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Log Data Now Outranks Traditional Data Sources for Network Operations Management

Jim Frey

As network managers, engineers, and operators strive to protect the integrity and performance of enterprise networks, they are faced with an onslaught of data and metrics. They must wade quickly and carefully through this deluge in order to perform monitoring, troubleshooting, and planning. With recent trends moving technology toward software-defined and programmable infrastructure, as well as the parallel convergence of IT operations across multiple technology domains, network log data is being increasingly both used and appreciated. But proper and effective use of network log data is not without its challenges.

Enterprise Management Associates (EMA) released its latest research report entitled Log Analytics for Network Operations Management which takes a detailed look at the ways in which network log data is being harvested, analyzed, and used for network operations management. Based on the experiences and findings of over 190 enterprise practitioners, log analytics best practices are provided.

Some of the key findings in this study include:

■ 96% of participants indicated that network log data was of average importance or higher within their overall hierarchy of network management data sources, and 64% felt is “More important than most” or “Most important”.

■ 75% of shops are either currently using a central log analysis system or are planning to consolidate the multiple tools they have into a single system.

■ The biggest challenge most face when using network log data is “Knowing what to look for” and consequently the most highly valued feature for log analytics is “Fast search”.

■ Over 90% of organizations are applying one or more forms of advanced analytics in the processing of network log data, such as root cause analysis, proactive alerting, threat identification, and performance trending.

■ Over 80% of organizations are using network log data to support higher level BSM/ITSM initiatives, most particularly for IT service quality monitoring (61%).

EMA has been tracking the role that network log data plays in network management disciplines for years. What is most striking is that log data now outranks traditional network management data sources such as SNMP, NetFlow, and packet analysis as most heavily used and valued for multiple use cases. EMA recommends that networking professionals add log data to their portfolio of viewpoints while also seeking a means to closely integrate and align that viewpoint with others in order to get the most impactful results.

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Log Data Now Outranks Traditional Data Sources for Network Operations Management

Jim Frey

As network managers, engineers, and operators strive to protect the integrity and performance of enterprise networks, they are faced with an onslaught of data and metrics. They must wade quickly and carefully through this deluge in order to perform monitoring, troubleshooting, and planning. With recent trends moving technology toward software-defined and programmable infrastructure, as well as the parallel convergence of IT operations across multiple technology domains, network log data is being increasingly both used and appreciated. But proper and effective use of network log data is not without its challenges.

Enterprise Management Associates (EMA) released its latest research report entitled Log Analytics for Network Operations Management which takes a detailed look at the ways in which network log data is being harvested, analyzed, and used for network operations management. Based on the experiences and findings of over 190 enterprise practitioners, log analytics best practices are provided.

Some of the key findings in this study include:

■ 96% of participants indicated that network log data was of average importance or higher within their overall hierarchy of network management data sources, and 64% felt is “More important than most” or “Most important”.

■ 75% of shops are either currently using a central log analysis system or are planning to consolidate the multiple tools they have into a single system.

■ The biggest challenge most face when using network log data is “Knowing what to look for” and consequently the most highly valued feature for log analytics is “Fast search”.

■ Over 90% of organizations are applying one or more forms of advanced analytics in the processing of network log data, such as root cause analysis, proactive alerting, threat identification, and performance trending.

■ Over 80% of organizations are using network log data to support higher level BSM/ITSM initiatives, most particularly for IT service quality monitoring (61%).

EMA has been tracking the role that network log data plays in network management disciplines for years. What is most striking is that log data now outranks traditional network management data sources such as SNMP, NetFlow, and packet analysis as most heavily used and valued for multiple use cases. EMA recommends that networking professionals add log data to their portfolio of viewpoints while also seeking a means to closely integrate and align that viewpoint with others in order to get the most impactful results.

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Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

Image
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In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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