Bladelogic, Inc.

Liquibase Inc.

Datical, Inc.

Robert E Reeves

Peter James Pickerill

Daniel Preston Nelson

Charles Steven Suehs

Daniel P Nelson

Mohamed Kasswran

Embodiments provide systems, methods, and computer program products that utilize artificial intelligence/machine learning to process database change data and correlated performance data to predict the impact of database changes and generate rules with respect to database changes to prevent undesired behavior or promote increased performance.

Artificial intelligence based rule generation for database change deployment

Database servers may maintain a database according to a database schema. A database change management system can include a profile service configured to collect database profile information and a simulation service configured to receive a set of changes to be simulated for the database and simulate an application of the set of changes to the database. A forecast service can be configured to receive a result of a simulation from the simulation service and database profile information and generate a report indicative of a prediction of a failure or success of an implementation of the set of changes.

System, method and computer program product for database change management

One example system includes an export engine to generate an environment agnostic configuration file and an environment properties data structure based on a server program executing in the environment. The environment-agnostic configuration file includes representations of a set of environment dependent attributes from the set of configuration information, each representation for an environment dependent attribute including at least one token that replaces a value of the attribute in the representation, and representations of members of a set of environment independent attributes from the set of configuration information that are equivalent between two different environments. The environment properties data structure has, for each environment, a value that corresponds to the at least one token. An example system may compare previously generated files with current files to identify differences. Differences that represent malicious changes can trigger restoration of the configuration using the previously generated files.

System and method for installing, updating and uninstalling applications

One example system includes an export engine to generate an installation atomic for a source program based on a source environment. The installation atomic can include an environment agnostic configuration file, an environment properties data structure, and compiled binary artifacts created based on the server program. The environment-agnostic configuration file includes representations of a set of environment dependent attributes from the set of configuration information, each representation for an environment dependent attribute including at least one token that replaces a value of the attribute in the representation, and representations of members of a set of environment independent attributes from the set of configuration information that are equivalent between the source environment and target environments. The environment properties data structure has, for each of a plurality of target environments, a value that corresponds to the at least one token.

Embodiments described herein provide systems and methods for installing or otherwise supporting applications in a cloud environment and systems and methods for provisioning a cloud environment. One embodiment includes abstracting a set of configuration information associated with a first environment into a set of environment independent attributes and a set of environment dependent attributes. A second environment may then be configured using the mapped environment independent attributes and the values for the set of environment dependent attributes. If the second environment is a cloud environment, embodiments described herein can include provisioning the cloud environment by mapping hardware and/or software characteristics of the first environment and/or user selected characteristics to abstractions of the characteristics and sending API calls to a cloud environment interface based on the abstractions of the characteristics to provision a selected target environment in the cloud environment.

System and method for cloud provisioning and application deployment

One method includes mapping a set of environment independent attributes and tokenizing a set of environment dependent attributes in a user selected format. Optionally, the tokens may be replaced with values for the environment dependent attributes. The mapped attributes and the values for the environment dependent attributes may then be used to configure an environment(s). In one embodiment, the configuration is a transaction in a J2EE environment and the format is XML. Additionally, the transaction may tolerate the presence/absence of attributes which are to be installed/deleted. Moreover, the method may support uninstalling applications, change logging, version skipping, and generating prospective change and state reports. The mapping may be from an operational or development server. Likewise, the configuration can occur to an operational or development server. The sets of attributes may be identified by, for example, using predefined rules.

Growing community of inventors

Austin, TX, United States of America

Robert E Reeves