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Virtual Instruments Introduces Cloud Migration Readiness Service

Virtual Instruments introduced the Cloud Migration Readiness (CMR) service to help enterprises intelligently move to the cloud.

The new CMR service provides enterprises with vital insights into the workload behavior of applications targeted for cloud migration.

Customers face critical questions related to cost and performance before initiating their migrations, and prior to the introduction of the CMR service, they were unable to confidently answer these questions.

With the CMR service, enterprises can:

- De-risk their upcoming cloud migrations

- Validate the suitability of the targeted applications based on their on-premises performance SLAs

- Understand application dependencies

- Preserve performance in the cloud

- Compare and contrast estimated costs of various cloud platforms

By combining workload discovery, dependency mapping and workload profiling, the CMR service simplifies the decision-making process and reduces the time to migrate enterprises’ large number of diverse workloads. The CMR service enables enterprises to simulate and validate cloud workload performance before migrating the workloads and determine if migrated workloads are performing adequately – as well as the steps to take if they aren’t. The CMR service includes the ability to select the optimal CPU, memory, and network and storage configuration for each migrated workload using simulated workloads.

“Enterprises are increasingly enamored by the business benefits offered by the cloud, but many of them don’t make the move due to fears their critical apps will underperform once taken off-premises,” said Torsten Volk, Managing Research Director, Enterprise Management Associates. “The insights delivered by Virtual Instruments’ new CMR service will help enterprises determine whether cloud migration makes sense for their installed applications and which cloud offering is the most cost-effective. As a result, Virtual Instruments is well-positioned to help their enterprise customers reap the benefits of the cloud without exposing their businesses to the inherent risks.”

To successfully reduce cloud migration complexity, right-size cloud configurations, and validate cloud performance, the CMR service defines four distinct phases:

- Discovery – Discover application workload characteristics and identify dependencies between installed compute, networking and storage elements.

- Profiling – Distill hundreds or thousands of workloads into a small set of representative synthetic workloads that accurately characterize performance.

- Playback – Accurately play back representative synthetic workloads in the cloud to select cost-optimal configurations and placements – without compromising workload performance.

- Monitor – Monitor actual workloads post migration to the cloud to identify any unforeseen performance or capacity issues.

“Considering the potential cost and time savings at hand, enterprises are under significant pressure to intelligently move their applications to the cloud – but doing so without adequate planning and analysis can be more costly than staying on-premises. Understanding which workloads can be successfully migrated to the cloud both from a performance and cost perspective is a critical customer need,” said Rick Haggart, SVP of Professional Services at Virtual Instruments. “With the new CMR service, enterprises gain tremendous insight into the performance and behavior of their applications before they migrate to the cloud. By adding this crucial element to their cloud migration strategy, enterprises can cost-effectively embrace the cloud to advance their digital transformation initiatives.”

Virtual Instruments’ Cloud Migration Readiness service is available now.

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Virtual Instruments Introduces Cloud Migration Readiness Service

Virtual Instruments introduced the Cloud Migration Readiness (CMR) service to help enterprises intelligently move to the cloud.

The new CMR service provides enterprises with vital insights into the workload behavior of applications targeted for cloud migration.

Customers face critical questions related to cost and performance before initiating their migrations, and prior to the introduction of the CMR service, they were unable to confidently answer these questions.

With the CMR service, enterprises can:

- De-risk their upcoming cloud migrations

- Validate the suitability of the targeted applications based on their on-premises performance SLAs

- Understand application dependencies

- Preserve performance in the cloud

- Compare and contrast estimated costs of various cloud platforms

By combining workload discovery, dependency mapping and workload profiling, the CMR service simplifies the decision-making process and reduces the time to migrate enterprises’ large number of diverse workloads. The CMR service enables enterprises to simulate and validate cloud workload performance before migrating the workloads and determine if migrated workloads are performing adequately – as well as the steps to take if they aren’t. The CMR service includes the ability to select the optimal CPU, memory, and network and storage configuration for each migrated workload using simulated workloads.

“Enterprises are increasingly enamored by the business benefits offered by the cloud, but many of them don’t make the move due to fears their critical apps will underperform once taken off-premises,” said Torsten Volk, Managing Research Director, Enterprise Management Associates. “The insights delivered by Virtual Instruments’ new CMR service will help enterprises determine whether cloud migration makes sense for their installed applications and which cloud offering is the most cost-effective. As a result, Virtual Instruments is well-positioned to help their enterprise customers reap the benefits of the cloud without exposing their businesses to the inherent risks.”

To successfully reduce cloud migration complexity, right-size cloud configurations, and validate cloud performance, the CMR service defines four distinct phases:

- Discovery – Discover application workload characteristics and identify dependencies between installed compute, networking and storage elements.

- Profiling – Distill hundreds or thousands of workloads into a small set of representative synthetic workloads that accurately characterize performance.

- Playback – Accurately play back representative synthetic workloads in the cloud to select cost-optimal configurations and placements – without compromising workload performance.

- Monitor – Monitor actual workloads post migration to the cloud to identify any unforeseen performance or capacity issues.

“Considering the potential cost and time savings at hand, enterprises are under significant pressure to intelligently move their applications to the cloud – but doing so without adequate planning and analysis can be more costly than staying on-premises. Understanding which workloads can be successfully migrated to the cloud both from a performance and cost perspective is a critical customer need,” said Rick Haggart, SVP of Professional Services at Virtual Instruments. “With the new CMR service, enterprises gain tremendous insight into the performance and behavior of their applications before they migrate to the cloud. By adding this crucial element to their cloud migration strategy, enterprises can cost-effectively embrace the cloud to advance their digital transformation initiatives.”

Virtual Instruments’ Cloud Migration Readiness service is available now.

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According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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