International Business Machines Corporation

Kyndryl, Inc.

Vishal Anand

John P Easton

Gregory Richard Hintermeister

Ulrike Vauth

Ingo Averdunk

Michael David Williams

Zoe Clements

Karri Carlson-Neumann

Sham Vaidya

Reena Sandhir

Replicating a software cluster which includes control software and containers in another computing environment can include software operators which can be generated relating to modular functionalities of a control software cluster. The software operators are derived from analyzing the control software cluster. The software operators further being derived from analyzing code of the control software cluster including the containers, and from analyzing software configurations for the control software cluster. The generating of the software operators can include, at least in part, determining software configuration requirements for the control software cluster. The generating of the software operators including at least in part, creating a template for the control software cluster based on the determined software configuration requirements and the analysis of the another software computing environment. All or a portion of the software operators of the control software cluster can be replicated in the another software computing environment.

Modular decomposition and composition of container software management clusters in hybrid cloud

A plurality of containers can be configured for running applications associated to at least one node of a distributed computing environments. The containers of the plurality of containers includes integrated intelligence that provides an in memory state component that detects how container instances are running. A quorum synchronization component of the integrated intelligence can coordinate the activities of the containers. A first container can be initiated for running a first node application. The memory state component can determine if a topology exists in the plurality of containers that is running an existing application matching the first node application. The quorum synchronization component of the integrated intelligence can coordinate running of the first node application with the first container with the existing application.

Self orchestrated containers for cloud computing

In an approach to improve implementing program code modifications within a predetermined system embodiments simulate an impact of an implemented modification to a software code against one or more predetermined constraints using a target environment. Further, embodiments comparing a first executed simulation against a second executed simulation of the software code, wherein the second executed simulation comprises the implemented modifications and a current version of the software code. Additionally, embodiments, generate guidance for a user based on the comparison of the first and second executed simulations, wherein the generated guidance comprises positive and negative impacts of the implemented software code modifications regarding compliance with the one or more predetermined constraints, and output, by a user interface, the generated guidance to the user detailing the impact of the implemented modification.

Management and development of modifications within a source code

A computer-implemented method to schedule special containers using a multi-queue scheduler. The method includes receiving, by a scheduler, a first pod including a first container including a first queue, a second queue, an event handler, and an error handler. The method further includes obtaining a set of characteristics for the first pod and determining that the first pod is a special pod. The method includes adding the first pod to the first queue, wherein the first queue is a special queue and includes a special function. The method also includes initiating the special function. The method further includes assigning, based on one or more placement rules, the first pod to a first node of a plurality of nodes.

Container scheduler with multiple queues for special workloads

Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: receiving, by a manager node, from a plurality of compute nodes metrics data, the manager node and the plurality of compute nodes defining a first local cluster of a first computing environment, wherein nodes of the compute nodes defining the first local cluster have running thereon container based applications, wherein a first container based application runs on a first compute node of the plurality of compute nodes defining the first local cluster, and wherein a second compute node of the plurality of compute nodes defining the first local cluster runs a second container based application; wherein the manager node has received from an orchestrator availability data specifying a set of compute nodes available for hosting the first application.

Multi-cluster container orchestration

A system, computer program product, and method are presented for automatically executing chaos experiments on computing resources, applications, and services through automatically establishing and meeting core requirements for each chaos experiment. The method includes receiving a trigger signal configured to establish one or more condition s to execute one or more chaos experiments on at least a portion of one or more landing zones. The one or more chaos experiments are configured to operationally stress one or more of one or more infrastructure resources, one or more services, and one or more computing applications. The method also includes determining, automatically, the technical support coverage for the execution of the one or more chaos experiments. The method further includes executing, automatically, subject to the technical support coverage determination, the one or more chaos experiments.

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Dublin, Ireland

Vishal Anand