Alauda Container Platform vs. Docker

Scenario: A financial institution needs to use both private cloud (sensitive data) and public cloud (high-concurrency business) at the same time. Dispersed resources lead to high operation and maintenance costs.Solution: Use Alauda to uniformly manage heterogeneous clusters, achieve one-click deployment of cross-cloud applications, intelligent traffic scheduling, and visualized cost analysis.

You are going to be able to find the most resources and examples using Docker whenever you are working with a container orchestration software like Kubernetes. There will always some entropy when you run in a container, a containerized application will never be as purely performant as an app running directly on the OS. However, in most scenarios this loss will be negligible to the time saved in deployment, monitoring, etc.

Incentivized

• Kubernetes context switching - very handy
• Integrate well and seamless - No complicated setup and or UX
• Ease of updating images and etc - very important

Incentivized

• It will be nice to see an admin UI for configuration of images
• Container networking can be simplified
• Data storage/volume management can be simplified

Incentivized

1. Support unified orchestration and scheduling of cross-cloud resources to meet business elasticity requirements in complex environments. 2. Built-in CI/CD, monitoring and other functions, significantly improving the entire application delivery cycle. 3. Active in large and medium-sized clusters (thousands of nodes), low control failure rate, suitable for core business load.

I have been using Docker for more than 3 years and it really simplifies the modern application development and deployment. I like the ability of Docker to improve efficiency, portability and scalability for developers and operations teams. Another reason for giving this rating is because Docker integrates CI/CD pipelines very well

Incentivized

Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.

Incentivized

Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.

Incentivized

We need a solution where initially we can use an OS to trigger our pipeline to be used by terraform and then later in ansible. After doing all work it automatically get exited and we can reclaim the space of our VM. So we created a gitlab pipeline and at the initial stage we defined a docker file which will be our base image and we performed all our activities inside that image to build infrastructure using terraform. Integration we have done in our gitlab pipeline and finally we remove the docker image so that the space can be reclaimed immediately.

It is the only tool in our toolset that has not [had] any issues so far. That is really a mark of reliability, and it's a testimony to how well the product is made, and a tool that does its job well is a tool well worth having. It is the base tool that I would say any organisation must have if they do scalable deployment.

Incentivized

• With Docker adoption, were able to reduce 40% of the time taken to complete workspace setup
• Provided the environment packaging / configurability capability which enabled resource sharing and interoperability across teams
• Were able to leverage off the shelf images provided by leading product companies which increased reliability and security exponently

Incentivized