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Fault Domain Isolation Key to Avoiding Network Blame Game - Part 2

Jeff Brown

Start with Part 1 of this Blog

What’s the Hold Up?

It always reduces costs and decreases time-to-resolution when root cause analysis is being done in earnest, with confidence (and perhaps a bit of guilt) that the problem simply cannot lay elsewhere. RCA works best when the people working on the problem have the expertise to properly evaluate the cause and resolve the problem.

In Part 1 of this Blog, I explained how a packet-driven FDI process is an effective way to accelerate incident investigations and reduce the number of people involved. Further, to achieve its primary goal of getting only the right people involved in the incident investigation, we know it doesn’t take a lot of taps and equipment to isolate the major technology tiers. So why do team-of-expert meetings still persist in so many major incident investigations?

The problem might be that some simply do not believe that complex incidents can be fully resolved with just a few taps and some network recorders. And you know what, they’re right! But that isn’t the goal of the FDI stage of the incident investigation process. The goal is fault isolation, and that can be done simply and reliably. All you need is the underlying packets and a process to analyze them.

Divide and Conquer

The primary or first-layer FDI process isolates the incident to a single technology tier as defined by the organization’s internal structure and outsourcing arrangement.

Primary FDI is best achieved by:

1. Using network recording tools to monitor and store the network traffic occurring between technology tiers

2. Applying application transaction analysis to perform fault isolation.

Packet storage (rather than just averages or summaries) is key to enabling the back-in-time analysis upon which efficient FDI depends.

As you’ve probably guessed, FDI is a divide and conquer process that can be deployed in layers. FDI can also be used within each tier to further isolate the problem until highly efficient RCA can be done. This can be called intra-tier FDI, or perhaps secondary FDI.

Not surprisingly, network incident investigations are particularly amenable to a secondary FDI workflow, and once again, this is best achieved by monitoring and storing the actual packet flows between key network components for efficient back-in-time analysis.

It is valid to ask where the network tap points and network recording tools should be deployed when intra-network FDI is the goal. The main difference between primary FDI and intra-network FDI is that the location of the observation points is less an organizational issue, and more about physical location, technology, staff expertise, and of course, level of outsourcing and external suppliers. But the FDI process is similar: use packet-based analysis to provide irrefutable evidence as to which technology or service provider is at fault, and which are not.

Always-On or Always-Available?

You do not want to wait for a major incident to occur before you start deploying the tap points and monitoring tools needed for performing FDI -- that would defeat its purpose. So it seems pretty clear that the tap points and network recording tools needed for primary or first-level FDI should be deployed and running all the time. Those are your always-on appliances.

But what about secondary or intra-technology FDI? What about remote sites, regional data centers, and non-critical applications? You can’t tap everywhere, nor can you store everything.

Fortunately many network recording tools have been built to satisfy the needs of the always-on recording required between primary technology tiers, and the “always-available” recording connected via Network Packet Brokers to a plethora of secondary tap points. Always-available appliances do not necessarily give you long-term back-in-time visibility, but they can be quickly configured to begin monitoring where needed, on demand, tuned to the specific visibility needs of the incident investigation underway.

How Simple Is It?

So, is FDI truly as simple as we’ve described? Well, yes and no. Obviously there are plenty of unusual, complex, and just plain bizarre problems that can appear in a system as complex and dynamic as a modern organization’s networked business application infrastructure. And these types of problems will always require deep investigation, and the skills and knowledge of specialists and experts to resolve. But that doesn’t render FDI irrelevant or ineffective for these complex issues. Indeed it makes the need for a rigorous, repeatable, data-driven FDI process all the more important. Put another way, for complex problems why wouldn’t you use a proven divide and conquer approach like FDI?

Jeff Brown is Global Director of Training, NVP at Emulex.

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Fault Domain Isolation Key to Avoiding Network Blame Game - Part 2

Jeff Brown

Start with Part 1 of this Blog

What’s the Hold Up?

It always reduces costs and decreases time-to-resolution when root cause analysis is being done in earnest, with confidence (and perhaps a bit of guilt) that the problem simply cannot lay elsewhere. RCA works best when the people working on the problem have the expertise to properly evaluate the cause and resolve the problem.

In Part 1 of this Blog, I explained how a packet-driven FDI process is an effective way to accelerate incident investigations and reduce the number of people involved. Further, to achieve its primary goal of getting only the right people involved in the incident investigation, we know it doesn’t take a lot of taps and equipment to isolate the major technology tiers. So why do team-of-expert meetings still persist in so many major incident investigations?

The problem might be that some simply do not believe that complex incidents can be fully resolved with just a few taps and some network recorders. And you know what, they’re right! But that isn’t the goal of the FDI stage of the incident investigation process. The goal is fault isolation, and that can be done simply and reliably. All you need is the underlying packets and a process to analyze them.

Divide and Conquer

The primary or first-layer FDI process isolates the incident to a single technology tier as defined by the organization’s internal structure and outsourcing arrangement.

Primary FDI is best achieved by:

1. Using network recording tools to monitor and store the network traffic occurring between technology tiers

2. Applying application transaction analysis to perform fault isolation.

Packet storage (rather than just averages or summaries) is key to enabling the back-in-time analysis upon which efficient FDI depends.

As you’ve probably guessed, FDI is a divide and conquer process that can be deployed in layers. FDI can also be used within each tier to further isolate the problem until highly efficient RCA can be done. This can be called intra-tier FDI, or perhaps secondary FDI.

Not surprisingly, network incident investigations are particularly amenable to a secondary FDI workflow, and once again, this is best achieved by monitoring and storing the actual packet flows between key network components for efficient back-in-time analysis.

It is valid to ask where the network tap points and network recording tools should be deployed when intra-network FDI is the goal. The main difference between primary FDI and intra-network FDI is that the location of the observation points is less an organizational issue, and more about physical location, technology, staff expertise, and of course, level of outsourcing and external suppliers. But the FDI process is similar: use packet-based analysis to provide irrefutable evidence as to which technology or service provider is at fault, and which are not.

Always-On or Always-Available?

You do not want to wait for a major incident to occur before you start deploying the tap points and monitoring tools needed for performing FDI -- that would defeat its purpose. So it seems pretty clear that the tap points and network recording tools needed for primary or first-level FDI should be deployed and running all the time. Those are your always-on appliances.

But what about secondary or intra-technology FDI? What about remote sites, regional data centers, and non-critical applications? You can’t tap everywhere, nor can you store everything.

Fortunately many network recording tools have been built to satisfy the needs of the always-on recording required between primary technology tiers, and the “always-available” recording connected via Network Packet Brokers to a plethora of secondary tap points. Always-available appliances do not necessarily give you long-term back-in-time visibility, but they can be quickly configured to begin monitoring where needed, on demand, tuned to the specific visibility needs of the incident investigation underway.

How Simple Is It?

So, is FDI truly as simple as we’ve described? Well, yes and no. Obviously there are plenty of unusual, complex, and just plain bizarre problems that can appear in a system as complex and dynamic as a modern organization’s networked business application infrastructure. And these types of problems will always require deep investigation, and the skills and knowledge of specialists and experts to resolve. But that doesn’t render FDI irrelevant or ineffective for these complex issues. Indeed it makes the need for a rigorous, repeatable, data-driven FDI process all the more important. Put another way, for complex problems why wouldn’t you use a proven divide and conquer approach like FDI?

Jeff Brown is Global Director of Training, NVP at Emulex.

Hot Topics

The Latest

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 ...

Today, organizations are generating and processing more data than ever before. From training AI models to running complex analytics, massive datasets have become the backbone of innovation. However, as businesses embrace the cloud for its scalability and flexibility, a new challenge arises: managing the soaring costs of storing and processing this data ...

Despite the frustrations, every engineer we spoke with ultimately affirmed the value and power of OpenTelemetry. The "sucks" moments are often the flip side of its greatest strengths ... Part 2 of this blog covers the powerful advantages and breakthroughs — the "OTel Rocks" moments ...

OpenTelemetry (OTel) arrived with a grand promise: a unified, vendor-neutral standard for observability data (traces, metrics, logs) that would free engineers from vendor lock-in and provide deeper insights into complex systems ... No powerful technology comes without its challenges, and OpenTelemetry is no exception. The engineers we spoke with were frank about the friction points they've encountered ...

Enterprises are turning to AI-powered software platforms to make IT management more intelligent and ensure their systems and technology meet business needs for efficiency, lowers costs and innovation, according to new research from Information Services Group ...