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IBM Introduces Multicloud Manager

IBM launched a new open technology designed to make it easier to manage, move and integrate apps across different cloud computing infrastructures. IBM's Multicloud Manager provides an operations console for companies as they increasingly incorporate public and private cloud capabilities with existing on-premises business systems.

According to a new report from IBM's Institute for Business Value, nearly all companies surveyed said they are using some form of cloud computing today, with 85 percent using more than one cloud environment. However, while the rush to cloud is significant, research from Ovum shows that 80 percent of mission-critical workloads and sensitive data are still running on on-premises business systems, held back by issues of performance and regulatory requirements.

To address this, IBM is introducing a new technology that helps enable companies to easily create harmonized, 'multicloud' systems, with increased visibility of business processes, governance and security. The solution is optimized on the IBM Cloud, but extends the ability of businesses to manage and integrate workloads on clouds from different providers such as Amazon, Red Hat and Microsoft.

"With its open source approach to managing data and apps across multiple clouds, the IBM Multicloud Manager will position companies to scale their many cloud investments and unleash the full business value of the cloud," said Arvind Krishna, SVP, IBM Hybrid Cloud. "In doing so, they will move beyond the productivity economics of renting computing power, to fully leveraging the cloud to invent new business processes and enter new markets."

IBM's new Multicloud Manager runs on the company's IBM Cloud Private platform which is based on Kubernetes container orchestration technology – an open-source approach for "wrapping" apps in containers thereby making them easier and cheaper to manage across different cloud environments – from on-premises systems to the public cloud. Last week IBM announced that hundreds of global organizations have turned to IBM Cloud Private to help transform their organizations.

Now, with Multicloud Manager, IBM is extending those capabilities to interconnect different clouds, even from different providers, creating unified systems designed for increased consistency, automation and predictability. At the heart of the new solution is a first of a kind dashboard interface for effectively managing thousands of Kubernetes applications and spanning huge volumes of data regardless of where in the organization they are located.

The new solution is expected to be a game changer for modernizing businesses around the world. For example, if a car rental company uses one cloud for its AI services, another for its bookings system and runs its financial processes on on-premises computers at offices around the world, IBM Multicloud Manager can span the company's multiple computing infrastructures enabling customers to book a car at increased speeds using the company's mobile app.

The features and benefits of IBM's new Multicloud Manager include:

- Increased visibility across clouds – operations and development teams get visibility of Kubernetes applications and components across different clouds and clusters via a single control pane;

- Improved governance and security– using the integrated compliance and rules engine, organizations can be sure that their Kubernetes applications support their enterprise compliance policies and security standards;

- Consistent application management – designed so that users can simplify IT and app operations management while increasing flexibility. They can also orchestrate and manage their Kubernetes environments with the click of a button.

IBM Multicloud Manager will be available in October 2018.

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IBM Introduces Multicloud Manager

IBM launched a new open technology designed to make it easier to manage, move and integrate apps across different cloud computing infrastructures. IBM's Multicloud Manager provides an operations console for companies as they increasingly incorporate public and private cloud capabilities with existing on-premises business systems.

According to a new report from IBM's Institute for Business Value, nearly all companies surveyed said they are using some form of cloud computing today, with 85 percent using more than one cloud environment. However, while the rush to cloud is significant, research from Ovum shows that 80 percent of mission-critical workloads and sensitive data are still running on on-premises business systems, held back by issues of performance and regulatory requirements.

To address this, IBM is introducing a new technology that helps enable companies to easily create harmonized, 'multicloud' systems, with increased visibility of business processes, governance and security. The solution is optimized on the IBM Cloud, but extends the ability of businesses to manage and integrate workloads on clouds from different providers such as Amazon, Red Hat and Microsoft.

"With its open source approach to managing data and apps across multiple clouds, the IBM Multicloud Manager will position companies to scale their many cloud investments and unleash the full business value of the cloud," said Arvind Krishna, SVP, IBM Hybrid Cloud. "In doing so, they will move beyond the productivity economics of renting computing power, to fully leveraging the cloud to invent new business processes and enter new markets."

IBM's new Multicloud Manager runs on the company's IBM Cloud Private platform which is based on Kubernetes container orchestration technology – an open-source approach for "wrapping" apps in containers thereby making them easier and cheaper to manage across different cloud environments – from on-premises systems to the public cloud. Last week IBM announced that hundreds of global organizations have turned to IBM Cloud Private to help transform their organizations.

Now, with Multicloud Manager, IBM is extending those capabilities to interconnect different clouds, even from different providers, creating unified systems designed for increased consistency, automation and predictability. At the heart of the new solution is a first of a kind dashboard interface for effectively managing thousands of Kubernetes applications and spanning huge volumes of data regardless of where in the organization they are located.

The new solution is expected to be a game changer for modernizing businesses around the world. For example, if a car rental company uses one cloud for its AI services, another for its bookings system and runs its financial processes on on-premises computers at offices around the world, IBM Multicloud Manager can span the company's multiple computing infrastructures enabling customers to book a car at increased speeds using the company's mobile app.

The features and benefits of IBM's new Multicloud Manager include:

- Increased visibility across clouds – operations and development teams get visibility of Kubernetes applications and components across different clouds and clusters via a single control pane;

- Improved governance and security– using the integrated compliance and rules engine, organizations can be sure that their Kubernetes applications support their enterprise compliance policies and security standards;

- Consistent application management – designed so that users can simplify IT and app operations management while increasing flexibility. They can also orchestrate and manage their Kubernetes environments with the click of a button.

IBM Multicloud Manager will be available in October 2018.

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

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