Skip to main content

Savision Launches Live Maps v8

Savision introduced Live Maps v8, offering additional at-a-glance insights and impact analysis to predict how your various services will be affected by IT incidents.

Live Maps is a powerful, unifying Business Service Management solution that can improve the quality of your real time services with tailored monitoring. IT Service Management (ITSM) is a modern approach to plan, implement and manage IT services of an agile service-oriented organization. Microsoft System Center Operations Manager is one IT solution that can support a number of objectives of ITSM. It is just one way that Savision offers business-focused, instead of IT-focused services.

Savision's software brings business and IT systems together by mapping dependencies between all business services, IT infrastructure and application components that are monitored by Microsoft System Center Operations Manager (SCOM). The new release offers features to improve insights and responsiveness for Business and IT teams.

"During an IT incident, it can be critical for everyone to know how their services or operations are being affected," said Diana Krieger, Savision's CEO. "Live Maps v8 provides additional at-a-glance insights that let you create impact analyses on change requests. This gives your teams and stakeholders the answers they need and ability to respond as quickly and effectively as possible."

Live Maps helps to reduce Helpdesk incidents by 30% and business downtime by 15% while decreasing IT monitoring costs by 15%. It can even improve organizational effectiveness by up to 25%.

Rob Doucette, Savision's CTO, adds, "Live Maps v8 offers even more control and improved processes with Service Notes and HTML5 Dashboards that can be shared with people across your organization who don't have access to SCOM."

The new features in Live Maps v8 include:

- Service Notes: Create notes for any Live Maps business services as well as communicate updates about services to other users in the organization. For instance, when a service outage is being worked on, it can show the estimated downtime and who to contact.

- Read-only HTML5 Dashboards: Share read-only dashboards with other stakeholders so they can view relevant data even if they are not a SCOM user. This way you can control drilldown behavior to prevent users accessing other Live Maps dashboards.

- BMC Remedy Integration (available mid-April): Currently you can integrate Live Maps with ServiceNow and System Center Service Manager. In v8 you can automatically sync your Live Maps business services with the BMC Remedy CMDB to gain better insights. With this new release you can see at-a-glance which services are impacted by each incident and perform impact analyses on change requests.

- Out-of-the-box services: An understanding of application architecture is critical to the diagnosis of performance and availability issues. Live Maps comes with out-of-box service models built using the most recent information available from Microsoft and subject-matter experts.

With one click, Live Maps discovers your deployments of applications like: SharePoint, Lync, and Active Directory.

This new release includes: Configuration Manager, Skype for Business 2015, Exchange 2010 and 2013, Windows DHCP, DNS, and Remote Desktop Services. It also provides insightful diagrams that make troubleshooting service issues a breeze.

Live Maps v8 offers two flexible licensing options: a perpetual or subscription license.

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Savision Launches Live Maps v8

Savision introduced Live Maps v8, offering additional at-a-glance insights and impact analysis to predict how your various services will be affected by IT incidents.

Live Maps is a powerful, unifying Business Service Management solution that can improve the quality of your real time services with tailored monitoring. IT Service Management (ITSM) is a modern approach to plan, implement and manage IT services of an agile service-oriented organization. Microsoft System Center Operations Manager is one IT solution that can support a number of objectives of ITSM. It is just one way that Savision offers business-focused, instead of IT-focused services.

Savision's software brings business and IT systems together by mapping dependencies between all business services, IT infrastructure and application components that are monitored by Microsoft System Center Operations Manager (SCOM). The new release offers features to improve insights and responsiveness for Business and IT teams.

"During an IT incident, it can be critical for everyone to know how their services or operations are being affected," said Diana Krieger, Savision's CEO. "Live Maps v8 provides additional at-a-glance insights that let you create impact analyses on change requests. This gives your teams and stakeholders the answers they need and ability to respond as quickly and effectively as possible."

Live Maps helps to reduce Helpdesk incidents by 30% and business downtime by 15% while decreasing IT monitoring costs by 15%. It can even improve organizational effectiveness by up to 25%.

Rob Doucette, Savision's CTO, adds, "Live Maps v8 offers even more control and improved processes with Service Notes and HTML5 Dashboards that can be shared with people across your organization who don't have access to SCOM."

The new features in Live Maps v8 include:

- Service Notes: Create notes for any Live Maps business services as well as communicate updates about services to other users in the organization. For instance, when a service outage is being worked on, it can show the estimated downtime and who to contact.

- Read-only HTML5 Dashboards: Share read-only dashboards with other stakeholders so they can view relevant data even if they are not a SCOM user. This way you can control drilldown behavior to prevent users accessing other Live Maps dashboards.

- BMC Remedy Integration (available mid-April): Currently you can integrate Live Maps with ServiceNow and System Center Service Manager. In v8 you can automatically sync your Live Maps business services with the BMC Remedy CMDB to gain better insights. With this new release you can see at-a-glance which services are impacted by each incident and perform impact analyses on change requests.

- Out-of-the-box services: An understanding of application architecture is critical to the diagnosis of performance and availability issues. Live Maps comes with out-of-box service models built using the most recent information available from Microsoft and subject-matter experts.

With one click, Live Maps discovers your deployments of applications like: SharePoint, Lync, and Active Directory.

This new release includes: Configuration Manager, Skype for Business 2015, Exchange 2010 and 2013, Windows DHCP, DNS, and Remote Desktop Services. It also provides insightful diagrams that make troubleshooting service issues a breeze.

Live Maps v8 offers two flexible licensing options: a perpetual or subscription license.

The Latest

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 ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

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 ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.