Ca, Inc.

Computer Associates Think, Inc.

Cassatt Corporation

Ca Technologies, Inc.

Mark W Emeis

James D Engquist

Jerry R Jackson

Dann M Church

Prabodh Joshi

Craig Andrew Vosburgh

Randall L Murrish

Donald Mark Allen

Bob Hendrich

Robert C Hendrich

Doreen E Collins

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 one embodiment, configuration information for a microservices application is obtained, the microservices application comprising a plurality of microservice containers, and the configuration information comprising version information for each of the plurality of microservice containers. A graphical representation of the microservices application is displayed, wherein the graphical representation of the microservices application comprises a representation of each of the plurality of microservice containers. It is determined, based on the version information, whether each of the plurality of microservice containers is updated or outdated. A graphical indication of an updated microservice container is displayed; a graphical indication of an outdated microservice container is displayed; and a graphical indication of an extent to which the outdated microservice container is out-of-date is displayed.

Microservices version state visualization

The embodiment of this disclosure may include a rule engine that adds a plurality of objects into a working memory, and processes the plurality of objects through a plurality of rules stored in a rule repository. Then, the rule engine may create a rule network comprising a root node and a child node based on the plurality of rules, and associate the root node with a predetermined list of object references. The rule engine may build a multi-object sub-token based on the plurality of objects that satisfy the predetermined list of object references. Then, the rule engine may pass the multi-object sub-token from the root node to the child node.

Leveraging unique object references to enhance performance of RETE-based rule engines

Systems and methods include receiving notification of an anomaly in a particular component within a data center environment. Such systems and methods include receiving configuration information identifying positions of tags disposed proximate to and representing respective infrastructure components within the data center environment. Such systems and methods include detecting a first tag representing a first infrastructure component and, in response thereto, determining, using the configuration information, a first positional relationship between the first tag and a second tag representing the particular component. Such systems and methods include determining a second positional relationship between the mobile device and the particular component based on the first positional relationship and providing, based on the second positional relationship, directional guidance from the first infrastructure component to the particular component. Such systems and methods include detecting, by the sensor, the second tag and, in response thereto, providing information identifying the particular component.

Using augmented reality to assist data center operators

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

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

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 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. 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. A pluggable, application-specific application matrix is selected and installed within the control node. The application matrix contains a logical definition of the applications, and parameters for controlling the deployment of the applications within the distributed computing system.

Autonomic control of a distributed computing system using an application matrix to control application deployment

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. 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. A pluggable, application-specific application governor is selected and installed within the control node to provide an application-independent interface through which the rule engines interact to control the deployment, execution and monitoring of the applications within the distributed computing system.

Growing community of inventors

Monument, CO, United States of America

Mark W Emeis