Skip to main content

Observability Tools Fall Short

Shannon Weyrick
NS1

As companies generate more data across their network footprints, they need network observability tools to help find meaning in that data for better decision-making and problem solving. It seems many companies believe that adding more tools leads to better and faster insights. Earlier this year, the research firm Enterprise Management Associates (EMA) found more than 35% of organizations used 11 or more tools for network operations, and more than 50% used six or more.

And yet, observability tools aren't meeting many companies' needs. In fact, adding more tools introduces new challenges. Only one in four companies say they are successful with their network observability tools, according to a recent EMA and NS1 survey of IT stakeholders, and just 15.2% can identify and fix every network issue before it harms the organization.

Observability strategies are being held back both by the strategies surrounding tool adoption, and the capabilities of the tools themselves. Companies are responding to increased data in ways that add complexity and cost, and networking teams aren't obtaining immediate insight from their observability tools, which leaves them unable to quickly find or remediate network issues.

Let's review the data surrounding these shortcomings:

More Data and More Tools Bring Growing Pains

Increasingly complex networks are now generating more data — 85% of firms report that they have recently increased the amount of data they collect — and many companies are eager to take advantage of this increase. But companies can quickly run out of quota or storage space, resulting in either short retention times or substantial cost increases, and 43.5% of respondents say that data storage is now a major challenge.

Networking teams often respond to more data with more tools because their current ones aren't sufficient. More than 50% of respondents said they don't believe they have a single network observability tool that can fully answer any network question. Yet adding more tools often requires expensive customization, according to 54% of respondents, and even once set up is done, 46% say that conflicts between observability tools are a major problem.

Actionable Insights Remain a Work in Progress

Networking teams need observability tools to provide them with immediate insight so they can take action, but in practice, getting insights often requires excessive time and effort. Only one-third of respondents say obtaining a global view of network operations is very easy, and four in five say they are not fully satisfied with the ability to obtain insights from the tools they use. It's no surprise that 84.8% of respondents cannot detect every network issue before problems arise, and 88.8% cannot remediate every issue before problems occur.

Another significant problem is the high rate of false alarms — tool alerts that are ultimately meaningless but require investigation anyway. Remarkably, respondents report that 53% of all alerts are false alarms. This represents a tremendous time sink that likely contributes to three in four respondents saying they are not fully satisfied with their network tooling.

For companies overwhelmed by data storage and a failure to obtain insight, it may be worth deploying observability agents on the edge where data is generated. Such agents can analyze data in real time, so networking teams can bypass the challenges associated with backhauling potentially unused raw data and obtain real-time insight for rapid issue detection and remediation.

Moving forward, it is essential for the people who build network observability tools to understand what networking teams need. This includes deep but dynamically defined data collection with meaningful insights, especially regarding network and application performance, network security, and the end-user experience.

Shannon Weyrick is VP of Research at NS1

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

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
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...

Observability Tools Fall Short

Shannon Weyrick
NS1

As companies generate more data across their network footprints, they need network observability tools to help find meaning in that data for better decision-making and problem solving. It seems many companies believe that adding more tools leads to better and faster insights. Earlier this year, the research firm Enterprise Management Associates (EMA) found more than 35% of organizations used 11 or more tools for network operations, and more than 50% used six or more.

And yet, observability tools aren't meeting many companies' needs. In fact, adding more tools introduces new challenges. Only one in four companies say they are successful with their network observability tools, according to a recent EMA and NS1 survey of IT stakeholders, and just 15.2% can identify and fix every network issue before it harms the organization.

Observability strategies are being held back both by the strategies surrounding tool adoption, and the capabilities of the tools themselves. Companies are responding to increased data in ways that add complexity and cost, and networking teams aren't obtaining immediate insight from their observability tools, which leaves them unable to quickly find or remediate network issues.

Let's review the data surrounding these shortcomings:

More Data and More Tools Bring Growing Pains

Increasingly complex networks are now generating more data — 85% of firms report that they have recently increased the amount of data they collect — and many companies are eager to take advantage of this increase. But companies can quickly run out of quota or storage space, resulting in either short retention times or substantial cost increases, and 43.5% of respondents say that data storage is now a major challenge.

Networking teams often respond to more data with more tools because their current ones aren't sufficient. More than 50% of respondents said they don't believe they have a single network observability tool that can fully answer any network question. Yet adding more tools often requires expensive customization, according to 54% of respondents, and even once set up is done, 46% say that conflicts between observability tools are a major problem.

Actionable Insights Remain a Work in Progress

Networking teams need observability tools to provide them with immediate insight so they can take action, but in practice, getting insights often requires excessive time and effort. Only one-third of respondents say obtaining a global view of network operations is very easy, and four in five say they are not fully satisfied with the ability to obtain insights from the tools they use. It's no surprise that 84.8% of respondents cannot detect every network issue before problems arise, and 88.8% cannot remediate every issue before problems occur.

Another significant problem is the high rate of false alarms — tool alerts that are ultimately meaningless but require investigation anyway. Remarkably, respondents report that 53% of all alerts are false alarms. This represents a tremendous time sink that likely contributes to three in four respondents saying they are not fully satisfied with their network tooling.

For companies overwhelmed by data storage and a failure to obtain insight, it may be worth deploying observability agents on the edge where data is generated. Such agents can analyze data in real time, so networking teams can bypass the challenges associated with backhauling potentially unused raw data and obtain real-time insight for rapid issue detection and remediation.

Moving forward, it is essential for the people who build network observability tools to understand what networking teams need. This includes deep but dynamically defined data collection with meaningful insights, especially regarding network and application performance, network security, and the end-user experience.

Shannon Weyrick is VP of Research at NS1

Hot Topics

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

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
Cloudbrink's Personal SASE services provide last-mile acceleration and reduction in latency

In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ... 

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 ...

Image
Broadcom

From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...