Best tool for application development and deployment.
Overall Satisfaction with Docker
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.
- 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.
Do you think Docker delivers good value for the price?
Yes
Are you happy with Docker's feature set?
Yes
Did Docker live up to sales and marketing promises?
I wasn't involved with the selection/purchase process
Did implementation of Docker go as expected?
Yes
Would you buy Docker again?
Yes

Comments
Please log in to join the conversation