International Business Machines Corporation

Shajeer K Mohammed

Sudheesh S Kairali

Prasad Manikarao Deshpande

Raghuram Krishnapuram

Rema Ananthanarayanan

Hariharan Krishna

Vijil Enara Chenthamarakshan

Priya Kannan

Vinatha Chaturvedi

Ankur Tagra

Sandeep R Patil

Yu-Cheng Hsu

Sridhar R Muppidi

Abhishek Seth

Piyush Chaudhary

Smita J Raut

Kavitha Subramaniam

Abhinav Gupta

A computer-implemented method, according to one embodiment, includes: determining, for each pair of HCI systems where each pair includes a first HCI system coupled to another HCI system, a federation relationship setting that corresponds to each pair. The federation relationship settings are used to control a flow of data, as well as to control a flow of workload scheduling, between the first HCI system and the other HCI systems in the respective pairs. Moreover, determining a federation relationship setting that corresponds to a pair includes: determining whether a risk score which corresponds to the pair is outside a predetermined range. In response to determining that the risk score is outside the predetermined range, a restrictive federation relationship setting is assigned to the pair, and in response to determining that the risk score is not outside the predetermined range, a permissive federation relationship setting is assigned to the pair.

Utilizing federation relationship settings among different systems

An approach is provided that receives a request to write an entry to a database. Database caches are then checked for a portion of the entry, such as a portion that includes a primary key. Based on the checking, the approach determines whether to write the entry to the database. In response to the determination being that the entry cannot be written to the database, an error is returned with the error being returned without accessing the database, only the caches. On the other hand, the entry is written to the database in response to the determination being that the entry can be written to the database.

Pre-optimized writes to a database based on intelligence gathered from read cache

Disclosed embodiments provide features for the architecture of microservices. A global context cache is created for a microservice environment that is accessible from multiple deployed microservices. Data from various customers/applications can be aggregated to establish a determination of when a read or write access would fail due to permissions, and/or other condition such as existence or non-existence of certain data. In such situations, an error can be returned from the global context cache in much less time than if the access request propagated throughout the computer network to the persistent storage. In this way, disclosed embodiments reduce downtime and save money for organizations, and increase the efficiency of utilization of computer resources.

Microservice system with global context cache

A method for migrating an application includes representing the application as a vector including metadata about the application and at least one customer constraint, scoring a deviation of data consistency for the application related to each of a plurality of clouds, including a cloud in which the application is currently deployed and a plurality of potential target clouds, selecting one of the potential target clouds based on the scoring, wherein the selected cloud has an improved score over the cloud in which the application is current deployed, and migrating the application to the selected cloud.

Optimize migration of cloud native applications in a mutli-cloud environment

Dynamically enforcing access control policies unique to respective users in a multi-cluster container orchestration environment is provided. Resource-permission-role mappings are generated for users in the multi-cluster container orchestration environment based on preset access control criteria. Dynamic access control criteria are learned from the multi-cluster container orchestration environment over time. The resource-permission-role mappings for the users in the multi-cluster container orchestration environment are updated based on the dynamic access control criteria learned from the multi-cluster container orchestration environment over time. The resource-permission-role mappings are enforced to respective users in the multi-cluster container orchestration environment in response to receiving corresponding user resource access requests.

Cognitive access control policy management in a multi-cluster container orchestration environment

Embodiments are directed to a system, computer program product, and method for application of cognitive processing to a communication, and selectively transmitting the communication based on the cognitive processing. Natural language understanding (NLU) decomposes the communication to identify content and keywords. A dictionary determined to be contextually related to the communication is identified to support and enable a multi-dimensional analysis of the communication content. The communication is subject to dynamic filtering with support of the dictionary and dictionary content, and the dictionary is subject to a selective amendment based on the dynamic processing. A response is generated from the filtering, and the response is subject to selective transmission.

Cognitive analysis and dictionary management

Embodiments are directed to a system, computer program product, and method for application of cognitive processing to a communication, and selectively transmitting the communication based on the cognitive processing. Natural language understanding (NLU) decomposes the communication to identify content and keywords. A dictionary determined to be contextually related to the communication is identified to support and enable a multi-dimensional analysis of the communication content. The communication is subject to dynamic filtering with support of the dictionary and dictionary content. A response is generated from the filtering, and is subject to selective transmission.

Cognitive analysis and content filtering

Methods and arrangements for automatically finding the dependency of a software product on other software products or components. From an install image or directory, a signature is found by deriving the same from a directory structure of the software. Further, a directory tree structure is built and an approximate sub-tree matching algorithm is applied to find commonalities across software products.

Mining dependencies from disk images

Methods and arrangements for automatically finding the dependency of a software product on other software products or components. From an install image or directory, a signature is found by deriving the same from a directory structure of the software. Further, a directory tree structure is built and an approximate sub-tree matching algorithm is applied to find commonalties across software products.

Product data pertaining to a plurality of products is gathered from a plurality of sources. Dependency information for the plurality of products is extracted from the product data. The dependency information is analyzed to determine dependencies for each product of the plurality of products. The dependencies for each product of the plurality of products are displayed to a user.

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Bengaluru, India

Shajeer K Mohammed