Red Hat, Inc.

International Business Machines Corporation

Matthew J Hicks

Michael P McGrath

Daniel McPherson

Thomas Wiest

Ritchard Leonard Schacher

Eduardus A T Merks

Clayton Palmer Coleman

Jhon Honce

William Henry

James Labocki

James Martin Jagielski

A mechanism for tracking applications on a node of a multi-tenant PaaS environment is disclosed. A method of the invention includes providing an agent of a server orchestration system on a multi-tenant node of a network-based application hosting system, wherein the node comprises a virtual machine (VM) of a cloud computing environment configured to host a plurality of Web application components of different owners, and maintaining, by the agent, a plurality of facts about the node. One of the facts is a number of source code management (SCM) software repositories on the node; each software repository containing at least one of the plurality of Web application components, which is determined by and updated by the agent to reflect the number of determined software repositories.

Tracking and utilizing facts about a node of a multi-tenant cloud hosting environment

A method includes instantiating a first web application for a first application owner on a virtual machine and instantiating a second web application for a second application owner. The second application owner is different than the first application owner. Instantiating the second web application includes determining that the second web application is associated with an attribute. The first web application is also associated with the attribute, and the attribute comprises an implementation related property of the first web application and the second web application. Instantiating the second web application also includes identifying the virtual machine as configured to host web applications having the attribute, responsive to identifying the virtual machine, instantiating the second web application on the virtual machine hosting the first web application. The second web application is prevented from accessing the first web application and the first web application is prevented from accessing the second web application.

Node selection for a new application in a multi-tenant cloud hosting environment

Implementations for policy-based application deployment and continuous best-fit placement across heterogeneous computing infrastructures are disclosed. A method of the disclosure includes determining that an application of a source application platform system triggered a metrics-based threshold of a plurality of metrics-based thresholds, determining, based on the metrics-based threshold that was triggered, a target application platform system to deploy the application, translating metadata of the application from a format of the source application platform system to a format of the target application platform system, and causing the application to be deployed at the target application platform system.

Policy-based application deployment to a target application platform system

A responsive layout based on behavioral intent in a multi-tenant PaaS system is disclosed. A method of the disclosure includes determining a profile of a user of a PaaS system, an application context for each application associated with the user and hosted by the PaaS system, and a task context of an access to the PaaS system by the user, providing indicators of the determined profile, the determined application context, and the determined task context to a browser application of the user, and providing HyperText Markup Language (HTML) and Cascading Style Sheets (CSS) files of the management console to the browser application, wherein the provided indicators are applied to the HTML and CSS files to generate a responsive layout, wherein the indicators are associated with one or more variants of the HTML and CSS files that provide the responsive layout.

Responsive layout based on behavioral intent in a multi-tenant platform-as-a-service (PaaS) system

A mechanism for node selection for a new application in a multi-tenant cloud hosting environment is disclosed. A method of the invention includes receiving a request to host a software application on one of a plurality of nodes of a cloud computing infrastructure, each node configured to host multiple software applications. A set of available nodes from the plurality of nodes can be identified on which the software application can be hosted and the capacity of each identified node to host additional software applications can be determined. Then, a node is selected to host the software application using the determined capacities.

A mechanism for an interface between a server orchestration system and a messaging system is disclosed. In one embodiment a message being broadcast from a server orchestration system to a plurality of nodes that comprise a node layer of a platform as a service (PaaS) application hosting infrastructure is intercepted and introspected to extract an identifier of the first node of a plurality of nodes. Then, a targeted message compatible with a messaging system is generated, the targeted message including the identifier of the first node. The targeted message is then sent to the messaging system to be routed to the first node.

Communication between a server orchestration system and a messaging system

Implementations of the disclosure provide for controlling capacity in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system. A method includes obtaining, by a resource control module executed by a processing device, an active capacity metric of each node in a multi-tenant Platform-as-a-Service (PaaS) system, the active capacity metric determined in view of a number of containers that are currently executing in the node and a maximum number of active containers allowed to execute in the node, comparing, by the resource control module, the active capacity metric of the each node to an active capacity threshold associated with the each node, and when the active capacity metric exceeds the active capacity threshold in all of the nodes in a district of the multi-tenant PaaS system and when a maximum actual capacity of containers in the district is not exceeded, adding a new node to the district.

Controlling capacity in a multi-tenant platform-as-a-service environment in a cloud computing system

A mechanism for deployment optimization in a multi-tenant Platform-as-a-Service (PaaS) system is disclosed. A method of the disclosure includes receiving, at a source code management (SCM) repository maintained by a node executing on a computing device, updated application code of an application executed on the node, wherein the node is provided by a multi-tenant Platform-as-a-Service (PaaS) system, providing, by the node, the updated application code to one or more cartridge instances that implement framework of the application, determining, by each of the one or more cartridge instances, that a marker file is present in the updated application code, the marker file indicating that hot deployment functionality is to be implemented for the application, and implementing, by each of the one or more cartridge instances using hot deployment functionality that is specific to the cartridge instance, code changes in the updated application code without a restart of the application.

Deployment optimization for high availability in a multi-tenant platform-as-a-service (PaaS) system

Implementations provide for scaling of application resources in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system. A method of the disclosure includes monitoring a load measurement of containers associated with an application executed on virtual machines (VMs) in a multi-tenant PaaS system, comparing the load measurement with a criteria, and when the load measurement exceeds the criteria, causing resources to be added to execute functionality of the application in the VMs of the multi-tenant PaaS system.

Scaling of application resources in a multi-tenant platform-as-a-service environment in a cloud computing system

Implementations for providing cartridges in a multi-tenant PaaS system of a cloud computing environment is disclosed. An example method includes maintaining a repository of a plurality of packages that provide functionality for multi-tenant applications executed by a node, each package of the plurality of packages comprising a software and a configuration information specifying a plurality of hooks, receiving a request to configure a first package from the plurality of packages, wherein the first package is to provide functionality for one of the multi-tenant applications, establishing a container to provide process space for the functionality of the first package, calling a configure hook from the plurality of hooks specified in the configuration information of the first package, and in response to calling the configure hook, embedding an instance of the software of the first package in the container, the instance of the software of the first package copied from the repository.

Multi-tenant platform-as-a-service (PaaS) system implemented in a cloud computing environment

A mechanism for idling an application in a multi-tenant cloud hosting environment is disclosed. A method of the invention includes detecting, by a reverse proxy of a node of a cloud computing architecture, a lack of minimum usage of an application hosted on the node, the application being one of a plurality of applications being hosted on the node and instructing the node to shut down the application in response. The reverse proxy is then; and reconfigured to point to a restarter instead of the application, wherein the restarter restarts the application in response to detecting an access to the application.

Application idling in a multi-tenant cloud-based application hosting environment

A multi-tier platform-as-a-service (PaaS) deployment reduced to a single-tier architecture for development is disclosed. A method of the disclosure includes mapping multiple tiers of a PaaS system to a consolidated environment executable on a virtual machine (VM), wherein networking stacks of the VM maintain a separation between the multiple tiers in the consolidated environment, and providing the consolidated environment as a development instance of the PaaS system for execution on the VM, the consolidated environment facilitating testing of code changes to the PaaS system.

Multi-tier platform-as-a-service deployment reduced to single-tier architecture for development

A owner command to an application hosted by a platform as a service (PaaS) system can be performed, in one embodiment, by receiving the command from the authenticated owner at a first resource pool containing a first application component of the application, wherein the first node hosts a plurality of resource pools each containing application components belonging to different application owners. A second resource pool associated with the application is then identified, the second resource pool being hosted on a second node and containing a second application component of the application. The, a command implementation sequence defining the implementation of the received command over multiple application components is executed by performing a first action on the first application component on the first node and performing a second action on the second application component on the second node.

Owner command execution in a multi-tenant cloud hosting environment

A mechanism for application partitioning in a multi-tenant PaaS environment in a cloud computing system is disclosed. A method of embodiments includes receiving, by a virtual machine (VM), a request to initialize a container on the VM, the container comprising a resource-constrained space of the VM to execute functionality of an application of a multi-tenant PaaS system. The method also includes assigning a user identification (UID) and non-volatile resources to the container, wherein the UID and non-volatile resources are part of a subset of UIDs and a subset of non-volatile resources allotted to the VM from a range of UIDs and a range of non-volatile resources associated with a district of the VM, and wherein other VMs in the district are not allotted the same subset of UIDs from the range of UIDs or the same subset of non-volatile resources from the range of non-volatile resources.

Application partitioning in a multi-tenant platform-as-a-service environment in a cloud computing system

A mechanism for automatic scaling of application resources in a multi-tenant Platform-as-a-Service (PaaS) environment in a cloud computing system is disclosed. A method includes monitoring, by a load balancer executing on a computing device, an overall load measurement of containers associated with an application executed on virtual machines (VMs) in a multi-tenant Platform-as-a-Service (PaaS) system, wherein the overall load measurement is a summation of individual current loads at the containers, comparing, by the load balancer, the overall load measurement to an overall load threshold for the containers, and when the overall load measurement exceeds the overall load threshold, causing resources to be added to execute functionality of the application in the VMs of the multi-tenant PaaS system.

Growing community of inventors

Morrisville, NC, United States of America

Matthew J Hicks