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TeamQuest Releases New Performance Software

TeamQuest announced a new release of TeamQuest Performance Software. With this latest release, organizations can easily assess the health and potential areas of risk in their IT infrastructure by applying automated and accurate predictive algorithms using data sources within their IT enterprise.

“TeamQuest is the first organization that allows the existing infrastructure to remain entirely intact and augment the existing environment’s operations with the industry leading accurate risk assessment software,” said Dino Balafas, TeamQuest VP of Marketing.

TeamQuest Performance Software enables organizations to balance performance and cost of their IT infrastructure while minimizing risk. This release expands the advanced capabilities found in TeamQuest Predictor and AutoPredict by providing the option of using existing data collectors deployed within the IT environment. This makes it possible for companies to leverage TeamQuest’s advanced and automated predictive analytics without duplicating or replacing their existing performance data collection and capacity infrastructure.

The advanced and automated predictive analytics in TeamQuest Predictor with AutoPredictTM alert IT management to problems before they occur. With this latest software release, it is possible to use TeamQuest predictive analytics with non-TeamQuest performance data collection tools. This new software simplifies the implementation of TeamQuest analytics by large enterprise IT organizations with pre-existing performance and capacity data collection tools deployed.

TeamQuest automated predictive analytics are now compatible with commonly used collectors including:

- Tivoli performance data collection

- HP performance data collection

The software can be adapted for other data sources as well, provided the underlying performance measures include the necessary metrics and accuracy needed for advanced analytics.

The new TeamQuest Performance Software also supports measuring and analyzing the performance and capacity of Amazon EC2 instances. Customers gain the ability to analyze EC2-hosted services with services running on in-house IT infrastructure, which increases environment visibility for shops using hybrid cloud environments.

Additionally, customers can perform data collection, analysis, predictive analytics, and capacity planning for Ubuntu, a popular Linux cloud computing platform.

“It’s common for IT analytics software vendors to claim that they have predictive and proactive capabilities, but the software underlying their solutions uses simplistic approximations for how IT infrastructure scales, which can lead to unreliable predictions” said Bill Andruss, CTO of TeamQuest. “TeamQuest Performance Software uses advanced queuing theory to predict what really matters - throughput and response time - not just resource utilization, so users get highly-scalable, automated accuracy without having to understand how it works.”

TeamQuest’s advanced analytics are a feature of TeamQuest Predictor, a software solution for capacity planning. TeamQuest Predictor's AutoPredictTM functionality automates capacity planning across the entire IT infrastructure, providing continuous, automated health predictions. With TeamQuest Predictor you know about problems before they occur, and you know the most efficient way to prepare. Predictor guides you to optimal hardware configurations so you don’t waste money over-provisioning.

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TeamQuest Releases New Performance Software

TeamQuest announced a new release of TeamQuest Performance Software. With this latest release, organizations can easily assess the health and potential areas of risk in their IT infrastructure by applying automated and accurate predictive algorithms using data sources within their IT enterprise.

“TeamQuest is the first organization that allows the existing infrastructure to remain entirely intact and augment the existing environment’s operations with the industry leading accurate risk assessment software,” said Dino Balafas, TeamQuest VP of Marketing.

TeamQuest Performance Software enables organizations to balance performance and cost of their IT infrastructure while minimizing risk. This release expands the advanced capabilities found in TeamQuest Predictor and AutoPredict by providing the option of using existing data collectors deployed within the IT environment. This makes it possible for companies to leverage TeamQuest’s advanced and automated predictive analytics without duplicating or replacing their existing performance data collection and capacity infrastructure.

The advanced and automated predictive analytics in TeamQuest Predictor with AutoPredictTM alert IT management to problems before they occur. With this latest software release, it is possible to use TeamQuest predictive analytics with non-TeamQuest performance data collection tools. This new software simplifies the implementation of TeamQuest analytics by large enterprise IT organizations with pre-existing performance and capacity data collection tools deployed.

TeamQuest automated predictive analytics are now compatible with commonly used collectors including:

- Tivoli performance data collection

- HP performance data collection

The software can be adapted for other data sources as well, provided the underlying performance measures include the necessary metrics and accuracy needed for advanced analytics.

The new TeamQuest Performance Software also supports measuring and analyzing the performance and capacity of Amazon EC2 instances. Customers gain the ability to analyze EC2-hosted services with services running on in-house IT infrastructure, which increases environment visibility for shops using hybrid cloud environments.

Additionally, customers can perform data collection, analysis, predictive analytics, and capacity planning for Ubuntu, a popular Linux cloud computing platform.

“It’s common for IT analytics software vendors to claim that they have predictive and proactive capabilities, but the software underlying their solutions uses simplistic approximations for how IT infrastructure scales, which can lead to unreliable predictions” said Bill Andruss, CTO of TeamQuest. “TeamQuest Performance Software uses advanced queuing theory to predict what really matters - throughput and response time - not just resource utilization, so users get highly-scalable, automated accuracy without having to understand how it works.”

TeamQuest’s advanced analytics are a feature of TeamQuest Predictor, a software solution for capacity planning. TeamQuest Predictor's AutoPredictTM functionality automates capacity planning across the entire IT infrastructure, providing continuous, automated health predictions. With TeamQuest Predictor you know about problems before they occur, and you know the most efficient way to prepare. Predictor guides you to optimal hardware configurations so you don’t waste money over-provisioning.

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An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...

In March, New Relic published the State of Observability for Media and Entertainment Report to share insights, data, and analysis into the adoption and business value of observability across the media and entertainment industry. Here are six key takeaways from the report ...

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 ...

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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 ...

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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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