Cypienta Pipeline Deployment using AWS CloudFormation

Welcome to the repository for the Cypienta Pipeline deployment! This repository contains an AWS CloudFormation template to help you quickly deploy the Cypienta pipeline in a fully automated and reproducible manner.

---

Table of Contents

• Overview
• Features
• Architecture
• Prerequisites
• Setup and Deployment
• Parameters
• Outputs
• Usage
• Troubleshooting
• Contributing
• License

---

Overview

Cypienta Pipeline is a robust, scalable, and efficient pipeline designed for [specific use case, e.g., data processing, CI/CD, etc.]. This repository provides an AWS CloudFormation template to deploy the pipeline with minimal effort, allowing you to focus on utilizing its features.

---

Features

• Automated Deployment: Infrastructure as Code (IaC) ensures consistency and repeatability.
• Highly Scalable: Designed to handle high-volume workloads.
• Cost-Efficient: Leverages AWS services to optimize performance while keeping costs low.
• Customizable: Configurable parameters for flexibility in deployment.

---

Architecture

The deployed pipeline leverages the following AWS services:

• AWS Lambda: For serverless compute tasks.
• Amazon S3: For storage of input/output data.
• Amazon ECS/Fargate: For containerized processing.
• Amazon RDS/Aurora: (Optional) For relational database needs.
• Amazon CloudWatch: For logging and monitoring.

---

Prerequisites

Before deploying, ensure you have the following:

1. AWS CLI installed and configured with appropriate credentials.
2. IAM Permissions: Ensure the IAM user or role deploying the stack has the necessary permissions to create the resources in the template.
3. CloudFormation Ready Account: Your AWS account should have a default VPC and the required service limits.
4. (Optional) Domain Configuration: If the pipeline requires DNS records, configure your domain in Route 53.

---

Setup and Deployment

Recommended: Follow Cypienta Docs to deploy this template via the browser.

Advanced Users can also use the CLI:

1. Clone the Repository:

   git clone https://github.com/cypienta/AWS.git
   cd AWS

2. Validate the CloudFormation Template:

   aws cloudformation validate-template --template-body file://template.yaml

3. Deploy the Stack:

   aws cloudformation deploy \
       --template-file template.yaml \
       --stack-name cypienta-pipeline-stack \
       --parameter-overrides <Key=Value pairs> \
       --capabilities CAPABILITY_NAMED_IAM

4. Monitor Deployment: Navigate to the AWS CloudFormation Console to view the stack's status.

---

Parameters

The following parameters can be configured during deployment:

Parameter	Description	Default Value
PipelineName	Name of the pipeline	CypientaPipeline
Environment	Deployment environment (e.g., dev)	dev
InstanceType	EC2 instance type for workers	t3.medium
BucketName	S3 bucket for pipeline data	auto-generated
DatabaseEnabled	Whether to use a database	false

---

Outputs

After deployment, the stack will output key resources:

• PipelineURL: Endpoint URL for the pipeline.
• S3BucketName: Name of the created S3 bucket.
• PipelineLogs: Link to the CloudWatch logs for debugging.
• UI URL: Link to the deployed UI for usage.

---

Usage

1. Upload Data: Place input files in the S3 bucket under the input/ folder.
2. Trigger Pipeline: Use the provided endpoint to trigger the pipeline (manual or via automated tools).
3. Monitor Progress: Check CloudWatch logs for real-time processing details.
4. Retrieve Results: Processed files will be available in the output/ folder of the S3 bucket.

---

Troubleshooting

• Deployment Fails: Check the CloudFormation events tab for detailed error messages.
• Pipeline Errors: Inspect CloudWatch logs for detailed logs of each step in the pipeline.
• Permission Issues: Ensure your IAM role/user has sufficient permissions.

---

Contributing

We welcome contributions! Please open issues or submit pull requests for any bugs, feature requests, or improvements.

1. Fork the repository.
2. Create a new branch: git checkout -b feature/your-feature-name.
3. Commit your changes: git commit -m 'Add some feature'.
4. Push to the branch: git push origin feature/your-feature-name.
5. Open a pull request.

---

License

This repository is licensed under the MIT License. See the LICENSE file for details.

---

Feel free to reach out via Issues if you encounter any problems or have questions! 🚀