Likelihood to Recommend 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.
Read full review The Google
Kubernetes Engine clusters are very good at being a managed cloud K8s platform - lots of documentation, features, and updates are available. It's also newbie-friendly - for both administrators and developers. Unfortunately, currently, it cannot reach true zero scale - thus, costs (rent for the service) are still involved even if you are barely using it. Thankfully, it's possible to have alternatives in Google Cloud:
Your own K8s cluster on Compute Engine VMs - you manage it completely; it will have access to a lot of Google Cloud services. Cloud Run cluster - less documented but more flexible Anthos clusters - you can use this service for a lot of types of K8s clusters - Google Kubernetes Engine, Cloud Run, on-prem, AWS, Azure Read full review Pros Packaging of application to limit the space occupied Ease of running the application Provide multiple ways to handle the application issues and integration of different components like pipeline, ansible, terraform etc Read full review Deployment of a new GKE cluster is really fast in comparison to other cloud providers. GCP is ahead other vendors and always provide the most up to date Kubernetes version. GKE automation for master upgrade and the worker nodes pool works really well. Read full review Cons Docker hub image retention policy can be relaxed Docker hub policies can be more developer friendly Docker CLI help section can be improved Image and container storage (local) management can be optimized Read full review Not as intuitive as it could be Documentation could be better, especially for people using other Google Cloud tools Not the preferred Kubernetes Engine for many apps Read full review Usability Very easy to use, great tutorials, documentation and cheat sheets out there to help you become a Docker Wiz
Read full review Google Kubernetes Engine has a good UI and documentation that facilitates setup and helps get projects moving along quickly Its built-in logging integrations with StackDriver make it easier to monitor the application and log issues quickly Automated orchestration, deployment, and scaling of nodes and networking are all easily configurable with yaml files Read full review Reliability and Availability Haven't seen any outages, fatal/unrecoverable errors in my usage so far. Enough said.
Read full review Performance Docker Desktop. The CPU high usage is a known issue. Needs fixing. Otherwise, it is great overall. Would not use anything else still.
Read full review Support Rating Very good
Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.
Read full review Alternatives Considered 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.
Read full review GKE spins up new nodes a LOT faster than AKS. GKE's auto scaler runs a lot smoother than AKS. GKE has a lot more
Kubernetes features baked in natively.
Read full review Scalability 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.
Read full review Professional Services When issues came up, we reached out to some folks at GCP and they seemed to be very prompt and attentive to our needs. They were always willing to help and provide additional details or recommendations or links to resources. This kind of support is very helpful as it allows us to navigate GKE with more confidence. Read full review Return on Investment Reduces the number of virtual machine which impacted our quarterly billing Using docker with proxy we run multiple application on same port on same host. impact on billing is we have to provide docker training to the people who are working on it. Read full review Positive: Allowed us to start and produce working software regardless of our experience level. Positive: Integration with other Google Cloud services that we wanted to use anyway. Negative: It's kinda clunky, and some scenarios seem Google Kubernetes Engine-specific instead of being more integrated with other Google Cloud services or the web UI. Read full review ScreenShots