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TeamQuest Introduces Vityl

TeamQuest announced the release of their new Vityl software suite.

The suite of complementary products conveys the health of IT infrastructure, identifies when and where future risks of poor performance exist, and connects IT metrics with business outcomes.

"The Vityl suite is fueled by algorithms that distill a vast array of metrics down to single indicators of current health and future risk of service performance, making it simpler to identify, resolve and predict issues," said President and CEO Paul Hesser. "Vityl connects the dots from IT analysts to IT managers to business leaders. It's all about simplifying the work and transcending IT beyond its traditional business boundaries."

- Vityl Adviser: Automatically analyzes key metrics from disparate systems to calculate health and risk scores and provides connected workflows for problem identification, resolution, and prediction

- Vityl Dashboard: Transforms IT metrics into business-centric views, aligning IT investments with business objectives and providing executives with information they need to make business decisions

- Vityl Monitor: Tracks service performance down to one-second intervals, enabling fast, seamless identification and resolution of performance issues

The algorithms powering the Vityl suite automatically calculate a health score for faster problem identification and resolution, and a risk score to indicate the time frame, location, and severity of future issues so they can be avoided. Evolved over decades of fine-tuning, the algorithms take non-linear behavior into account which yield an accuracy rate better than other solution providers.

Value based views offer an out of the box experience for the different stakeholders in an organization by providing greater transparency from top to bottom, allowing IT to better communicate the value it delivers to the business, and allowing executives to make more informed and timely business decisions. Transcending functional boundaries, purpose-built value based views provide detailed, technical data for IT operations staff and capacity planners, dynamic views of service status for managers, and alignment of IT investment with top-level business objectives for executives. Connecting IT metrics to business dimensions transforms the conversation from IT as a cost center to a business discussion.  All purpose-built views can be modified to adjust to the specific needs of the organization, or completely new customized views can be created.

Connected workflows provide the ability to observe performance, resolve issues, predict resource requirements, and guide decisions using one, integrated platform. Managers, who typically view the IT environments in the context of services, can drill down to understand the impact of service demand on the infrastructure, and operations staff can understand what services are impacted by poor-performing infrastructure. This allows all services impacted by infrastructure issues to be identified, allowing IT to be more proactive and efficient across all business functions.

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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TeamQuest Introduces Vityl

TeamQuest announced the release of their new Vityl software suite.

The suite of complementary products conveys the health of IT infrastructure, identifies when and where future risks of poor performance exist, and connects IT metrics with business outcomes.

"The Vityl suite is fueled by algorithms that distill a vast array of metrics down to single indicators of current health and future risk of service performance, making it simpler to identify, resolve and predict issues," said President and CEO Paul Hesser. "Vityl connects the dots from IT analysts to IT managers to business leaders. It's all about simplifying the work and transcending IT beyond its traditional business boundaries."

- Vityl Adviser: Automatically analyzes key metrics from disparate systems to calculate health and risk scores and provides connected workflows for problem identification, resolution, and prediction

- Vityl Dashboard: Transforms IT metrics into business-centric views, aligning IT investments with business objectives and providing executives with information they need to make business decisions

- Vityl Monitor: Tracks service performance down to one-second intervals, enabling fast, seamless identification and resolution of performance issues

The algorithms powering the Vityl suite automatically calculate a health score for faster problem identification and resolution, and a risk score to indicate the time frame, location, and severity of future issues so they can be avoided. Evolved over decades of fine-tuning, the algorithms take non-linear behavior into account which yield an accuracy rate better than other solution providers.

Value based views offer an out of the box experience for the different stakeholders in an organization by providing greater transparency from top to bottom, allowing IT to better communicate the value it delivers to the business, and allowing executives to make more informed and timely business decisions. Transcending functional boundaries, purpose-built value based views provide detailed, technical data for IT operations staff and capacity planners, dynamic views of service status for managers, and alignment of IT investment with top-level business objectives for executives. Connecting IT metrics to business dimensions transforms the conversation from IT as a cost center to a business discussion.  All purpose-built views can be modified to adjust to the specific needs of the organization, or completely new customized views can be created.

Connected workflows provide the ability to observe performance, resolve issues, predict resource requirements, and guide decisions using one, integrated platform. Managers, who typically view the IT environments in the context of services, can drill down to understand the impact of service demand on the infrastructure, and operations staff can understand what services are impacted by poor-performing infrastructure. This allows all services impacted by infrastructure issues to be identified, allowing IT to be more proactive and efficient across all business functions.

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...