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Site24x7 Launches Network Monitoring Beta

Site24x7 announced the launch of Network Monitoring beta.

With the new product,feature providing in-depth performance insight and optimization for network devices, Site24x7 becomes the first all-in-one, SaaS-based monitoring solution to meet the needs of both development and operations (DevOps) teams.

To provide better quality software and services, the DevOps methodology stresses improved collaboration and communication between development and IT operations teams as well as improved IT operations performance. However, most DevOps solutions actually impede collaboration and communication by taking a development- or IT operations-centric approach to monitoring, which forces one of the teams to adopt additional tools to meet its needs. Now, Site24x7 provides unparalleled balance and depth of monitoring, so both development and operations teams can collaborate around a single tool.

"By adding network monitoring to Site24x7, we deliver on the DevOps promise with one console that provides comprehensive monitoring from applications to infrastructure and end users," said Gibu Mathew, Director of Product Management, Site24x7. "Site24x7 keeps development and IT operations teams in touch and on the same page, literally; so they can focus on the performance and availability of critical applications, without getting bogged down in confusing or inconsistent data - or worse - finger pointing."

The Network Monitoring product is based on ManageEngine's proven, enterprise-class network performance monitoring software, OpManager.

The new product provides comprehensive monitoring for critical network components such as routers, switches and firewalls. By running a network discovery using SNMP, Network Monitoring automatically discovers network devices to monitor. Network Monitoring includes:

- Router Monitoring, which monitors critical router performance metrics such as CPU, memory utilization, buffer hit stats and more. Router monitoring also pinpoints unusual performance and assists in isolating issues faster.

- Switch Monitoring, which analyses the status and availability of switch ports and actively monitors them. It also identifies highly utilized and under-utilized ports.

- Firewall Monitoring, which monitors the availability and performance of firewall devices as well as monitors critical metrics such as firewall CPU utilization, active sessions count and more.

In one solution, Site24x7 provides the monitoring services that enable DevOps teams to work together to improve software development and IT operations. Site24x7 monitors website, web, and mobile applications; application performance; infrastructure (server and network); and public and private clouds.

- For developers, Site24x7 tracks application response times and monitors real user experience. For developers working with Java, .Net, Ruby and mobile platforms, Site24x7 can drill down into transactions to identify the root cause of performance problems in the application stack, e.g., app, web server, SQL queries, or database.

- For IT operations teams, Site24x7 monitors website and web application availability and performance, tracks the availability and performance of servers and the network infrastructure, and provides end users with availability and performance dashboards.

Network Monitoring is available immediately to evaluate for free during beta testing.

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.

Site24x7 Launches Network Monitoring Beta

Site24x7 announced the launch of Network Monitoring beta.

With the new product,feature providing in-depth performance insight and optimization for network devices, Site24x7 becomes the first all-in-one, SaaS-based monitoring solution to meet the needs of both development and operations (DevOps) teams.

To provide better quality software and services, the DevOps methodology stresses improved collaboration and communication between development and IT operations teams as well as improved IT operations performance. However, most DevOps solutions actually impede collaboration and communication by taking a development- or IT operations-centric approach to monitoring, which forces one of the teams to adopt additional tools to meet its needs. Now, Site24x7 provides unparalleled balance and depth of monitoring, so both development and operations teams can collaborate around a single tool.

"By adding network monitoring to Site24x7, we deliver on the DevOps promise with one console that provides comprehensive monitoring from applications to infrastructure and end users," said Gibu Mathew, Director of Product Management, Site24x7. "Site24x7 keeps development and IT operations teams in touch and on the same page, literally; so they can focus on the performance and availability of critical applications, without getting bogged down in confusing or inconsistent data - or worse - finger pointing."

The Network Monitoring product is based on ManageEngine's proven, enterprise-class network performance monitoring software, OpManager.

The new product provides comprehensive monitoring for critical network components such as routers, switches and firewalls. By running a network discovery using SNMP, Network Monitoring automatically discovers network devices to monitor. Network Monitoring includes:

- Router Monitoring, which monitors critical router performance metrics such as CPU, memory utilization, buffer hit stats and more. Router monitoring also pinpoints unusual performance and assists in isolating issues faster.

- Switch Monitoring, which analyses the status and availability of switch ports and actively monitors them. It also identifies highly utilized and under-utilized ports.

- Firewall Monitoring, which monitors the availability and performance of firewall devices as well as monitors critical metrics such as firewall CPU utilization, active sessions count and more.

In one solution, Site24x7 provides the monitoring services that enable DevOps teams to work together to improve software development and IT operations. Site24x7 monitors website, web, and mobile applications; application performance; infrastructure (server and network); and public and private clouds.

- For developers, Site24x7 tracks application response times and monitors real user experience. For developers working with Java, .Net, Ruby and mobile platforms, Site24x7 can drill down into transactions to identify the root cause of performance problems in the application stack, e.g., app, web server, SQL queries, or database.

- For IT operations teams, Site24x7 monitors website and web application availability and performance, tracks the availability and performance of servers and the network infrastructure, and provides end users with availability and performance dashboards.

Network Monitoring is available immediately to evaluate for free during beta testing.

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.