This document describes TCP fundamentals, Wireshark deep packet analysis, and practical troubleshooting to optimize end-to-end performance.
Cisco recommends that you have knowledge of these topics:
The information in this document is based on these software and hardware versions:
Note: Any questions about the configuration and interoperability of third-party software or hardware are outside of Cisco support. The use of third-party tools is a best effort to demonstrate your configuration and operation with Cisco equipment.
The information in this document was created from the devices in a specific lab environment. All of the devices used in this document started with a cleared (default) configuration. If your network is live, ensure that you understand the potential impact of any command.
Transmission Control Protocol (TCP) is a fundamental transport-layer protocol that operates at Layer 4 of the OSI model and provides reliable, ordered, and error-checked delivery of a stream of bytes between applications communicating over an IP network.
The diagram represents the TCP/IP stack where a TCP segment (Layer 4) is encapsulated within an IP packet (Layer 3), and then inside an Ethernet frame (Layer 2) defined by IEEE 802.3. This layered approach ensures modular communication, where each layer adds its own control information (headers) to guarantee delivery, routing, and data integrity.

The Ethernet header is typically 14 bytes, composed of:
Additionally, Ethernet frames include a 4-byte Frame Check Sequence (FCS) trailer for error detection at Layer 2. IEEE 802.3 defines framing, minimum/maximum frame sizes, and physical delivery constraints that directly impact upper-layer protocols like TCP.
The IPv4 header has a minimum size of 20 bytes, extendable up to 60 bytes with options. Key fields include:
The IP layer is responsible for logical addressing and routing across networks, but it does not guarantee reliability.
The TCP header ranges from 20 to 60 bytes depending on options. Key fields include:
TCP adds reliable delivery, proper sequencing, and flow control to IP communication.
TCP options extend the base protocol. The most common include:
Both SYN and FIN flags each consume one sequence number, even when no payload is present. TCP operates using a byte-oriented sequencing model, where every byte transmitted—and specific control flags—advance the sequence space. This behavior is essential for accurate TCP analysis in packet captures and for diagnosing sequencing or acknowledgment inconsistencies.
ACK = SEQ + Payload Length + (SYN ? 1 : 0) + (FIN ? 1 : 0)
Where:
ACK calculation:
This reflects a scenario where data is sent during the TCP handshake. Both the payload and the SYN flag consume sequence space.
ACK calculation:
This shows that TCP can include data during connection teardown, and both the payload and FIN flag increment the sequence number.
The Maximum Segment Size (MSS) defines the maximum payload TCP can send in a segment.
If TCP options are present, MSS is reduced accordingly. MSS is negotiated during the TCP three-way handshake and prevents fragmentation at the IP layer.
The Maximum Segment Size (MSS) is exchanged during the TCP three-way handshake using the MSS option in SYN packets:
Each side is effectively saying:
This is the largest TCP payload accepted.
MSS is not negotiated as a single agreed value.
Instead:
Therefore:
In a correctly functioning TCP stack: No.
The Window Size defines how much data the receiver can accept without acknowledgment.
What it is:
Purpose:
Where to obtain it:
Vendor/OS Variability:
Zero Window Condition:
Variable Windows Mechanisms
Troubleshooting Use:
This section describes a practical methodology for diagnosing whether a Cisco Nexus switch running NX-OS is affecting TCP traffic forwarding or introducing performance issues. The approach is presented through a hypothetical scenario.
When TCP latency or performance degradation is observed, it is common to initially suspect that the network is causing it. However, this assumption must be validated through data-driven analysis. The authoritative method for TCP troubleshooting is packet capture, ideally performed:
This ensures visibility into the TCP three-way handshake, where critical parameters such as MSS, Window Scale, and SACK are negotiated and not repeated later in the session. If simultaneous captures are not possible, analysis can proceed with a single capture, but conclusions are limited.
Scenario Definition
A user has identified that the backup process for an application dataset of approximately 7.5 TB, which previously completed in about 9 hours, is now taking nearly 21 hours. Although TCP sessions between the client and the server are still established successfully, the significant increase in backup duration suggests a potential degradation in throughput or overall TCP performance. Because the Nexus switch is the only network device in the path and also provides Layer 3 gateway functionality, the network administrator suspects that the Nexus switch is the cause of the problem.

Linux: ping -c 10 -I 10.93.19.8 -s 1472 -M do 10.91.2.35
Windows: ping -n 10 -l 1472 -f 10.91.2.35
Why 1472 Bytes?
What Can Be Concluded
How to Use This for Troubleshooting
Practical Relevance to TCP
To effectively troubleshoot TCP performance on a Cisco Nexus 9000 switch, it is essential to determine which interfaces are receiving and forwarding the traffic between the source and destination.
In simple topologies, this can be inferred directly from the physical connections. For example, if the client is connected to Ethernet1/1 and the server to Ethernet1/2, the traffic path is straightforward. However, in real-world environments with multiple active interfaces, port-channels, or vPC configurations, this identification is not always trivial.
In such cases, the recommended approach is to use Embedded Logic Analyzer Module (ELAM), which provides visibility at the ASIC (data-plane hardware) level.
ELAM allows you to capture a packet as it is processed by the forwarding pipeline and reveals critical information such as:
This method is significantly more accurate than relying on control-plane tools, as it reflects the actual hardware forwarding path.
It is important to note that ELAM captures only one packet at a time, so the filtering criteria must be precisely defined to match the desired traffic (for example, source IP, destination IP, TCP port). If filters are too broad, there is a risk of capturing unrelated traffic such as ICMP or UDP instead of the intended TCP flow.
Additionally, this process must be repeated for both traffic directions:
In environments using vPC or ECMP, traffic can be load-balanced across multiple paths. As a result, forward and return traffic can traverse different switches or interfaces. In these scenarios, ELAM must be executed on each relevant Nexus switch to ensure complete visibility.
By accurately identifying ingress and egress interfaces, the scope of troubleshooting is significantly reduced, enabling focused validation of interface counters, QoS policies, MTU settings, and potential congestion points along the exact forwarding path.
This example filters traffic with source IP 10.93.19.8, destination IP 10.91.2.35, and TCP destination port 445.
ELAM Setup
switch# debug platform internal tah elam
switch(TAH-elam)# trigger init
Slot 1: param values: start asic 0, start slice 0, lu-a2d 1, in-select 6, out-select 0
switch(TAH-elam-insel6)# set outer ipv4 src_ip 10.93.19.8
switch(TAH-elam-insel6)# set outer ipv4 dst_ip 10.91.2.35
switch(TAH-elam-insel6)# set outer l4 l4-type 0
switch(TAH-elam-insel6)# set outer l4 dst-port 445
switch(TAH-elam-insel6)# start
After generating the traffic, retrieve the result:
switch(TAH-elam-insel6)# report
Reverse Traffic Capture (Mandatory for Full Visibility)
To validate the return path, repeat the configuration by swapping source and destination IP addresses:
switch# debug platform internal tah elam
switch(TAH-elam)# trigger init
Slot 1: param values: start asic 0, start slice 0, lu-a2d 1, in-select 6, out-select 0
switch(TAH-elam-insel6)# set outer ipv4 dst_ip 10.93.19.8
switch(TAH-elam-insel6)# set outer ipv4 src_ip 10.91.2.35
switch(TAH-elam-insel6)# set outer l4 l4-type 0
switch(TAH-elam-insel6)# set outer l4 dst-port 445
switch(TAH-elam-insel6)# start
Operational Notes
Cisco Nexus 9000 Cloud Scale ASIC ELAM Guide
Interface-level validation ensures that the Nexus switch is not introducing any constraints or anomalies affecting TCP traffic. The focus is to confirm that configuration, operational state, and hardware counters are consistent with expected behavior for high-performance data-plane forwarding.
Configuration Validation
switch# show running-config interface ethernet1/1-2 | include access-group
switch#show running-config interface ethernet1/1-2 | include service-policyswitch#show policy-map interface ethernet1/1-2
switch# show policy-map
switch# show class-map
switch# show class-map type network-qos
switch# show policy-map type network-qos
switch#show policy-map system type network-qos
switch# show queuing interface ethernet1/1-2
switch# show policy-map type queuing
switch#show running-config interface ethernet1/1-2
switch#show interface ethernet1/1-2 switchport
switch#show spanning-tree interface ethernet1/1-2
switch# show ip interface ethernet1/1-2
Operational State Validation
switch#show interface ethernet1/1-2 | include MTU
switch#show interface ethernet1/1-2 | include speed|duplex
switch#show interface ethernet1/1-2 | include rate|flap
Error Counter Validation
switch#clear counters interface all
switch#show interface counters errors non-zero | include Port|Eth1/1|Eth1/2
Post-Test Validation
switch#show interface counters errors non-zero | include Port|Eth1/1|Eth1/2
Ensuring routing and ARP stability is critical to confirm that the Nexus switch has consistent Layer 3 reachability and is not introducing intermittent resolution issues that could impact TCP performance. Instability in routing entries or ARP resolution can lead to packet loss, increased latency, or traffic blackholing.
Validation Criteria
switch# show ip route 10.93.19.8
switch# show ip route 10.91.2.35
switch# show ip arp detail | include 10.93.19.8
switch# show ip arp detail | include 10.91.2.35
In Cisco Nexus 9000 switches, forwarding is performed in hardware (ASIC), and the CPU is not involved in normal data-plane operations. Therefore, observing host-to-host TCP traffic in the control-plane is abnormal and indicates that packets are being punted due to exceptions or misconfigurations. Once traffic must be processed by the CPU, it becomes subject to Control Plane Policing, and it is expected that drops can be observed if the traffic exceeds the allowed control-plane rate.
Validation Method
switch# ethanalyzer local interface inband display-filter "ip.addr==10.93.19.8 and ip.addr==10.91.2.35" limit-capture 0
Expected Behavior
Unexpected Behavior
Packet forwarding latency in Nexus 9000 switches depends on packet size, forwarding mode, and enabled features. Cisco specifications typically reference latency for 64-byte packets under cut-through forwarding.
+----------------------+----------------------+-------------------------+-------------------------------+
| Switch Model | ASIC / Architecture | Ports (example config) | Typical Forwarding Latency |
| | | | (64B packet) |
+----------------------+----------------------+-------------------------+-------------------------------+
| Nexus 93180YC-EX | Cloud Scale (EX) | 48x25G + 6x100G | ~1.0 – 1.2 microseconds |
| Nexus 93180YC-FX | Cloud Scale (FX) | 48x25G + 6x100G | ~0.9 – 1.0 microseconds |
| Nexus 93180YC-FX2 | Cloud Scale (FX2) | 48x25G + 6x100G | ~0.8 – 0.9 microseconds |
| Nexus 9364C | Cloud Scale | 64x100G | ~1.0 microsecond |
| Nexus 9336C-FX2 | Cloud Scale (FX2) | 36x100G | ~0.8 microseconds |
| Nexus 93240YC-FX2 | Cloud Scale (FX2) | 48x25G + 12x100G | ~0.8 – 0.9 microseconds |
| Nexus 92300YC | Broadcom Trident II | 48x10/25G + 6x40/100G | ~2 – 3 microseconds |
| Nexus 92160YC-X | Broadcom Tomahawk | 48x25G + 6x100G | ~2 microseconds |
+----------------------+----------------------+-------------------------+-------------------------------+
Additional features can introduce incremental latency:
However:
The only realistic scenario where latency increases noticeably is congestion:
Even in these cases:
This enables mirroring of data-plane traffic into the control-plane for packet capture and export to a .pcapng file, allowing detailed analysis in Wireshark.
Configuration
monitor session 1
source interface ethernet1/1 both
source interface ethernet1/2 both
destination interface sup-eth0
no shut
Capture Execution
switch# ethanalyzer local interface inband mirror capture-filter "tcp port 445" limit-capture 0 write bootflash:tcp_capture.pcapng
Technical Considerations
| Method | Advantage | Limitation |
|---|---|---|
| SPAN |
Accurate, no encapsulation |
Requires physical connection. |
| ERSPAN |
Remote capture capability |
Susceptible to network congestion. |
To ensure SPAN-to-CPU captures are reliable, it is necessary to validate that the control-plane is not dropping mirrored packets due to rate limiting.
Validation Command
switch(config)# show hardware rate-limiter | i Allowed|span
Allowed, Dropped & Total: aggregated bytes since last clear counters
R-L Class Config Allowed Dropped Total
span 50 0 0 0 <<<
span-egress disabled 0 0 0
Validation Methodology
Interpretation
If drops are observed, the capture method must be changed to SPAN or ERSPAN.
ICMP testing provides a baseline validation of data-plane integrity before performing complex TCP analysis. Because ICMP is stateless and simpler, it allows quick detection of packet loss, duplication, or path inconsistencies.
Expected Behavior in SPAN Capture
This confirms correct forwarding and absence of packet loss in the data-plane.
Abnormal Behavior
If ICMP traffic is consistently forwarded without loss, there is a high probability that TCP traffic is also being forwarded correctly at Layer 2/3.
When traffic is captured using SPAN to CPU (or SPAN/ERSPAN), each packet can be observed twice: once on ingress and once on egress. This duplication can be used to estimate the forwarding latency introduced by the Nexus switch by calculating the time difference between both instances of the same packet.
In practice, this latency can be measured using the previously captured ICMP traffic by comparing the time delta between duplicated Echo Request and Echo Reply packets. This provides a simple and effective baseline for switch forwarding performance. If deeper analysis is required, the same methodology can be applied to TCP traffic by capturing the flow and measuring the time difference between duplicated TCP packets.
Methodology
Wireshark Configuration
View > Time Display Format > Seconds Since Previous Displayed Packet
Right-click on "Time Delta from Previous Displayed Packet" → Apply as Column
ip.addr==10.93.19.8 and ip.addr==10.91.2.35 and tcp
Right-click packet → Follow → TCP Stream
Interpretation
This section provides a detailed methodology for analyzing a TCP packet capture in Wireshark, including the profile configuration, through the hypothetical case described previously. The images shown were taken directly from Wireshark. As a reminder, the scenario is:
A user has identified that the backup process for an application dataset of approximately 6.5 TB, which previously completed in about 9 hours, is now taking nearly 21 hours. The only accessible network device is a Cisco Nexus 9300 switch connected to the source server (10.93.19.8). The MTU configured on the switch interface is 9000 bytes (jumbo frames), while the MTU on the server is unknown. A packet capture from the source server is available, and all prior Nexus validation steps have already been completed with no anomalies detected.
Key Observations and Constraints
In Wireshark, you can create custom profiles tailored to the specific type of analysis you want to perform.
Column Description
Capturing the TCP three-way handshake is mandatory because it contains critical parameters such as MSS, Window Scale, and SACK that define how the session behaves.
Without this information, any TCP analysis is incomplete and can lead to incorrect conclusions about performance or root cause.

From the packet capture:
The initial RTT (iRTT) is calculated as:
This value is derived from:
The majority of latency (~94%) is in the forward path (client → server → client), while the response time from the source is minimal, indicating no CPU or application delay on the client.
Port 445 corresponds to Microsoft Server Message Block (SMB), commonly used for file sharing, network drives, and Windows authentication services. This protocol is sensitive to both latency and throughput, making it highly dependent on TCP efficiency and network stability.
The TCP window represents how much data can be sent before waiting for acknowledgment. In this case, the source is slightly more restrictive than the destination. These values are relatively small for modern environments and can limit throughput, especially as RTT increases.
The maximum theoretical throughput can be estimated using:
Throughput = TCP Window Size / RTT
Substituting the observed values:
Throughput ≈ 64,240 / 0.000798 ≈ 80.5 MB/s (~644 Mbps)
This represents the upper bound throughput assuming:
At the current throughput of 644 Mbps, transferring a 6.5 TB file takes approximately 23.5 hours, which aligns with the observed degradation. To achieve a 9-hour transfer window, the throughput must increase to approximately 1.68 Gbps, requiring either a larger TCP window (~2.7x increase) or a significantly lower RTT (~291 µs).
With current conditions (64 KB window and ~798 µs RTT), it is not possible to reach the 9-hour objective, because TCP throughput is constrained by the bandwidth-delay product. Without increasing the window size or reducing latency, the protocol cannot utilize higher available bandwidth, making the target unattainable.
| Scenario | Throughput | Estimated Transfer Time (6.5 TB) | Required TCP Window | Required RTT |
|---|---|---|---|---|
| Current State |
644 Mbps (~80.5 MB/s) |
~23.5 hours |
64 KB |
798 µs |
| Target (9 hours) |
~1683 Mbps (~210 MB/s) |
9 hours |
~172 KB |
~291 µs |
This worked previously, indicating that a change occurred in the network, the application, the source, or the destination. It is important to note that, based on this initial analysis alone, a significant conclusion can already be established: under the current TCP window size and RTT conditions, achieving the 9-hour objective is not possible.
The tables show a comparison of how throughput varies as RTT and TCP window size increase or decrease.
RTT Impact on Throughput (Fixed Window Size = 64,240 bytes)
| RTT | Throughput (MB/s) | Throughput (Mbps) |
|---|---|---|
| 200 µs (0.0002 s) |
~321 MB/s |
~2,568 Mbps |
| 798 µs (0.000798 s) |
~80.5 MB/s |
~644 Mbps |
| 2 ms (0.002 s) |
~32.1 MB/s |
~257 Mbps |
| 10 ms (0.01 s) |
~6.4 MB/s |
~51 Mbps |
TCP Window Size Impact (Fixed RTT = 798 µs)
| TCP Window Size | Throughput (MB/s) | Throughput (Mbps) |
|---|---|---|
| 16 KB (16,384 B) |
~20.5 MB/s |
~164 Mbps |
| 64 KB (64,240 B) |
~80.5 MB/s |
~644 Mbps |
| 256 KB (262,144 B) |
~328 MB/s |
~2,624 Mbps |
| 1 MB (1,048,576 B) |
~1,314 MB/s |
~10.5 Gbps |
Technical Interpretation
This demonstrates that both RTT and TCP window size are critical factors in TCP performance and must be analyzed together when troubleshooting throughput issues.
A 20-byte IP header indicates no IP options are present. The 32-byte TCP header confirms that TCP options are being used, adding 12 bytes beyond the base header. These options typically include MSS, Window Scale, and SACK Permitted.
Selective Acknowledgment (SACK) is enabled on both endpoints. This is not visible in the picture. SACK allows the receiver to acknowledge non-contiguous blocks of data, informing the sender exactly which segments were received successfully.
For example, if segments 1000–2000 and 3000–4000 are received but 2000–3000 is missing, the receiver can indicate this explicitly. Without SACK, the sender would retransmit all data after the gap; with SACK, only the missing portion is retransmitted. This significantly improves performance in environments with packet loss.
Packet 1 (SYN) Analysis
Wireshark normalizes the sequence number to zero for readability, although in practice it is a large random value. The absence of payload is expected during connection establishment. The MSS value of 1460 bytes indicates an MTU of 1500 bytes (20 bytes IP header + 20 bytes TCP header). A TTL of 128 can be a Windows-based host, and seeing this value in the capture indicates the capture was likely taken at or very near the source via Layer 2.
Packet 2 (SYN-ACK) Analysis
The ACK value is 1 because the SYN flag consumes one sequence number, even when no payload is present. Therefore, ACK = SEQ + 1.
The observed TTL of 59 suggests an initial TTL of 64, meaning the packet traversed approximately 5 routing hops (64 − 59 = 5). Each routed hop decrements the TTL by one.
Fragmentation Risk and Network Impact
The presence of approximately five routing hops introduces potential performance risks, particularly related to MTU mismatches and fragmentation.
If any intermediate link has a lower MTU than the original packet size, fragmentation can occur. This leads to several consequences:
Given these factors, it is critical to ensure consistent MTU across the path or implement MSS clamping where necessary.
When ACK RTT is greater than iRTT, it indicates that latency has increased compared to the baseline established during the TCP handshake.
This means the network or endpoints are introducing additional delay during the session, commonly due to:
If this condition persists throughout the TCP session, it leads to:
In Wireshark, it is possible to visualize how often the condition ACK RTT > iRTT occurs by using the I/O Graphs feature under: Statistics → I/O Graphs, applying the display filter (tcp.analysis.ack_rtt > tcp.analysis.initial_rtt), selecting Impulse style, setting the Y Axis to Packets, and using an interval of 50 microseconds.
In the graph, the purple impulses represent the number of packets that meet this condition within each 50-microsecond interval. As observed, this condition persists throughout the entire packet capture, indicating that latency during the session is consistently higher than the initial baseline. This behavior strongly suggests sustained performance degradation rather than a transient condition, reinforcing the need to investigate potential sources such as congestion, buffering, or endpoint processing delays across the end-to-end path.

It is also important to determine for how long the iRTT is being exceeded, not just how often. While Wireshark does not directly allow subtraction between fields, a visual comparison can be achieved using I/O Graphs:
In this visualization, the purple graph represents the condition ACK RTT > iRTT, which is consistently present throughout the entire TCP session. The data shows sustained latency inflation, with multiple peaks reaching 11 milliseconds and a maximum spike of over 100 milliseconds, representing 11x to 100x the baseline iRTT.
This behavior confirms that the latency increase is not transient but persistent, indicating a systemic issue affecting the session over time. Such sustained deviation strongly suggests factors like network congestion, buffering (bufferbloat), or endpoint processing delays.

This section evaluates TCP reliability by analyzing retransmissions over time, allowing validation of whether packet loss is contributing to performance degradation.
The graph shows the distribution of TCP retransmissions over time. A total of 42 retransmissions were observed, representing only 0.00125% of the total traffic.
This level of retransmissions is negligible and clearly indicates that packet loss is not a contributing factor in this scenario.
Wireshark Configuration (TCP Retransmissions)
Statistics → I/O Graphs
tcp.analysis.retransmission and !tcp.analysis.spurious_retransmission
The graph shows the number of TCP Spurious Retransmissions in 1 sec intervals generated by the source 10.93.19.8.
In Wireshark, a TCP Spurious Retransmission indicates that a host retransmitted a segment that was not actually lost. The original packet successfully reached the receiver, but the sender incorrectly assumed loss due to inaccurate timing estimation. This behavior does not indicate real packet loss, but rather inefficient retransmission logic at the sender.
In this capture:
This confirms that the retransmission behavior is entirely controlled by the source TCP stack, not by the network.
The total number of spurious retransmissions observed is 1,112, representing 0.0332% of the total captured traffic.
Wireshark Configuration (TCP Spurious Retransmissions)
Statistics → I/O Graphs
tcp.analysis.spurious_retransmission and ip.src==10.93.19.8
Technical Interpretation
This analysis further reinforces that the issue is not related to network reliability, but rather to TCP behavior, latency, or endpoint performance.

The graph shows the effective throughput, calculated based on TCP payload (actual data transferred) in Megabits per second. The observed throughput oscillates primarily between 600 Mbps and 800 Mbps, indicating that while the network is actively transferring data, it is not reaching higher bandwidth potential.
Wireshark Configuration (Effective Throughput)
Statistics → TCP Streams Graphs → Throughout

Technical Interpretation
The graph highlights a critical behavior in the TCP session by comparing the receiver capacity versus the actual data in transit (bytes in flight).

The observed Data in Flight peaks at approximately 1 MB, with additional peaks around 8 KB and 5 KB, but it is primarily concentrated between 1 KB and 250 KB.
This indicates that although the receiver is capable of handling larger volumes of data, the sender is not consistently utilizing the available window.
Wireshark Configuration (Data in Flight vs Window)
Statistics → TCP Streams Graphs → Throughout
Technical Interpretation
Analyzing TCP payload size against MSS over time helps determine whether the sender is efficiently utilizing each TCP segment. This analysis is performed from the perspective of the source IP address (10.93.19.8).
In Wireshark, the graphs are configured as follows:
From the analysis:

This analysis demonstrates that identifying the root cause of TCP performance issues requires a holistic, end-to-end approach, rather than assuming the network is the primary source of degradation.
Extensive validation was performed on the Cisco Nexus 9300 switch, including interface counters, QoS policies, routing and ARP stability, CPU punt verification, SPAN-based packet capture, and ASIC-level forwarding validation using ELAM. All results consistently confirmed that the switch was operating within expected parameters:
Additionally, TCP analysis revealed:
The performance degradation is caused by the source server operating with MTU 1500 in a jumbo-capable environment, preventing efficient use of the available network capacity.
Increase the MTU on the source server from 1500 to 9000 bytes to align with the destination and network infrastructure. The benefits:
A key takeaway from this analysis is the importance of avoiding premature conclusions when troubleshooting network performance. While it is common to initially attribute issues to the network, this case clearly demonstrates that the network was functioning correctly throughout the entire data-plane path. Only by performing deep TCP analysis from both the source and destination perspectives—including handshake parameters, RTT behavior, window utilization, retransmissions, and payload efficiency—was it possible to accurately identify the true bottleneck.
Taking the time to analyze TCP behavior in detail prevents misdiagnosis, reduces unnecessary network changes, and ensures that remediation efforts are directed at the actual root cause.
| Revision | Publish Date | Comments |
|---|---|---|
2.0 |
07-May-2026
|
Updated Title per Author Request. |
1.0 |
06-May-2026
|
Initial Release |