Hewlett Packard Enterprise Development LP

Hardik Dhirendra Parekh

Sonu Sudhakaran

Pradeep Kumar Achi Vasudevan

Kiran Kumar Vaddi

Travis Scott Tripp

Venkateswaran Tharuvai Sundaram

Om Kumar

Surya NarayanaRaju Penmetcha

Jaivish Kothari

Santosh Nagaraj

Akash Vinodchandra Patel

In an example implementation consistent with the features disclosed herein, a tenant service in an internal network is made accessible to clients in an external network through a load balancer service. A request is transmitted by a tenant computing cluster in response to discovering creation of the tenant service at the tenant computing cluster. The request is received by a gateway computing cluster. The load balancer service is deployed at the gateway computing cluster in response to receiving the request. An external IP address for the external network is assigned to the load balancer service. The load balancer service is configured to forward client requests received at the external IP address to the tenant service. The external IP address is then sent to the tenant computing cluster.

Computing cluster load balancer

In an example implementation consistent with the features disclosed herein, high availability of a stateful application is achieved by orchestrating multiple computing clusters. A stateful application is deployed at a first application operator and a second application operator of a first computing cluster and a second computing cluster, respectively. The first application operator includes a first control loop that changes the first computing cluster based on first resources of the first computing cluster. The second application operator includes a second control loop that changes the second computing cluster based on second resources of the second computing cluster. Synchronization of the first resources with the second resources is configured, such as via an object storage service. The first application operator and the second application operator are scaled to, respectively, nonzero and zero. A load balancer is configured to route requests to the first computing cluster.

High availability computing clusters

Examples described herein relate to an authentication management system and a method for managing authentication of a user between an enterprise-level authentication protocol and a cloud-native authentication protocol. The authentication management system may receive an authentication request from an application hosted on a private on-premise network to authenticate a user using the enterprise-level authentication protocol. The authentication request is generated by the application upon receiving an access request from the user via a software as-a-service (SaaS) cloud platform in a cloud-native authentication protocol. Further, the authentication management system may generate an authentication response compliant with the enterprise-level authentication protocol based on an authentication reply that is formatted in compliance to the cloud-native authentication protocol and received from a cloud-native identity and authentication management system based on the authentication request. The authentication management system may then send the authentication response to the application.

Management of user authentication between enterprise-level authentication protocol and cloud-native authentication protocol

Examples described herein relate to a system and method for deploying and managing services in tenant clusters using a management cluster. The management cluster includes an integration service in communication with a service controller. The integration service communicates with a service endpoint using privileged credentials for receiving tenant cluster-specific configuration information. The integration service generates access credentials for the new tenant cluster to communicate with the service provider. The integration service provides tenant cluster-specific configuration information and access credentials to the service controller for the deployment of the service in the new tenant cluster. The service controller deploys the service at the new tenant cluster and manages the lifecycle of the service at the new tenant cluster.

Management cluster with integration service for deploying and managing a service in tenant clusters

In some examples, container management can include a non-transitory computer readable medium having instructions, the instructions executable by a processing resource to receive a deployment specification for operating the application within the container management system, determine whether the deployment specification includes a specified workload for scheduling the application, determine, in response to the deployment specification not including a specified workload for scheduling the application, a workload ratio associated with the application, determine a schedule in response to the determined workload ratio, and schedule the application across a plurality of nodes within the container management system based on the determined schedule.

Container management

A method for managing container usage in a computing system, includes: gathering a plurality of infrastructure costs associated with a container; invoking an orchestration tool in a containerization system to determine a plurality of workload costs associated with the container; determining a container usage cost from the gathered infrastructure costs and the determined workload costs; and managing the container usage in the computing system based on the determined container usage cost. In some instances, the method is implemented in the functionality of a cost analyzer resident on a computing apparatus. In other instances, the method may be implemented in a computing system in which a cost analyzer operates.

Determining the cost of container-based workloads

Examples described relate to secure communication between services hosted on a private cloud and a public cloud. In an example, an agent on a private cloud may poll a secure server on a public cloud to determine whether the secure server includes a request for a service hosted on the private cloud. The request may be made by a service hosted on the public cloud. In response to a determination that the secure server includes the request for the service hosted on the private cloud the agent may retrieve the request from the secure server on the public cloud. The request may be executed on the private cloud, and a response may be generated. The agent may provide the response to the secure server on the public cloud. The response may be shared with the service hosted on the public cloud by the secure server.

Secure communication between a service hosted on a private cloud and a service hosted on a public cloud

A container management system having a first cluster that includes a first service for generating an operation and a second cluster that includes a second service for generating an operation, the second cluster located remotely from the first cluster. A master proxy adjusts a request from the first cluster to access the second service from the second cluster, routes a transmission of the adjusted request to the second cluster and adjusts a response to the adjusted request from the second cluster to the first cluster. The first cluster uses the response to generate a cluster operation based on the first service and the second service.

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Bengaluru, India

Hardik Dhirendra Parekh