c1d826ef23ec"}, "title": "Do laundry", "description": "Wash and fold clothes"}]
Get a specific task
To get a specific task by ID, run the following command:
curl http://<server-ip>:30007/tasks/<task-id>
Replace <server-ip> with the IP address of the node that the Flask API Service is running on, and <task-id> with the ID of the task you want to retrieve. If everything is working correctly, you should see a JSON response containing the details of the specified task:
{"_id": {"$oid": "60924af78432c1d826ef23ec"}, "title": "Do laundry", "description": "Wash and fold clothes"}
Update a task
To update a task by ID, run the following command:
curl -H "Content-Type: application/json" -X PUT -d '{"title": "Do laundry", "description": "Wash and fold clothes and towels"}' http://<server-ip>:30007/tasks/<task-id>
Replace <server-ip> with the IP address of the node that the Flask API Service is running on, and <task-id> with the ID of the task you want to update. If the task is updated successfully, you should see a JSON response containing the updated task details:
{"_id": {"$oid": "60924af78432c1d826ef23ec"}, "title": "Do laundry", "description": "Wash and fold clothes and towels"}
Delete a task
To delete a task by ID, run the following command:
curl -X DELETE http://<server-ip>:30007/tasks/<task-id>
Replace <server-ip> with the IP address of the node that the Flask API Service is running on, and <task-id> with the ID of the task, you want to delete. If the task is deleted successfully, you should see a JSON response containing the ID of the deleted task:
{"_id": {"$oid": "60924af78432c1d826ef23ec"}}
Troubleshooting
During the deployment process, you may encounter some errors. Here are a few common errors and how to troubleshoot them:
Error: "The connection to the server localhost:8080 was refused"
Thank you!!