Ca, Inc.

Computer Associates Think, Inc.

Sun Microsystems, Inc.

Ca Technologies, Inc.

Cassatt Corporation

James D Engquist

Jerry R Jackson

Mark W Emeis

Dann M Church

Prabodh Joshi

Craig A Lindley

Sanjay R Radia

Robert A Gingell, Jr

David A Henseler

Craig Andrew Vosburgh

Doreen E Collins

Randall L Murrish

Michael John Lamb

Donald Mark Allen

David L Resch

Bob Hendrich

Brian Berliner

Clayton D Andreasen

Jonathan D Nordby

Johnathan D Nordby

Brian C Forney

Provided is a process, including: obtaining a composition record defining at least one service of a multi-container application; selecting a plurality of infrastructure or application performance monitoring agents based on the composition record defining the multi-container application; causing the selected agents to be deployed on one or more computing devices executing the multi-container application; receiving metrics or events from the agents indicative of performance of at least part of the multi-container application or at least some of the one or more computing devices executing the multi-container application; and causing an indication of the received metrics or events to be presented.

Introspection driven monitoring of multi-container applications

Provided is a method for securing network traffic flow in a multi-service containerized application, including: obtaining, with one or more processors, a composition record defining a multi-service containerized application; analyzing, with one or more processors, the composition record to look for one or both of network traffic patterns and network traffic flow; adding, with one or more processors, to the composition record a configured firewall container definition of a network traffic enforcement container that upon execution of the multi-service containerized application is communicatively coupled between a first container and a second container of the multi-service containerized application, wherein the first container and the second container are configured to communicate with each other across a first virtualized network; and converting, with one or more processors, the first virtualized network between the first container and the second container into a second virtualized network and a third virtualized network.

Systems and methods for securing network traffic flow in a multi-service containerized application

Provided is a process configured to convert a multi-container application into a monolithic application, the process including: obtaining a multi-container application; converting the multi-container application into a monolithic application; forming an installation package comprising the monolithic application; and storing the installation package in memory.

Composing monolithic applications based on multi-container applications

Provided is a method for a method of transforming service definitions in a multi-service containerized application, including: receiving input, with one or more processors, relating to creation and laying out of a plurality of icons on a canvas, wherein the plurality of icons represent a plurality of containers of a multi-service containerized application; receiving input, with one or more processors, relating to at least one pair of the plurality of containers being communicatively coupled with each other, wherein a visual representation of the coupling of the containers is displayed on the canvas in association with corresponding icons; and saving, with one or more processors, the multi-service containerized application with an assigned name to a catalog, wherein the containers are service components of the multi-service containerized application, and wherein the containers provide isolated user space instances on one or more kernels.

Systems and methods for transforming service definitions in a multi-service containerized application

In general, the techniques of this invention are directed to autonomic management of autonomic management systems. In particular, the embodiments of this invention use a measure, analyze, and respond model to autonomically manage one or more autonomic management systems. By understanding specific state information of these autonomic management systems, embodiments of the invention may achieve target performance for the autonomic management systems through operations monitoring, analyzing current system state against target state, and modifying the configurations or resources of the autonomic management systems.

Autonomic management of autonomous management systems

The invention is directed to techniques of extensible power control for an autonomically controlled distributed computing system. In particular, control nodes of the distributed computing system utilize software power control modules to communicate with hardware power controllers within the distributed computing system. The power control modules are discrete software units that may be easily deployed and un-deployed while software on the control node is executing. Further, each power control module corresponds to one or more firmware versions of one or more types of hardware power controller. The power control modules are each implementations of a software interface common to every power control module. Because the power control modules share a common interface, the software on the control node that autonomically controls the distributed computing environment does not need to consider differences among types of hardware power controllers and versions of firmware installed on the hardware power controllers.

Extensible power control for an autonomically controlled distributed computing system

In general, this disclosure describes techniques of managing resources in a service-oriented distributed computing system. As described in this disclosure, one or more control nodes provide for the efficient and automated allocation and management of resources within the distributed computing system. In order to provide automated allocation and management of computing functions and resources, a control node uses a set of governors. This set of governors includes a set of service governors to govern services used in the distributed computing system. The set of governors also includes a set of resource governors that govern individual resources of the services in the distributed computing system. The service governors and the resource governors may be implemented using finite state machines.

Autonomic control of a distributed computing system using dynamically assembled resource chains

Autonomic control of a distributed computing system using finite state machines

A distributed computing system conforms to a multi-level, hierarchical organizational model. One or more control nodes provide for the efficient and automated allocation and management of computing functions and resources within the distributed computing system in accordance with the organization model. The model includes four distinct levels: fabric, domains, tiers and nodes that provide for the logical abstraction and containment of the physical components as well as system and service application software of the enterprise. A user, such as a system administrator, interacts with the control nodes to logically define the hierarchical organization of distributed computing system. The control nodes are responsible for all levels of management in accordance with the model, including fabric management, domain creation, tier creation and node allocation and deployment.

Distributed computing system having hierarchical organization

In general, the techniques of this invention are directed to determining whether a component failure in a distributed computing system is genuine. In particular, embodiments of this invention analyze monitoring data from other application nodes in a distributed computing system to determine whether the component failure is genuine. If the component failure is not genuine, the embodiments may adjust a fault tolerance parameter that caused the component failure to be perceived.

Autonomous system state tolerance adjustment for autonomous management systems

Automatically configuring a distributed computing system according to a hierarchical model

A distributed computing system conforms to a multi-level, hierarchical organizational model. One or more control nodes provide for the efficient and automated allocation and management of computing functions and resources within the distributed computing system in accordance with the organization model. The model includes four distinct levels: fabric, domains, tiers and nodes that provide for the logical abstraction and containment of the physical components as well as system and service application software of the enterprise. A user, such as a system administrator, interacts with the control nodes to logically define the hierarchical organization of distributed computing system. The control node includes an automation subsystem having one or more rule engines that provide autonomic control of the application nodes in accordance with a set of one or more rules.

Autonomic control of a distributed computing system in accordance with a hierarchical model

A distributed computing system contains one or more application nodes. One or more control nodes provide for the efficient and automated allocation and management of computing functions and resources within the distributed computing system. The control node includes an automation subsystem that provides autonomic power control for the application nodes, regardless of which vendor manufactured the application nodes. For power controllers not specifically supported by the distributed computing system, a universal power controller responds to power down instructions by causing a targeted application node to execute an idle software image and reports that the application node has been successfully powered down.

Growing community of inventors

Colorado Springs, CO, United States of America

James D Engquist