Best tool for application development and deployment.
Use Cases and Deployment Scope
Docker helps us to run DBT in our local environment with help of Docker container and Docker image. Docker helps us to deploy our code with continuous integration and build highly scalable data processing system. The use case for Docker in our organization is to create a containerize data analytics and transformation pipeline. We use docker to containerize our DBT code.
Pros
- Docker can deploy applications in different environment.
- Docker is great for continuous integration and continuous delivery(CI/CD).
- Docker provides fast and consistent delivery of our application.
Cons
- Docker should provide integrated tools to troubleshoot issues in the containers.
- Docker can improve their support and documentation for storage solutions.
- Docker can improve their logging and monitoring tools to show deeper insights on container performance and health.
Return on Investment
- Workflow efficiency has improved by automating build, test and deploy with CI/CD pipelines.
- Docker leads to faster release cycles by streamlining the deployment process.
- Docker reduced the need for additional hardware by maximizing the resource utilization.
