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NetOps: A Key Element for Every Enterprise

Clayton Dukes

You've heard of DevOps and SecOps, but NetOps?

NetOps is a natural progression of legacy Network Operations to foster more efficient and resilient infrastructures through automation and intelligence. NetOps provides enhanced operational awareness and a dramatic reduction in Mean Time To Restore (MTTR) during outages.

When the network is down or degraded, that's when the stress begins for Network Operations teams. NetOps provides the means to detect and remediate network issues as they happen, in real time.

The efficacy of NetOps personnel is reliant upon understanding five key elements of a NetOps Platform and how to best utilize and implement each:

1. Service Assurance

Until recently, it was not possible to keep up with the massive amount of data generated from so many disparate sources of information. This led to Network Management Architectures which contained multiple silos of information making it almost impossible to correlate and enrich data because teams could only see part of the picture and sometimes had no visibility at all into service affecting issues. Bringing your entire infrastructure's telemetry under management in one place provides the ability to quickly identify actionable events.

2. Service Automation

Many of today's network teams are still manually remediating issues because they either 1) don't have the mechanisms to automate it, or 2) they don't realize that it can be automated.

When given the ability to have real-time remediation, the scenarios can be potentially endless, therefore, any problem that can workflow a solution should be automated. This automation allows NetOps to construct a trigger that can automatically execute and resolve problems in real-time before anyone knows there was an issue and removes the need for repetitive tasks which eliminates human error.

3. Event Enrichment

When making informed decisions about what to do during the automation process, event enrichment is used to add a layer of intelligence to information about affected devices. When an event comes into a NetOps system, having the ability to modify the payload, add tags, go to other sources of information and look up details such as device location, SLAs, Change Control policies, contact information or anything else that can be used to further group and identify the affected entity greatly reduces the time needed to investigate and correlate service impacting events.

4. Extensibility and Scale

Being able to scale the platform provides the ability to deal with bursts of event streams when anomalistic behavior occurs. Extensibility allows for extraction and tracking of arbitrary data from incoming events (device types, users, locations, failed login names, IP sources/destination ports, GeoIP tracking, etc.) and provides greater visibility for operational awareness.

5. Agnostic Functions

NetOps are capable of ingesting data from any vendor hardware or software messaging platform which can be used to reap the benefits of automatically identifying actionable events, real-time automatic remediation, and assured availability. Agnostic functionality allows for different areas of the organization to utilize a platform without concern for operational effectiveness. Being able to provide operations insight, coupled with automatic remediation and event enrichment frees up engineering staff to do their job instead of repairing known, repeatable, processes.

If you can link automation of the network to all the interdependent steps of application and service delivery, you have the potential for radical change regarding how IT and networks operate and how users will experience services.

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NetOps: A Key Element for Every Enterprise

Clayton Dukes

You've heard of DevOps and SecOps, but NetOps?

NetOps is a natural progression of legacy Network Operations to foster more efficient and resilient infrastructures through automation and intelligence. NetOps provides enhanced operational awareness and a dramatic reduction in Mean Time To Restore (MTTR) during outages.

When the network is down or degraded, that's when the stress begins for Network Operations teams. NetOps provides the means to detect and remediate network issues as they happen, in real time.

The efficacy of NetOps personnel is reliant upon understanding five key elements of a NetOps Platform and how to best utilize and implement each:

1. Service Assurance

Until recently, it was not possible to keep up with the massive amount of data generated from so many disparate sources of information. This led to Network Management Architectures which contained multiple silos of information making it almost impossible to correlate and enrich data because teams could only see part of the picture and sometimes had no visibility at all into service affecting issues. Bringing your entire infrastructure's telemetry under management in one place provides the ability to quickly identify actionable events.

2. Service Automation

Many of today's network teams are still manually remediating issues because they either 1) don't have the mechanisms to automate it, or 2) they don't realize that it can be automated.

When given the ability to have real-time remediation, the scenarios can be potentially endless, therefore, any problem that can workflow a solution should be automated. This automation allows NetOps to construct a trigger that can automatically execute and resolve problems in real-time before anyone knows there was an issue and removes the need for repetitive tasks which eliminates human error.

3. Event Enrichment

When making informed decisions about what to do during the automation process, event enrichment is used to add a layer of intelligence to information about affected devices. When an event comes into a NetOps system, having the ability to modify the payload, add tags, go to other sources of information and look up details such as device location, SLAs, Change Control policies, contact information or anything else that can be used to further group and identify the affected entity greatly reduces the time needed to investigate and correlate service impacting events.

4. Extensibility and Scale

Being able to scale the platform provides the ability to deal with bursts of event streams when anomalistic behavior occurs. Extensibility allows for extraction and tracking of arbitrary data from incoming events (device types, users, locations, failed login names, IP sources/destination ports, GeoIP tracking, etc.) and provides greater visibility for operational awareness.

5. Agnostic Functions

NetOps are capable of ingesting data from any vendor hardware or software messaging platform which can be used to reap the benefits of automatically identifying actionable events, real-time automatic remediation, and assured availability. Agnostic functionality allows for different areas of the organization to utilize a platform without concern for operational effectiveness. Being able to provide operations insight, coupled with automatic remediation and event enrichment frees up engineering staff to do their job instead of repairing known, repeatable, processes.

If you can link automation of the network to all the interdependent steps of application and service delivery, you have the potential for radical change regarding how IT and networks operate and how users will experience services.

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Seamless shopping is a basic demand of today's boundaryless consumer — one with little patience for friction, limited tolerance for disconnected experiences and minimal hesitation in switching brands. Customers expect intuitive, highly personalized experiences and the ability to move effortlessly across physical and digital channels within the same journey. Failure to deliver can cost dearly ...

If your best engineers spend their days sorting tickets and resetting access, you are wasting talent. New global data shows that employees in the IT sector rank among the least motivated across industries. They're under a lot of pressure from many angles. Pressure to upskill and uncertainty around what agentic AI means for job security is creating anxiety. Meanwhile, these roles often function like an on-call job and require many repetitive tasks ...