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Remote IT Network Monitoring and Automated Management Reduce Troubleshooting by 75%

Pete Goldin
APMdigest

Remote monitoring and automated management reduce the time to troubleshoot faulty networking devices by 75%, according to Dimension Data’s annual Network Barometer Report. Consequently, it takes 32% less time to repair such devices than those not managed in this way. Furthermore, this year’s research again shows a strong correlation between the failures caused by devices and their lifecycle stage.

According to the report, networks have continued to age for the fifth consecutive year, making 53% of the over 70,000 technology devices that were analyzed either aging or obsolete – up by two percentage points since last year.

There’s also been a slight drop in the percentage of obsolete devices – down to 9% from last year’s 11% – while the percentage of aging devices has increased by four points. The percentage of the current devices analyzed is at its lowest in three years.

Andre van Schalkwyk, Consulting Practice Manager for Dimension Data’s Networking Business Unit said, “During the seven-year history of the Network Barometer Report, the average tolerance level for organization’s obsolete devices in their networks has been around 10%. Rarely do organizations allow this to increase beyond 11% before they refresh the relevant devices. The conventional assumption was that an overall technology refresh was imminent, but our data shows that organizations are refreshing mostly obsolete devices, and are clearly willing to sweat their aging devices for longer than expected. Organizations therefore focus their refresh initiatives mostly on technology that has reached critical lifecycle stages when vendor support is no longer available,” explains van Schalkwyk.

Based on its experience in evaluating organizations’ operational support maturity, Dimension Data says that on a scale of five, some 90% of organizations are still at the first or second level of maturity. These levels are characterized by a lack of standard processes, ad hoc troubleshooting tools, and ambiguous roles and responsibilities for IT staff, resulting in extended network downtime and increased operational costs. This is also the reason why 30% of all service incidents are still related to human error.

Van Schalkwyk points out that mature monitoring, support, and maintenance processes allow for a higher tolerance for aging devices in the network. This proves the viability of managing an older network overall. “That’s provided there’s sufficient visibility of the lifecycle status of all devices, an understanding of their risk profile depending on their criticality to the infrastructure as a whole, and the proactive management of that risk. Overall, we’re seeing a growing need for more effective day-to-day network management across all corporate networks.”

Dimension Data’s Network Barometer Report globally analyses, compares and interprets the readiness of today’s networks to accelerate business. The 2015 Report was compiled from technology data gathered from over 350 Technology Lifecycle Management Assessments (up from 288 last year), which covered 70,000 technology devices in organisations of all sizes and all industry sectors across 28 countries. It also contains data relating to over 175,000 service incidents, logged at Dimension Data's Global Contact Centres, for client networks they support. The result is a multidimensional view of today’s networks.

Pete Goldin is Editor and Publisher of APMdigest

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Remote IT Network Monitoring and Automated Management Reduce Troubleshooting by 75%

Pete Goldin
APMdigest

Remote monitoring and automated management reduce the time to troubleshoot faulty networking devices by 75%, according to Dimension Data’s annual Network Barometer Report. Consequently, it takes 32% less time to repair such devices than those not managed in this way. Furthermore, this year’s research again shows a strong correlation between the failures caused by devices and their lifecycle stage.

According to the report, networks have continued to age for the fifth consecutive year, making 53% of the over 70,000 technology devices that were analyzed either aging or obsolete – up by two percentage points since last year.

There’s also been a slight drop in the percentage of obsolete devices – down to 9% from last year’s 11% – while the percentage of aging devices has increased by four points. The percentage of the current devices analyzed is at its lowest in three years.

Andre van Schalkwyk, Consulting Practice Manager for Dimension Data’s Networking Business Unit said, “During the seven-year history of the Network Barometer Report, the average tolerance level for organization’s obsolete devices in their networks has been around 10%. Rarely do organizations allow this to increase beyond 11% before they refresh the relevant devices. The conventional assumption was that an overall technology refresh was imminent, but our data shows that organizations are refreshing mostly obsolete devices, and are clearly willing to sweat their aging devices for longer than expected. Organizations therefore focus their refresh initiatives mostly on technology that has reached critical lifecycle stages when vendor support is no longer available,” explains van Schalkwyk.

Based on its experience in evaluating organizations’ operational support maturity, Dimension Data says that on a scale of five, some 90% of organizations are still at the first or second level of maturity. These levels are characterized by a lack of standard processes, ad hoc troubleshooting tools, and ambiguous roles and responsibilities for IT staff, resulting in extended network downtime and increased operational costs. This is also the reason why 30% of all service incidents are still related to human error.

Van Schalkwyk points out that mature monitoring, support, and maintenance processes allow for a higher tolerance for aging devices in the network. This proves the viability of managing an older network overall. “That’s provided there’s sufficient visibility of the lifecycle status of all devices, an understanding of their risk profile depending on their criticality to the infrastructure as a whole, and the proactive management of that risk. Overall, we’re seeing a growing need for more effective day-to-day network management across all corporate networks.”

Dimension Data’s Network Barometer Report globally analyses, compares and interprets the readiness of today’s networks to accelerate business. The 2015 Report was compiled from technology data gathered from over 350 Technology Lifecycle Management Assessments (up from 288 last year), which covered 70,000 technology devices in organisations of all sizes and all industry sectors across 28 countries. It also contains data relating to over 175,000 service incidents, logged at Dimension Data's Global Contact Centres, for client networks they support. The result is a multidimensional view of today’s networks.

Pete Goldin is Editor and Publisher of APMdigest

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AI is becoming the operating system of the enterprise. It acts as an invisible coordination layer that understands intent, connects systems, and executes work across complex SaaS environments. Previously, employees had to click through multiple systems — CRM, ERP, support tools, collaboration platforms — to complete a single task. Now, instead of navigating each application manually, they can simply state what they need to accomplish ...

In 2026, the cost of downtime or an outage is no longer just a technical inconvenience; it's a $600 billion wake up call for global businesses. As our digital ecosystems become  more interconnected, each touchpoint introduces new risks and multiplies the consequences when things go wrong. And the data is clear: aggregate downtime costs  for Global 2,000 companies have surged 50% since 2024, reaching a staggering $600 billion ...

Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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