Skip to main content

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

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

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

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...