Google Kubernetes Engine vs. Vultr

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

Incentivized

Vultr is best suited to deploy classic web applications, web services, and websites. It's well suited for mid-level traffic but has a wonderful option of expanding the disk storage, making it very well suited to run applications and services that need to consume a lot of data but don't need a lot of computing power. It may not be well suited to run applications that rely on a vast number of web services and require a vast number of data centers.

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

• Cloud Computing
• SSD VPS computing
• Access controlling
• Dashboard
• monitoring

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

• Price
• Bandwidth
• Tiers (more)
• Remove redundancy. Why have 3 things with 1 CPU and 2 GB of RAM? Just let them pick intel or AMD at the end.

• 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

Incentivized

Very good Kubernetes distribution with a reasonable total price. Integration with storage and load balancer for ingress and services speed up every process deployment.

Incentivized

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.

Incentivized

Vultr started out primarily as a VM-only provider, but has since expanded offerings and locations to be a serious alternative for a lot of businesses currently using a large, expensive cloud provider. Vultr may not be for everyone or every workload, but there are many businesses and individuals that are adding way too much complexity and cost to their projects by using large cloud platforms they do not really need. Update to review: Vultr's new Optimized Compute offerings are a game changer. They are designed to accommodate a more diverse or resource-intensive workload

• 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.

Incentivized

• 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.

Incentivized

• My Business achieved more Returns on Investment since the servers are more affordable and highly available than what I've used before.