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Optimizing Root Cause Analysis to Reduce MTTR

Ariel Gordon

Efficiently detecting and resolving problems is essential, of course, to continue supporting - and minimizing impact on - business services, as well as minimizing any financial impacts.

The goal is to turn the tables on IT problems so that 80 percent of the time is spent on the root cause analysis versus 20 percent on the actual problem fixing.

In resolving the issue, communication is a critical factor for integrating different expert groups towards a common goal. Because each team holds a narrow view of its own domain and expertise, there is always the danger lurking that the "big picture" angle will be missing. You don't want lack of communication to result in blame games and finger pointing.

Some problem detection methods include:

- Infrastructure Monitoring: specific resource utilization like disk, memory, CPU are effective for identifying availability failures – sometimes even heading those off before they happen.

- Domain or Application Tools: These help, but leave the issue that overall problem detection is still a game of hide-and-seek, a manually-intensive effort that comes under the pressure of needing a fix as quickly as possible.

- Dependency mapping tools, which map business services and applications to infrastructure components, can help you generate a topology map that will improve your root cause analysis process for the following reasons:

1. Connect Symptoms to Problems: A single map that relates a business service (user point of view) to its configuration items, will help you detect problems faster.

2. Common Ground: The map ties in all elements so that different groups can focus on a cross-domain effort.

3. High-Level, Cross-Domain View: Teams can view problems not only in the context of their domain, but in a wider view of all network components. For example, a database administrator analyzing a slow database performance problem can examine the topology map to see the effect of networking components on the database.

Root cause is a complex issue, so that no single tool or approach will provide you with full coverage. The idea is to plan a portfolio of tools that together deliver the most impact for your organization.

For instance, if you do not have a central event management console, then consider implementing a topology-based event management solution. If most of your applications involve online transactions, try to look for a transaction management product that covers the technology stack that is common in your environment. Put differently, select a combination of tools that are right for your environment.

Once you assess the tools that provide the most value, implement them in ascending order of value so that you get the biggest impact first.

Ariel Gordon is VP Products and Co-Founder of Neebula.

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Optimizing Root Cause Analysis to Reduce MTTR

Ariel Gordon

Efficiently detecting and resolving problems is essential, of course, to continue supporting - and minimizing impact on - business services, as well as minimizing any financial impacts.

The goal is to turn the tables on IT problems so that 80 percent of the time is spent on the root cause analysis versus 20 percent on the actual problem fixing.

In resolving the issue, communication is a critical factor for integrating different expert groups towards a common goal. Because each team holds a narrow view of its own domain and expertise, there is always the danger lurking that the "big picture" angle will be missing. You don't want lack of communication to result in blame games and finger pointing.

Some problem detection methods include:

- Infrastructure Monitoring: specific resource utilization like disk, memory, CPU are effective for identifying availability failures – sometimes even heading those off before they happen.

- Domain or Application Tools: These help, but leave the issue that overall problem detection is still a game of hide-and-seek, a manually-intensive effort that comes under the pressure of needing a fix as quickly as possible.

- Dependency mapping tools, which map business services and applications to infrastructure components, can help you generate a topology map that will improve your root cause analysis process for the following reasons:

1. Connect Symptoms to Problems: A single map that relates a business service (user point of view) to its configuration items, will help you detect problems faster.

2. Common Ground: The map ties in all elements so that different groups can focus on a cross-domain effort.

3. High-Level, Cross-Domain View: Teams can view problems not only in the context of their domain, but in a wider view of all network components. For example, a database administrator analyzing a slow database performance problem can examine the topology map to see the effect of networking components on the database.

Root cause is a complex issue, so that no single tool or approach will provide you with full coverage. The idea is to plan a portfolio of tools that together deliver the most impact for your organization.

For instance, if you do not have a central event management console, then consider implementing a topology-based event management solution. If most of your applications involve online transactions, try to look for a transaction management product that covers the technology stack that is common in your environment. Put differently, select a combination of tools that are right for your environment.

Once you assess the tools that provide the most value, implement them in ascending order of value so that you get the biggest impact first.

Ariel Gordon is VP Products and Co-Founder of Neebula.

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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 ...

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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 ...