{"id":28560496,"url":"https://github.com/sajonaro/pricing-visualization","last_synced_at":"2026-05-01T02:31:21.157Z","repository":{"id":290798036,"uuid":"973770846","full_name":"sajonaro/pricing-visualization","owner":"sajonaro","description":"Comparison of the prices of different options of running containers in various modes of managed kubernetes and serverless 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widget to calculate cluster price\n\n## How to run it \n\n\n```bash\n# to run the widget\n$ make run\n```\n\n```bash\n# to stop the widget\n$ make kill\n```\n\n\n### Managed Kubernetes modes across major cloud providers\n\n| Cloud Provider     | Service Name                     | Autopilot (No Node Management) | Standard                |\n|--------------------|----------------------------------|--------------------------------|-------------------------|\n| Microsoft Azure    | Azure Kubernetes Service (AKS)   | Automatic (preview)            | Standard Mode           |\n| Google Cloud (GCP) | Google Kubernetes Engine (GKE)   | Autopilot                      | Standard Mode           |\n| Amazon Web Services (AWS) | Elastic Kubernetes Service (EKS) | Auto Mode               | Standard Mode           |\n| IBM Cloud          | IBM Kubernetes Service           | Not Available                  | Standard Mode           |\n| Oracle Cloud       | Container Engine for Kubernetes (OKE) | Not Available             | Standard Mode           |\n\n### Serverless options \n| Provider      | Service Name           | Backing Tech          | Abstraction Level | Use Case                                      | Pricing Model                       |\n|---------------|------------------------|-----------------------|-------------------|-----------------------------------------------|-------------------------------------|\n| Google Cloud  | Cloud Run              | Knative               | High              | Stateless HTTP containers                      | Per request + CPU/Memory per sec  [link to pricing](https://cloud.google.com/run/pricing) |\n| AWS           | App Runner             | AWS-managed           | High              | Web services, APIs from container images       | Per request + CPU/Memory per sec, [link to pricing](https://aws.amazon.com/apprunner/pricing/)   |\n| Azure         | Azure Container Apps   | Kubernetes + KEDA     | High              | Event-driven or HTTP microservices             | Per request + CPU/Memory per sec, [link to pricing](https://azure.microsoft.com/en-us/pricing/details/container-apps/)   |\n| Azure         | AKS with Virtual Nodes | Kubernetes (AKS + ACI)| Medium           | Burst workloads in Kubernetes                  | Per vCPU/Memory (ACI pricing)       |\n| Google Cloud  | GKE Autopilot          | Kubernetes            | Medium            | Kubernetes apps without node management        | Per pod vCPU/Memory usage          |\n| AWS           | AWS Fargate (with EKS) | Kubernetes (EKS)      | Medium            | Run pods without managing EC2 nodes            | Per vCPU and memory per second   [link to pricing](https://aws.amazon.com/fargate/pricing/)  |\n\n#### Pricing references\n\nMore details are in `./data.json`, but below are some quick links\n- [GCP GKE Autopilot](https://cloud.google.com/kubernetes-engine/pricing)\n- [GCP Cloud Run, LA = us-west-2](https://cloud.google.com/run/pricing#tables)\n- [GCP Cloud Run Functions, (aka Functions)](https://cloud.google.com/functions/pricing-1stgen), \n- [AWS EKS Fargate](https://aws.amazon.com/fargate/pricing/)\n- [Azure ContainerApps](https://azure.microsoft.com/en-us/pricing/details/container-apps/)\n\n\n### Strategies for cost optimization\n\nData shows only { k8 } and {k8 + autopilot } are really viable options (cost efficiency wise).\nSo the exact tactics may be:\n1. Using spot instances ( for both K8 and k8 + autopilot)\n2. Using k8 with custom autoscaler e.g. Karpenter \n3. (Mutually exclusive to 2) Self manage node pool ( * experimenting with pod density,CPU/RAM ratio, VM size, utilization parameters to find optimal configuration )\n4. Combination of above\n5. Make sure to NOT use GKE Enterprise + Autopilot (use standard)\n6. Prefer ARM vs x86 architectures (as it is marginally consistently cheaper)\n\n#### TODO cost-efficiency / maintainability chart\n\n\n### VM prices reference:\n- [link to Azure](https://instances.vantage.sh/azure/vm/f72s-v2)\n- [link to AWS](https://instances.vantage.sh/aws/ec2/c6i.32xlarge)\n- [link to GCP](https://instances.vantage.sh/aws/ec2/c6i.32xlarge)\n\n#### quick Comparison of VM Instances Across Cloud Providers\n \n| Instance Type    | vCPUs | RAM (GiB) | Price (On-Demand) | Cloud Provider     |\n|------------------|-------|-----------|-------------------|--------------------|\n| Standard_F72s_v2 | 72    | 144       | $3.04/hour        | Azure              |\n| c6i.32xlarge      | 128   | 256       | $5.44/hour        | AWS                |\n| m6i.24xlarge      | 96    | 384       | $4.75/hour        | AWS                |\n| n2-highcpu-72     | 72    | 64        | $2.294/hour       | Google Cloud (GCP) |\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsajonaro%2Fpricing-visualization","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsajonaro%2Fpricing-visualization","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsajonaro%2Fpricing-visualization/lists"}