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TeamQuest Announces New KVM and EC2 Capacity Management Capabilities

A new release of TeamQuest Performance Software adds the ability for IT operations professionals to monitor and analyze the performance of Red Hat Enterprise Virtualization (KVM) and to capacity plan for migrations to Amazon Elastic Compute Cloud (EC2).

TeamQuest Performance Software is a suite of products for capacity management and IT Service Optimization in mixed-vendor environments. This latest release adds support for performance monitoring and analysis of Red Hat Enterprise Virtualization, an environment based on Red Hat's kernel-embedded KVM.

One product in the TeamQuest suite, TeamQuest Analyzer, allows sys admins to detect and quickly troubleshoot performance issues in complex environments. Now the tool can handle KVM as well as VMware and other technologies commonly used in IT operations.

Another tool in the suite, TeamQuest Surveyor, automatically analyzes capacity and formulates reports that make it easier for managers to ensure that IT efficiently delivers services to users.

Red Hat Enterprise Linux is the world's most popular Linux OS, and it's kernel-embedded implementation of KVM is a proven performer in the hypervisor market. These are some of the reasons why an increasing number of IT organizations have adopted KVM. But virtualization adds a new layer of complexity. "Virtualization introduces new challenges for capacity management says Scott Adams, Director of Product Management at TeamQuest." So our customers using KVM have been asking us to provide enterprise-class performance and capacity analysis tools for that environment. Now we have."

When capacity planners are faced with moving workloads to virtualized cloud environments, they need to choose how to migrate workloads and which workloads to migrate. TeamQuest Predictor is a tool that can help planners make decisions that balance performance with cost, and with this new TeamQuest software release, TeamQuest Predictor can help with migrations to Amazon Elastic Compute Cloud (EC2).

TeamQuest product manager, John Seifert, says, "Our goal is to help optimize IT services in multi-vendor environments, so it only made sense for us to provide capacity planning for what I think is by far the most popular Infrastructure-as-a-Service cloud service."

Using TeamQuest Predictor's new capability for Amazon EC2 you can:

- Ensure that service levels will be met when workloads are migrated to EC2

- Help you evaluate the cost of using EC2 by showing you which and how many instance types you will need

- Balance cost with performance, choosing the number and types of EC2 instances that will cost-effectively deliver the performance you really need

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TeamQuest Announces New KVM and EC2 Capacity Management Capabilities

A new release of TeamQuest Performance Software adds the ability for IT operations professionals to monitor and analyze the performance of Red Hat Enterprise Virtualization (KVM) and to capacity plan for migrations to Amazon Elastic Compute Cloud (EC2).

TeamQuest Performance Software is a suite of products for capacity management and IT Service Optimization in mixed-vendor environments. This latest release adds support for performance monitoring and analysis of Red Hat Enterprise Virtualization, an environment based on Red Hat's kernel-embedded KVM.

One product in the TeamQuest suite, TeamQuest Analyzer, allows sys admins to detect and quickly troubleshoot performance issues in complex environments. Now the tool can handle KVM as well as VMware and other technologies commonly used in IT operations.

Another tool in the suite, TeamQuest Surveyor, automatically analyzes capacity and formulates reports that make it easier for managers to ensure that IT efficiently delivers services to users.

Red Hat Enterprise Linux is the world's most popular Linux OS, and it's kernel-embedded implementation of KVM is a proven performer in the hypervisor market. These are some of the reasons why an increasing number of IT organizations have adopted KVM. But virtualization adds a new layer of complexity. "Virtualization introduces new challenges for capacity management says Scott Adams, Director of Product Management at TeamQuest." So our customers using KVM have been asking us to provide enterprise-class performance and capacity analysis tools for that environment. Now we have."

When capacity planners are faced with moving workloads to virtualized cloud environments, they need to choose how to migrate workloads and which workloads to migrate. TeamQuest Predictor is a tool that can help planners make decisions that balance performance with cost, and with this new TeamQuest software release, TeamQuest Predictor can help with migrations to Amazon Elastic Compute Cloud (EC2).

TeamQuest product manager, John Seifert, says, "Our goal is to help optimize IT services in multi-vendor environments, so it only made sense for us to provide capacity planning for what I think is by far the most popular Infrastructure-as-a-Service cloud service."

Using TeamQuest Predictor's new capability for Amazon EC2 you can:

- Ensure that service levels will be met when workloads are migrated to EC2

- Help you evaluate the cost of using EC2 by showing you which and how many instance types you will need

- Balance cost with performance, choosing the number and types of EC2 instances that will cost-effectively deliver the performance you really need

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Regardless of their scale, business decisions often take time, effort, and a lot of back-and-forth discussion to reach any sort of actionable conclusion ... Any means of streamlining this process and getting from complex problems to optimal solutions more efficiently and reliably is key. How can organizations optimize their decision-making to save time and reduce excess effort from those involved? ...

As enterprises accelerate their cloud adoption strategies, CIOs are routinely exceeding their cloud budgets — a concern that's about to face additional pressure from an unexpected direction: uncertainty over semiconductor tariffs. The CIO Cloud Trends Survey & Report from Azul reveals the extent continued cloud investment despite cost overruns, and how organizations are attempting to bring spending under control ...

Image
Azul

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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Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

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

In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

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) ...