Pingan Kubernetes cluster Service
Pingan Kubernetes cluster Service (PKS) integrates resources like Ping An Cloud host, storage, and network to provide safe, user-friendly and convenient Docker cloud services for you. It supports deployment of high-availability clusters with a click, startup of mass containers within seconds, and security isolation of tenants’ resources, and provides services such as user-defined image management, application load balancing, data security and reliable storage, service scheduling and deployment, and log alerts to simplify your business operation & maintenance, facilitate secure and steady system running and upgrade deployment rapidly.
Value Proposition
One-click Deployment
Provide one-click deployment of high-availability container clusters, support resource scheduling, container orchestration, and auto scaling, and simplify distributed deployment and management of applications.
Flexible and Efficient
Support startup of mass containers within seconds, smooth migration, and rapid capacity expansion, reduce operation & maintenance costs, and support the entire process of automation from construction, test, packaged integration and deployment.
Security and Effective Control
The container service starts on your own cloud server and uses your own VPC security group and network ACL. Resources and networks of tenants are completely isolated, and computing resources are exclusive. It fully meets CSA, ISO20000 and many other authoritative safety standards in the world.
Cut Costs
The container service itself is free of charge, and you can use API for free to develop your cluster management program. It helps you increase the resource utilization rate resource costs.
Use Cases
- Continuous Integration and Delivery of DevOps
- Microservice Architecture
-
Rationally split the business, containerize each service, and implement the orchestration, scheduling, and deployment of services through Ping An Cloud’s container service. It is applicable to developing complex applications, supports multi-team collaboration, and enables efficient, independent deployment, independent expansion and unified, efficient management.
-
Recommend to use with:
Elastic Compute Service
Elastic Load Balancing
Success Stories
Ping An Life Insurance
Ping An Life Insurance
The financial system is complex. In the Kubernetes cloud computing environment, the client, after creating a cluster in the cloud, develops the microservice system as needed and submits the version management environment. The service can be started immediately after the corresponding template is deployed and the cluster is chosen. It solved a series of problems such as microservice environment construction, configuration, deployment, upgrade, and maintenance.
Ping An Wanjia Medicare
Ping An Wanjia Medicare
By using Ping An Cloud’s container services, developers can finish deployment, upgrades, viewing logs, monitoring, etc. by simply interacting with the page, which greatly improves development efficiency, reduces demands on their operating container environments, and frees them from cumbersome operation & maintenance tasks.
Functionality
Cluster Management
- A collection of resources necessary for container running includes some cloud hosts with Docker installed. It builds a container deployment environment in an easy and convenient manner, and seamlessly connects to computing, storage, network and other resources of Ping An Cloud.
- It supports dynamic scaling of clusters, configuration upgrades and downgrades for nodes.
- Nodes within the cluster are managed and deployed across availability regions to ensure reliability of clusters.
- Nodes within the cluster have a variety of monitoring indicators, supporting user-defined cluster alert policy.
Service Management
- Rapid deployment: Use image version control to ensure consistent environments and enable rapid deployment and migration.
- Dynamic capacity expansion: Auto scaling, smooth upgrades, and business continuity to realize version updating.
- Automatic operation & maintenance: Monitor service events, monitor real-time data of containers, and support monitoring alert notifications to access services and instance information in a timely manner.
Image Management
- Distributed management: Support multi-region distributed image management to increase the speed of image pull and push.
- Continuous integration and continuous release: Support the entire process of automatic building from code repository to image repository, to realize a one-stop process from development to deployment.
Tariff and Pricing
There is no charge for container services. Users only need to pay for the resources used by containers (such as cloud host, hard disk and load balancing). For detailed pricing, please refer to the billing mode of the corresponding product.
Elastic Compute Service
(monthly price from)
￥90
/month
Elastic Block Storage
(monthly price from)
￥0.00025
/GB/month
Elastic Load Balancing
(On-demand)
￥0.025
/hour
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