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Uptime Offers New Customizable IT Dashboards

uptime software released its latest update to up.time 7, a unified IT dashboard for watching over servers, applications, networks, and IT services.

up.time delivers multi-platform and easy-to-deploy monitoring, alerting and reporting for performance, availability and capacity management across the enterprise datacenter.

To create an effective IT management process, tooling must collect and share data across applications in exactly the format needed, without requiring administrators to spend hundreds of hours on integration services. Performance, availability and capacity management and monitoring is one piece of the IT puzzle, so it’s essential to use tools that can easily integrate with the rest of your IT and business applications. up.time’s new open RESTful API makes it easy to integrate data from up.time, including inventory and availability metrics, into any application in the enterprise.

New capabilities include:

- Display availability data in a way that makes sense to the business. Easily extract the current status of all elements and monitors along with detailed listings of availability information. Build dynamic topology maps that help IT understand the impact and root cause of any outage. Create dynamic topology ‘trees’ that allow administrators to view the status of the entire IT environment at the highest level and quickly drill down to the source of an outage in just a few clicks.

- See and respond to issues from a cell phone or tablet. up.time’s mobile interface, built using the new up.time API, allows users to quickly review any outage or performance issues and respond from the comfort of a mobile device.

- Easily create IT dashboard views that make sense to management. The up.time drag and drop dashboard builder (using the up.time API) can use any background image and will display the status of key infrastructure components or applications over top. World maps can show the status of your datacenters, images inside the datacenter can show key server status, IT service images and flows can display the health of each component, and much more. Customize dashboards with images to show your datacenters, servers, applications, networks and IT services in the way that makes the most sense for your IT department.

- An enterprise ready and easy to use API. Code in any language with the up.time RESTful API, which can be securely accessed directly from a web browser. No additional setup required, end users can access the up.time API using their normal credentials and will only gain access to the elements and features they would normally have access to via the up.time web interface. Each call to the API is authenticated and secured using SSL encryption.

- Integrate with other tools, applications and data. Easily move data in and out of up.time to integrate with other IT systems. Pull data into ticketing systems or corporate dashboards. Combine data from two up.time installations for a global view or easily combine up.time data with other any applications' data.

- New 64-bit Monitoring. A 100% improvement in up.time's speed and performance. up.time now utilizes a 64-bit monitoring stack, giving an incredible boost to out-of-the-box performance and providing near limitless monitoring scalability.

- Easier Administration. Enhanced auto-discovery speeds up deployment and administration time. Faster network discovery, faster bulk addition of elements and a new wizard based discovery process cut the auto-discovery time by over 50%.

"Meeting the needs of IT managers and system administrators in mid and large enterprise IT environments is what we focus on at uptime software. Continually adding new capabilities that make managing and administrating complex IT environments easier, and more cost effective, for our customers is paramount. This latest update of up.time brings high value, customizable dashboards to our customer base,” explains Alex Bewley, CTO of uptime software. “In addition, integrating with corporate dashboards, service desk, ticketing or other business or IT applications is a snap."

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 ...

Uptime Offers New Customizable IT Dashboards

uptime software released its latest update to up.time 7, a unified IT dashboard for watching over servers, applications, networks, and IT services.

up.time delivers multi-platform and easy-to-deploy monitoring, alerting and reporting for performance, availability and capacity management across the enterprise datacenter.

To create an effective IT management process, tooling must collect and share data across applications in exactly the format needed, without requiring administrators to spend hundreds of hours on integration services. Performance, availability and capacity management and monitoring is one piece of the IT puzzle, so it’s essential to use tools that can easily integrate with the rest of your IT and business applications. up.time’s new open RESTful API makes it easy to integrate data from up.time, including inventory and availability metrics, into any application in the enterprise.

New capabilities include:

- Display availability data in a way that makes sense to the business. Easily extract the current status of all elements and monitors along with detailed listings of availability information. Build dynamic topology maps that help IT understand the impact and root cause of any outage. Create dynamic topology ‘trees’ that allow administrators to view the status of the entire IT environment at the highest level and quickly drill down to the source of an outage in just a few clicks.

- See and respond to issues from a cell phone or tablet. up.time’s mobile interface, built using the new up.time API, allows users to quickly review any outage or performance issues and respond from the comfort of a mobile device.

- Easily create IT dashboard views that make sense to management. The up.time drag and drop dashboard builder (using the up.time API) can use any background image and will display the status of key infrastructure components or applications over top. World maps can show the status of your datacenters, images inside the datacenter can show key server status, IT service images and flows can display the health of each component, and much more. Customize dashboards with images to show your datacenters, servers, applications, networks and IT services in the way that makes the most sense for your IT department.

- An enterprise ready and easy to use API. Code in any language with the up.time RESTful API, which can be securely accessed directly from a web browser. No additional setup required, end users can access the up.time API using their normal credentials and will only gain access to the elements and features they would normally have access to via the up.time web interface. Each call to the API is authenticated and secured using SSL encryption.

- Integrate with other tools, applications and data. Easily move data in and out of up.time to integrate with other IT systems. Pull data into ticketing systems or corporate dashboards. Combine data from two up.time installations for a global view or easily combine up.time data with other any applications' data.

- New 64-bit Monitoring. A 100% improvement in up.time's speed and performance. up.time now utilizes a 64-bit monitoring stack, giving an incredible boost to out-of-the-box performance and providing near limitless monitoring scalability.

- Easier Administration. Enhanced auto-discovery speeds up deployment and administration time. Faster network discovery, faster bulk addition of elements and a new wizard based discovery process cut the auto-discovery time by over 50%.

"Meeting the needs of IT managers and system administrators in mid and large enterprise IT environments is what we focus on at uptime software. Continually adding new capabilities that make managing and administrating complex IT environments easier, and more cost effective, for our customers is paramount. This latest update of up.time brings high value, customizable dashboards to our customer base,” explains Alex Bewley, CTO of uptime software. “In addition, integrating with corporate dashboards, service desk, ticketing or other business or IT applications is a snap."

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 ...