Azure Kubernetes Service Pricing
The cost of Azure Kubernetes Service (AKS) is determined by the resources required by your application and the underlying infrastructure, including the number of cluster nodes, the volume of storage accessed, and the volume of network traffic. You don’t need to make any upfront payments or long-term commitments; you only pay for the resources you use.
Here are the main components of AKS pricing:
- Nodes: The number of nodes in your cluster will determine how much AKS costs, with prices ranging by area and type of virtual machine. Depending on your needs, you can pick between various virtual machine types, such as ordinary and premium.
- Storage: Storage costs are determined by how much space your applications consume, including the space needed for data volumes, pods, and Docker images.
- Networking: AKS charges for the inbound and outbound data transfers, load balancing, and public IP addresses that are generated by your applications.
- Other Azure services: AKS interfaces with other Azure services like Azure Cosmos DB, Azure Database for MySQL, and Azure Database for PostgreSQL. Along with the fees for AKS, you will also be charged for any use of these services.
- Additional charges: Depending on your individual needs, AKS may charge extra for services like managed drives, managed identities, and virtual network peering.
To estimate your AKS costs, you can use the Azure pricing calculator, which allows you to input your specific requirements and calculate your expected monthly costs.
In conclusion, Azure Kubernetes Service (AKS) is a powerful platform for deploying and managing containerized applications at scale. With its ease of use, scalability, security features, and integration with other Azure services, AKS is a great choice for organizations looking to improve the speed and reliability of their application deployments.
What is Azure Kubernetes Service?
Kubernetes is an open-source platform for automating the deployment, scaling, and management of containerized applications. It has become the de facto standard for managing containers in production and is used by organizations of all sizes to improve the speed and reliability of their application deployments.