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ScienceLogic Introduces Video Conferencing Management Capabilities

ScienceLogic has added video conferencing management capabilities to its IT operations and dynamic cloud management platform.

Providing support for Cisco TelePresence (Tandberg), Polycom, and LifeSize, ScienceLogic offers the most comprehensive video conferencing management product on the market.

Service providers and corporations can now use a single IT management system to easily manage multi-vendor video conferencing environments, including endpoints and hosted or remote infrastructure, and deploy managed video services with confidence.

ScienceLogic pre-integrates the core management functions that enterprises and service providers need to manage IT operations across today’s complex data center and cloud computing infrastructures, including performance, fault, availability, asset, service desk, automation, and event management. As a result, ScienceLogic monitors the entire IT infrastructure of servers, networks, and storage – not just the video conferencing and telepresence systems – to provide a comprehensive view of video conferencing service quality through a single web console.

Given the bandwidth demands and complex quality of service (QoS) policies required for telepresence deployments, the ability to monitor video conferencing in context with the rest of the IT infrastructure provides better insight into how it is performing and its impact on other applications and systems.

Specifically, ScienceLogic customers have access to video asset and inventory management, health and availability statistics, call detail records, and customizable reporting and dashboards.

In addition, ScienceLogic provides visibility into each video call as it occurs as well as historical analyses to help organizations diagnose problems and optimize future performance.

The ability to maintain a high-quality video conferencing experience frees IT staff to focus on more strategic projects. This includes using ScienceLogic’s built-in multi-tenancy capability to quickly create managed video services, which drive new revenue streams and competitive differentiation.

For example, service providers can easily create branded portals for each customer to monitor the status and performance of their video conferencing and telepresence systems as a value-add service.

In addition, the ScienceLogic platform is customizable to quickly manage new and existing devices, systems and applications, without the need for vendor code changes or services engagements. This enables organizations to manage their collective IT resources now and be prepared to handle changes in the future – such as an acquisition that brings a different vendor’s video conferencing system into the IT mix – for better support of business goals. Also, third-party systems, such as those that offer ticketing, can be easily integrated into the product to streamline workflow.

The ScienceLogic video conferencing management solution is available immediately at no additional cost to existing customers who are using the latest generation of the ScienceLogic product. ScienceLogic charges per device, with a device license costing $150 per device. The ScienceLogic platform is also available via subscription.

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ScienceLogic Introduces Video Conferencing Management Capabilities

ScienceLogic has added video conferencing management capabilities to its IT operations and dynamic cloud management platform.

Providing support for Cisco TelePresence (Tandberg), Polycom, and LifeSize, ScienceLogic offers the most comprehensive video conferencing management product on the market.

Service providers and corporations can now use a single IT management system to easily manage multi-vendor video conferencing environments, including endpoints and hosted or remote infrastructure, and deploy managed video services with confidence.

ScienceLogic pre-integrates the core management functions that enterprises and service providers need to manage IT operations across today’s complex data center and cloud computing infrastructures, including performance, fault, availability, asset, service desk, automation, and event management. As a result, ScienceLogic monitors the entire IT infrastructure of servers, networks, and storage – not just the video conferencing and telepresence systems – to provide a comprehensive view of video conferencing service quality through a single web console.

Given the bandwidth demands and complex quality of service (QoS) policies required for telepresence deployments, the ability to monitor video conferencing in context with the rest of the IT infrastructure provides better insight into how it is performing and its impact on other applications and systems.

Specifically, ScienceLogic customers have access to video asset and inventory management, health and availability statistics, call detail records, and customizable reporting and dashboards.

In addition, ScienceLogic provides visibility into each video call as it occurs as well as historical analyses to help organizations diagnose problems and optimize future performance.

The ability to maintain a high-quality video conferencing experience frees IT staff to focus on more strategic projects. This includes using ScienceLogic’s built-in multi-tenancy capability to quickly create managed video services, which drive new revenue streams and competitive differentiation.

For example, service providers can easily create branded portals for each customer to monitor the status and performance of their video conferencing and telepresence systems as a value-add service.

In addition, the ScienceLogic platform is customizable to quickly manage new and existing devices, systems and applications, without the need for vendor code changes or services engagements. This enables organizations to manage their collective IT resources now and be prepared to handle changes in the future – such as an acquisition that brings a different vendor’s video conferencing system into the IT mix – for better support of business goals. Also, third-party systems, such as those that offer ticketing, can be easily integrated into the product to streamline workflow.

The ScienceLogic video conferencing management solution is available immediately at no additional cost to existing customers who are using the latest generation of the ScienceLogic product. ScienceLogic charges per device, with a device license costing $150 per device. The ScienceLogic platform is also available via subscription.

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...