📊 Real-time System Monitoring
🛠 Kubernetes, Docker, and AWS Integration
🌐 Cloud-native Architecture
📈 Performance Metrics Visualization
🔹 AWS Account.
🔹 Programmatic access and AWS configured with CLI.
🔹 Python3 Installed.
🔹 Docker and Kubectl installed.
🔹 Code editor (Vscode)
Clone the code from the repository:
git clone https://github.com/Ameya-2003/SysMonitor
The application uses the psutil and Flask, Plotly, boto3 libraries. Install them using pip:
pip3 install -r requirements.txt
To run the application, navigate to the root directory of the project and execute the following command:
python3 app.py
This will start the Flask server on localhost:5000. Navigate to https://localhost:5000/ on your browser to access the application.
Create a Dockerfile in the root directory of the project with the following contents:
# Use the official Python image as the base image
FROM python:3.9-slim-buster
# Set the working directory in the container
WORKDIR /app
# Copy the requirements file to the working directory
COPY requirements.txt .
RUN pip3 install --no-cache-dir -r requirements.txt
# Copy the application code to the working directory
COPY . .
# Set the environment variables for the Flask app
ENV FLASK_RUN_HOST=0.0.0.0
# Expose the port on which the Flask app will run
EXPOSE 5000
# Start the Flask app when the container is run
CMD ["flask", "run"]
To build the Docker image, execute the following command:
docker build -t <image_name> .
To run the Docker container, execute the following command:
docker run -p 5000:5000 <image_name>
This will start the Flask server in a Docker container on localhost:5000. Navigate to https://localhost:5000/ on your browser to access the application.
Create an ECR repository using Python:
import boto3
# Create an ECR client
ecr_client = boto3.client('ecr')
# Create a new ECR repository
repository_name = 'my-ecr-repo'
response = ecr_client.create_repository(repositoryName=repository_name)
# Print the repository URI
repository_uri = response['repository']['repositoryUri']
print(repository_uri)
Push the Docker image to ECR using the push commands on the console:
docker push <ecr_repo_uri>:<tag>
Create an EKS cluster and add node group
Create a node group in the EKS cluster.
from kubernetes import client, config
# Load Kubernetes configuration
config.load_kube_config()
# Create a Kubernetes API client
api_client = client.ApiClient()
# Define the deployment
deployment = client.V1Deployment(
metadata=client.V1ObjectMeta(name="my-flask-app"),
spec=client.V1DeploymentSpec(
replicas=1,
selector=client.V1LabelSelector(
match_labels={"app": "my-flask-app"}
),
template=client.V1PodTemplateSpec(
metadata=client.V1ObjectMeta(
labels={"app": "my-flask-app"}
),
spec=client.V1PodSpec(
containers=[
client.V1Container(
name="my-flask-container",
image="568373317874.dkr.ecr.us-east-1.amazonaws.com/my-cloud-native-repo:latest",
ports=[client.V1ContainerPort(container_port=5000)]
)
]
)
)
)
)
# Create the deployment
api_instance = client.AppsV1Api(api_client)
api_instance.create_namespaced_deployment(
namespace="default",
body=deployment
)
# Define the service
service = client.V1Service(
metadata=client.V1ObjectMeta(name="my-flask-service"),
spec=client.V1ServiceSpec(
selector={"app": "my-flask-app"},
ports=[client.V1ServicePort(port=5000)]
)
)
# Create the service
api_instance = client.CoreV1Api(api_client)
api_instance.create_namespaced_service(
namespace="default",
body=service
)make sure to edit the name of the image on line 25 with your image Uri.
- Once you run this file by running “python3 eks.py” deployment and service will be created.
- Check by running following commands:
kubectl get deployment -n default (check deployments)
kubectl get service -n default (check service)
kubectl get pods -n default (to check the pods)Once your pod is up and running, run the port-forward to expose the service
kubectl port-forward service/<service_name> 5000:5000
Contributions to this repository are welcome! Feel free to fork the repository and submit pull requests with your enhancements or new projects.
If you have any questions or suggestions regarding the solutions in this repository, you can reach out to me Via Mail.