hybrid cloud

Hybrid cloud for accelerating discovery workflows

Hybrid cloud could ultimately enable a new era of discovery, using the best resources available at the right times, no matter the size or complexity of the workload, to maximize performance and speed while maintaining security.

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IBM AI helps to break down massive code to ease cloud migration

We use AI to automatically break down the overall application by representing application code as graphs. Our AI relies on Graph Representation Learning – a popular method in deep learning. Graphs are a natural representation for software and applications. We translated the application to a graph where the programs become nodes. Their relationships with other programs become edges and determine the boundary to separate the nodes of common business functionality.

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Mono2Micro AI speeds up app ‘refactoring’ before cloud move

To help the developers that update legacy applications, our team has created Mono2Micro (monolith-to-microservice) – an AI assistant that modernizes legacy applications to help move them to the cloud as microservices. Our tool simplifies and speeds up the often error-prone “application refactoring” process of partitioning and preserving the original semantics of the legacy, monolith applications.

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Using iter8 and Kiali to evolve your cloud applications while gaining insights into their behavior

IBM Research has partnered with Red Hat to bring iter8 into Kiali. Iter8 lets developers automate the progressive rollout of new microservice versions. From Kiali, developers can launch these rollouts interactively, watch their progress while iter8 shifts user traffic to the best microservice version, gain real-time insights into how competing versions (two or more) perform, and uncover trends on service metrics across versions.

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Hybrid clouds will rely on magnetic tape for decades to come

New IBM, Fujifilm prototype breaks world record, delivers record 27X more areal density than today’s tape drives

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Improving resource efficiency for Kubernetes clusters via load-aware scheduling

Unfortunately, there are no default scheduler plugins in Kubernetes to consider the actual load in clusters for scheduling. To achieve that goal, we developed a way to optimize resource allocation through load-aware scheduling and submitted our "Trimaran: Real Load Aware Scheduling" Kubernetes enhancement proposal, with the hope of soon merging this feature into the Kubernetes scheduler plugin.

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Novel approaches to cloud native ecosystem

At KubeCon this week: How to close cloud native security gaps, thus improving cloud native projects from the community at large.

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Leveraging AMD SEV in the IBM Hybrid Cloud

We are exploring how Virtual Machine encryption can be applied to the Red Hat OpenShift Container Platform (OCP) and to Kubernetes through the workload virtualization options provided by KubeVirt and Kata Containers.

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IBM Research virtual roundtable reveals AI’s role in hybrid cloud

Watch the replay of the virtual roundtable, “Talking in Code: The New Frontier for AI and Hybrid Cloud,” with researchers from IBM, Columbia University and North Carolina State University discussing how AI can simplify and streamline hybrid cloud environments as well as make them more secure for mission-critical workloads.

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Using SecDevOps to design and embed security and compliance into development workflows

IBM Research has initiated focused efforts called Code Risk Analyzer to bring security and compliance analytics to DevSecOps. Code Risk Analyzer is a new feature of IBM Cloud Continuous Delivery, a cloud service that helps provision toolchains, automate builds and tests, and control quality with analytics.

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How IBM Research Is Differentiating Its Hybrid Cloud Platform with AI

IBM Research is developing new ways to use AI to assure clients are moving their mission-critical workloads to a secure cloud environment and can manage those workloads across multiple clouds.

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IBM 5 in 5: Radically Accelerating the Process of Discovery will Enable Our Sustainable Future

This year’s IBM "5 in 5" predictions focus on accelerating the discovery of new materials to enable a more sustainable future. In line with the United Nation’s global call-to-action through its Sustainable Development Goals, IBM researchers are working to speed up the discovery of new materials that will address significant worldwide problems.

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