Can you explain the pipeline we were talking about?

The pipeline we discussed is a full‑stack CI/CD and data processing workflow. It starts with source control in GitHub, where every push triggers a GitHub Actions workflow. The workflow builds a Docker image, runs unit tests, and pushes the image to Amazon ECR. Deployment is handled by AWS ECS, which pulls the image and runs it in a cluster. For data, we ingest streams via Kafka topics; each topic feeds into a Spark Structured Streaming job that performs transformations and writes results to Amazon Redshift for analytics. The pipeline includes automated linting, security scanning, and performance tests. Monitoring is achieved with CloudWatch for logs and metrics, and Prometheus/Grafana for custom dashboards. This design ensures rapid, reliable delivery of code changes while maintaining data integrity and observability across the stack.