Google Kubernetes Engine vs. Podman.io

Google Kubernetes Engine is well suited for dynamic and large workloads since it can scale up with usage. It is easily configurable, which allows for flexibility. User interface is simple to navigate, which reduces roadblocks for a team with people unfamiliar with Kubernetes. Great if you are already using other GCP services as it integrates well with that.

Incentivized

While it always depends on your use case, I believe security concerns of need for root user is a concern, so it is worth considering daemonless container service over Docker, which works just as good and has support for docker compose. Another good reason is the licensing for enterprise usage, which podman has no restrictions for. It’s also a great choice for OpenShift integration, which is seamless and works well with Rancher as well.

Incentivized

• 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.

Incentivized

• It’s daemonless, so somewhat more secure.
• It works exceptionally well and is compatible with Docker compose
• Podman Desktop actually makes individual usage also pretty easy.
• It can be used as Docker alternative with almost no additional steps

Incentivized

• 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

Incentivized

• Podman desktop is getting more stable with each version, but does need more UX friendliness as well.
• Official support for development tools and IDEs is missing for most tools
• It works well with Kubernetes, but I wouldn’t mind additional improvements

Incentivized

It's a great product if you learn it. It has flexibility and is very strong. Autoscaling and Resource management make running huge applications a breeze. Using Helm with Kubernetes and Terraform for infrastructure creation can totally automate your CICD pipeline. You also get easy access to CUDA cores for machine learning.

Incentivized

Google support is excellent and helpful, but the first answer is always so bureaucratic no matter how many logs, evidence, and information you sent.

Incentivized

We had to move several products to Google Cloud, and the Google Kubernetes Engine was the option recommended to us, so we investigated it and ran with it. Back then (2019), we were not aware of Cloud Run-provisioned K8s clusters, so our other option was a completely self-managed K8s cluster on Compute Engine VMs, which we did not have the knowledge of and capacity to handle.

Incentivized

Podman is Daemonless, lightweight and doesn’t charge us for commercial usage, so it’s a relief for startups. Minikube and Rancher are a bit more complex for our use cases; so we keep things simple, fast and secure with Podman that can easily be managed with Podman Desktop and other works with our docker-compose based projects without issues.

Incentivized

• Compared to other big K8s providers it has the best price/performance factors.
• Upgrade process from stable to regular versions
• Old stable releases: 1.15/1.16 should be in a stable branch.

Incentivized

• We definitely feel more secure.
• We do not suffer from memory or cpu overuses as it uses fedora coreOS which is lightweight
• We do not have to worry about license payments for our basic usages.
• It’s open source so quick fixes imminent with maximum transparency.

Incentivized