Docker Enterprise was sold to Mirantis in 2019; that product is now sold as Mirantis Kubernetes Engine. But Docker now offers a 2-product suite that includes Docker Desktop, which they present as a fast way to containerize applications on a desktop; and, Docker Hub, a service for finding and sharing container images with a team and the Docker community, a repository of container images with an array of…
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Google Container Registry
Score 8.0 out of 10
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Google Cloud Container Registry is a place to manage Docker images, perform vulnerability analysis, and decide who can access what with fine-grained access control. Existing CI/CD integrations let users set up fully automated Docker pipelines.
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Apache Mesos
Docker
Google Container Registry
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Mesos
Docker
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Apache Mesos
Docker
Google Container Registry
Features
Apache Mesos
Docker
Google Container Registry
Container Management
Comparison of Container Management features of Product A and Product B
There's really no reason to ever use Mesos. We switched over to Kubernetes and it's been a breath of fresh air - better CD support, easy CLI for browsing logs, no mysterious dangling redeploys. If you're looking for a tool to manage a fleet of Docker containers on VMs, Kubernetes beats Mesos by a wide margin.
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.
As a Cloud Engineer while working on a migration project we used GCR and my experience of using it is actually good the reason behind this is: 1: GCR uses industry-standard encryption to protect your data.2: GCR offers data loss prevention features to help you prevent sensitive data from being leaked or exposed and last but not the least is GCR provides audit logging so you can track who has accessed your data and when, because of these reasons its my go to tool.
Mesos may have many frameworks. If you have Mesos installed on your servers, you may use it for many kinds of tasks. Today we're running only web applications but the idea is to install a different framework for big data soon.
Unreliable deployments that would fail for no good reason. Sometimes our Docker container would be "restarting" forever because Mesos thought it didn't have enough resources to start the container.
Impossibly slow UI. Built in React under the hood with a lot of bloatware backed in, so loading the Mesos UI on a slow internet connection was painful.
No real logging solution - it would stream "console.log()" output to the UI, but searching for logs wasn't really possible without downloading a huge file.
No built-in support for redeploying containers from a CI. We had to create a service whose whole job was to expose an HTTP endpoint that restarted a container, and then made Circle CI ping the endpoint whenever we wanted to redeploy.
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
Kubernetes is really great and their community is growing really fast (Google influence). We evaluated it in the beginning and it would fit for our web applications workload. We decided to proceed with Mesos because it has more potential. You may use a different framework for different kinds of tasks on Mesos. There is a Kubernetes framework for Mesos, by the way.
The reason why we are still using Docker right now is due to that is the best among its peers and suits our needs the best. However, the trend we foresee for the future might indicate Amazon lambda could potentially fit our needs to code enviornmentless in the near future.
It is very easy to integrate GCR with other services and I integrated GCR with GKE and Cloud Build. 1: While working on one project I created one pipeline pulls the app's Docker image from GCR and builds the app's Docker image. Deployed that apps image in GKE. 2: Ive stored the data in GCR and that data was being used by cloud Run applications
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.
As a DevOps Engineer , GCR has made a important contribution to my organisation because GCR can be used to store code and assets, which can help to reduce the development time for new projects.
Using GCR has been a cost-effective solution for us since we only pay for the storage we actually utilise. This has resulted in significant savings on our cloud storage expenses.
We trust GCR because they prioritise the security of our data by utilising industry-standard encryption. This assurance brings us peace of mind, as we know our information is protected.