In this comprehensive tutorial, we delve into constructing a robust image processing pipeline leveraging Apache Kafka for real-time data streaming and deploying it using Docker Compose for streamlined container orchestration. I’ll guide you through containerizing the application, setting up Kafka clusters, and orchestrating services using Docker Compose. By the end of this session, we’ll have a fully functional, scalable image processing pipeline with GCP/AWS which is ready for production workloads.
Key Takeaways:
- Understanding the architecture of an image processing pipeline.
- Setting up and configuring Apache Kafka for message brokering.
- Containerizing applications using Docker.
- Deploying and managing services with Docker Compose.
- Implementing asynchronous processing for scalability.
- Setting cup CI/CD with GitHub action
Prerequisites:
- Basic knowledge of Python programming.
- Familiarity with Docker and containerization concepts.
- Understanding of Apache Kafka fundamentals(Don’t worry if no I have covered this as well)
- Docker and Docker Compose installed on system.
⭐️ Timeline ⭐️
00:00 : Introduction and objectives overview
02:21 : Overview of the system architecture and components
05:24: Setting up the development environment and prerequisites
06:36: Configuring Apache Kafka for message brokering, asynchronous processing, task queuing, monitoring and logging
20:43 : Building and containerizing the image processing application with Docker
32:44 : Deploying the Dockerized application and Kafka using Docker Compose
35:40: Running , monitoring and testing the pipeline and
41:31 : Best practices for scalable design in AWS, GCP environment
45:10 : Inspecting processed image and Conclusion
📥 Resources:
📌 Article: https://medium.com/@abonia/building-a-scalable-image-processing-pipeline-with-kafka-and-docker-compose-c99a1a91e021
📌 Github: https://github.com/Abonia1/Kafka-Image-Processing-Pipeline
📌 Docker Download: https://docs.docker.com/desktop/setup/install/mac-install/___________________________________________________________________________
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#ApacheKafka #DockerCompose #ImageProcessing #DataPipeline #RealTimeProcessing #Python #MLOps