Hewlett Packard Enterprise Development LP

Jayashree Sundarachar Beltur

Mark Perreira

Jeffrey Joel Walls

Bryan P Murray

Vijay Misra

Haris Rasheed Farooqui

Examples described herein relate to providing pool-based automated lifecycle management of infrastructure via abstracted resources. According to an example, a consumption model is maintained in which heterogeneous infrastructure is represented in a generalized form as logical resource objects, including nodes and pools of the nodes. The nodes have respective node roles indicative of specific functionality the nodes are operable to provide to a workload based on the respective attributes/qualities of the nodes. A state model is maintained through which the logical resource objects are transitioned among states and responsive to which notifications are provided to an application orchestration tool associated with the workload. Interactions by the application orchestration tool with heterogeneous infrastructure utilized by the workload are abstracted by providing an API through which requests to manage a lifecycle of the heterogeneous infrastructure are expressed with reference to the logical resource objects.

Lifecycle management for workloads on heterogeneous infrastructure

Examples herein relate to identifying a soft failure at member within a cluster dedicated to a microservice. Examples disclose identifying a statistical evaluation for each member within the cluster. Based on the statistical evaluation, identifying a soft failure among one of multiple members within the cluster. In response to the identification of the soft failure at one of the members within the cluster, performing an action.

Identification of a soft failure at a member

Examples relate to cloud models based on network definition data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise network definition data that describes a first server node to be included in the first cloud infrastructure and a first set of network interfaces to be enumerated on a bus of the first server node. Some examples may further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples may further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

Cloud models based on network definition data

Examples disclosed herein relate to cloud images. The examples enable generating a first cloud image to configure a first node to serve a first role in a cloud infrastructure. The first cloud image comprising a first set of packages may be stored in a first local repository of the first cloud image. The examples further enable generating a second cloud image to configure a second node to serve a second role in the cloud infrastructure where the second cloud image comprises a second set of packages stored in a second local repository of the second cloud image. The examples further enable causing the first cloud image to be deployed to the first node in the cloud infrastructure and causing the second cloud image to be deployed to the second node in the cloud infrastructure.

Cloud images

Examples relate to cloud models based on logical network interface data. Some examples disclosed herein may enable obtaining first cloud definition data that describes a first cloud infrastructure. The first cloud definition data may comprise logical network interface data that describes a first set of network interfaces to be bonded to form a first logical network interface for the first cloud infrastructure. Some examples further enable generating a first cloud model based on the first cloud definition data. The first cloud model may comprise first cloud configuration data that, when executed, causes the first cloud infrastructure to be deployed. Some examples further enable storing a first checkpoint image of the first cloud model. The first checkpoint image may comprise at least a portion of the first cloud configuration data.

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Sunnyvale, CA, United States of America

Jayashree Sundarachar Beltur