The countdown to Elevate 2026 is on. Join us in Chicago, London, or Sydney.

Register here

Partners

Docs

LM Academy

LM Community

Platform

Solutions

Pricing

Resources

Company

Platform
  • Infrastructure
  • Cloud & Multi-Cloud
  • Log Management
  • Edwin AI
Solution
  • Automation
  • Tool Consolidation
  • Reduce MTTR
  • Cost Optimization
Industry
  • Healthcare
  • Financial Services
  • Public Sector
  • MSP
Role
  • CIO
  • ITOps
  • CloudOps
  • AIOps
There is no result.
Try it free

14-day access to the full LogicMonitor platform

Explore Platform

One platform, one system for observability, intelligence, and action.

Agentic AIOps

Infrastructure Observability

Cloud Observability

Internet Performance Monitoring

Digital Experience Monitoring

Log Management

3000+ Integrations
3000+ Integrations

Agentic AIOps Overview

Autonomously detect, diagnose, and resolve issues across your environment.

Meet Edwin AI

Turn fragmented cross-domain event noise into explainable, guided action.

AI Agent

Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

Compress raw alert storms into high-fidelity, prioritized insights.

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

NEW

Unify topology, telemetry, and changes into an AI-ready context layer.

MCP

NEW

Establish traceable, secure governance boundaries for AI tool integrations.

Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

Network Monitoring

Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Cloud Cost Optimization

Optimize cloud spend, maintain performance, and control budgets.

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points to independently validate internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time-to-innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

Log Management Overview

Centralize and correlate log data to resolve incidents before they escalate.

Log Analytics & Intelligence

Correlate contextual log data with metrics to speed up root-cause analysis.

WebPageTest Web Performance

Test, compare, and optimize website speed, Core Web Vitals, and performance across real devices and global locations.

Learn more
Explore Solutions

Proactively manage modern hybrid environments with predictive insights, intelligent automation, and full-stack observability.

By Business Outcome

By Role

By Industry

Professional Services

Autonomous IT

Predictive, autonomous IT built

for resilience.

Automation

Eliminate operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-rooms by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

CIO

Maximize enterprise resilience and align AI investments to measurable business ROI.

AIOps

Compress cross-domain event noise into explainable, automated ops leverage.

DevOps

Speed up releases by protecting engineering roadmaps from toil.

ITOps

Standardize incident response to reduce alert fatigue and after-hours work.

CloudOps

Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

Financial Services

Secure transaction trust and meet strict resilience compliance requirements.

Why LogicMonitor?

Discover why leading IT teams trust us to unify hybrid observability and eliminate tool sprawl.

Learn more
Explore Resources

Check out our resource library for IT pros, featuring expert guides, strategies, and insights for smarter, AI-driven operations.

Resources

Upcoming Events

Platform Help

Blog

Insights and advice from the experts on all things observability and AI.

Case Studies

See what real users have to say about the LogicMonitor platform.

Webinars

Live and on-demand learning, all in one place.

IT Guides

Learn from expert guides on the topics that matter most to IT teams.

How We Compare

See how our platform stacks up against other solutions.

Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky
CONFERENCE

Digital X Cologne

September 8, 2026

Cologne

CONFERENCE

SWORD Day

September 17, 2026

Geneva

View all events

Join us at innovation-focused conferences, tech talks, webinars, and other events.

Support Docs

Access product docs, release notes, and support resources.

LM Community

Join the community to learn from peers, ask questions, and connect with experts.

Customer Education

Learn more about our platform through resources and live trainings.

2026 The Year of Autonomous IT

NEW

Discover the trends, benchmarks, and strategies driving the industry shift to Autonomous IT.

Read the report
About LogicMonitor

Our observability platform proactively delivers the insights and automation CIOs need to accelerate innovation.

Leadership

Meet the leaders building the future of observability and AI.

Our Customers

See the proof of how IT teams win with LogicMonitor.

Careers

Find job openings and learn about our employee benefits.

Newsroom

Stay current with our latest mentions, press releases, and events.

Culture

NEW

Join a collaborative, values-driven culture built on innovation and growth.

Security

Purpose-built security for the hybrid observability and AI era.

Contact & Locations

Connect with our experts to explore AI-powered observability solutions.

Sustainability

Our commitment to the environment and the people in it.

The countdown to Elevate 2026 is on. Join us in Chicago, London, or Sydney.

Register here
Try it free

Platform

Explore Platform

One platform, one system for observability, intelligence, and action.

Agentic AIOps

Infrastructure Observability

Cloud Observability

Internet Performance Monitoring

Digital Experience Monitoring

Log Management

3000+ Integrations

WebPageTest Web Performance

Test, compare, and optimize website speed, Core Web Vitals, and performance across real devices and global locations.

Solutions

Explore Solutions

Proactively manage modern hybrid environments with predictive insights, intelligent automation, and full-stack observability.

By Business Outcome

By Role

By Industry

Professional Services

Why LogicMonitor?

Discover why leading IT teams trust us to unify hybrid observability and eliminate tool sprawl.

Pricing

Resources

Explore Resources

Check out our resource library for IT pros, featuring expert guides, strategies, and insights for smarter, AI-driven operations.

Resources

Upcoming Events

Platform Help

NEW

2026 The Year of Autonomous IT

Discover the trends, benchmarks, and strategies driving the industry shift to Autonomous IT.

Company

About LogicMonitor

Our observability platform proactively delivers the insights and automation CIOs need to accelerate innovation.

Leadership

Meet the leaders building the future of observability and AI.

Careers

Find job openings and learn about our employee benefits.

Culture

NEW

Join a collaborative, values-driven culture built on innovation and growth.

Contact & Locations

Connect with our experts to explore AI-powered observability solutions.

Our Customers

See the proof of how IT teams win with LogicMonitor.

Newsroom

Stay current with our latest mentions, press releases, and events.

Security

Purpose-built security for the hybrid observability and AI era.

Sustainability

Our commitment to the environment and the people in it.

Partners

Docs

LM Academy

LM Community

Agentic AIOps

Agentic AIOps Overview

Autonomously detect, diagnose, and resolve issues across your environment.

Meet Edwin AI

Turn fragmented cross-domain event noise into explainable, guided action.

AI Agent

Deploy specialized AI agents to handle investigation across the incident lifecycle.

Event Intelligence

Compress raw alert storms into high-fidelity, prioritized insights.

AI Automation

Execute governed, closed-loop remediation across automation playbooks.

ITOps Context Graph

NEW

Unify topology, telemetry, and changes into an AI-ready context layer.

MCP

NEW

Establish traceable, secure governance boundaries for AI tool integrations.

Infrastructure Observability

Infrastructure Observability Overview

Full visibility across your entire hybrid estate to eliminate tool sprawl.

Network Monitoring

Accelerate time to innocence with deep network path and device visibility.

Server Monitoring

Track server health, OS metrics, and resource utilization across environments.

Remote Monitoring

Monitor distributed endpoints, branch networks, and remote facility health.

VM Monitoring

Maximize hypervisor performance and streamline compute capacity planning.

SD-WAN Monitoring

Keep multi-site cloud networks connected with real-time edge visibility.

Database Monitoring

Pinpoint database query bottlenecks to keep business applications fast.

Configuration Monitoring

Minimize change failure rates by tracking device configuration drift.

Storage Monitoring

Track SAN/NAS arrays, IOPS bottlenecks, and storage capacity trends.

Cloud Observability

Cloud Observability Overview

Multi-cloud and hybrid environments unified into a single operational pane.

Container Monitoring

Automated, real-time visibility for Kubernetes and ephemeral microservices.

AWS Monitoring

Track AWS services, scaling, and costs alongside on-premises data.

Google Cloud Monitoring

Monitor native GCP infrastructure, compute, and serverless resources.

Azure Monitoring

Comprehensive visibility into Azure environments, gateways, and workloads.

AI Monitoring

Track LLM infrastructure, GPU utilization, and AI application stack health.

Oracle Cloud Monitoring

Track OCI native compute, enterprise databases, and cloud storage.

SaaS Monitoring

Validate availability and workforce productivity for critical SaaS apps.

Cloud Cost Optimization

Optimize cloud spend, maintain performance, and control budgets.

Internet Performance Monitoring

Internet Performance Monitoring Overview

Understand performance across the full stack wherever users depend on it.

Internet Health

NEW

Use global vantage points for independent validation of internet outages.

Real User Monitoring

NEW

Capture actual customer journeys and frontend performance in real time.

Synthetic Monitoring

NEW

Emulate user transactions and SaaS workflows to catch problems early.

Endpoint Monitoring

NEW

Diagnose remote workforce digital experience across devices and networks.

Digital Experience Monitoring

Digital Experience Monitoring

See every dependency, regardless of ownership or location.

Website Monitoring

Protect revenue journeys with proactive synthetic checks and uptime tracking.

CDN Monitoring

NEW

Audit edge performance and latency variance across your CDN providers.

API Monitoring

NEW

Test endpoints and third-party API reliability for critical app integrations.

Application Performance Monitoring

Connect code execution and traces directly to infrastructure health.

DNS Monitoring

NEW

Speed up time to innocence by tracking global nameserver resolution times.

DevOps Lifecycle Monitoring

NEW

Protect release velocity by validating dependencies during deployments.

BGP Monitoring

NEW

Trace global routing changes and path leaks to secure internet reachability.

Logs

Log Management Overview

Centralize and correlate log data to resolve incidents before they escalate.

Log Analytics & Intelligence

Correlate contextual log data with metrics to speed up root-cause analysis.

By Business Outcome

Autonomous IT

Predictive, autonomous IT built for resilience.

Automation

Eliminate repetitive operational toil with safe, policy-governed remediation workflows.

Modernization and Transformation

Accelerate complex technology transitions while protecting core enterprise resilience.

Cloud Migration

Maintain workload performance throughout migration.

Tool Consolidation

Reduce licensing costs and data silos by replacing fragmented monitoring tools.

Cost Optimization

Lower your total cost-to-serve by finding cloud waste and underused resources.

Operational Efficiency

Maximize team capacity by reducing alert storms and shift-handoff friction.

Reduce MTTR

Shorten war-room by surfacing topology-aware probable cause in mins.

Network Reachability

NEW

Independently audit external BGP, ISP, and SaaS provider connectivity boundaries.

Edge Deployment Optimization

NEW

Monitor SLOs, compare providers, and validate cloud and edge delivery.

Web Performance Optimization

NEW

Maximize digital checkout conversions by tracking global frontend latency metrics.

Application Resilience

NEW

Safeguard business services against transaction failures and costly downtime.

Workforce Productivity

NEW

Troubleshoot remote hardware and network issues to protect productivity.

By Role

CIO

Maximize enterprise resilience and align AI investments to measurable business ROI.

AIOps

Compress cross-domain event noise into explainable, automated ops leverage.

DevOps

Speed up releases by protecting engineering roadmaps from toil.

ITOps

Standardize incident response to reduce alert fatigue and after-hours work.

CloudOps

Unify multi-cloud visibility to optimize costs and track hybrid blast radius.

By Industry

Healthcare

Protect continuity of care and EHR availability across clinical workflows.

Public Sector

Ensure mission continuity and audit readiness for citizen-facing services.

MSP

Protect service margins and scale ops using multi-tenant, AI-assisted triage.

Retail & E-commerce

Safeguard peak retail campaigns, POS uptime, and digital customer journeys.

Technology

Protect customer trust and engineering velocity with SLA-driven visibility.

Hospitality

Deliver frictionless guest experiences and keep booking engines online.

Education

Maintain always-on student portals, learning platforms, and campus networks.

Manufacturing

Prevent production downtime by unifying IT, OT-adjacent, and edge systems.

Financial Services

Secure transaction trust and meet strict operational resilience compliance requirements.

Resources

Blog

Insights and advice from the experts on all things observability and AI.

Case Studies

See what real users have to say about the LogicMonitor platform.

Webinars

Live and on-demand learning, all in one place.

IT Guides

Learn from expert guides on the topics that matter most to IT teams.

How We Compare

See how our platform stacks up against other solutions.

Upcoming Events

Viee of a bridge over a river leading to Cologne cathedral rising against the skyline and a blue sky

CONFERENCE

Digital X Cologne

September 8, 2026

CONFERENCE

SWORD Day

September 17, 2026

View all events

Join us at innovation-focused conferences, tech talks, webinars, and other events.

Platform Help

Support Docs

Access product docs, release notes, and support resources.

LM Community

Join the community to learn from peers, ask questions, and connect with experts.

Customer Education

Learn more about our platform through resources and live trainings.

LOGICMONITOR BLOG

Traceroute InSession: A Traceroute Tool for Modern Networks

See why traditional traceroute misreads today’s networks, and how Traceroute InSession gets past firewalls and load balancers to reveal the real path.

10–15 minutes
September 1, 2026
Denton Chikura

IN THIS ARTICLE

NEWSLETTER

Subscribe to our newsletter

Get the latest blogs, whitepapers, eGuides, and more straight into your inbox.

SHARE

The quick download:

Traceroute InSession fixes the two problems that make traditional traceroute misleading on modern networks.

  • Firewalls often block standard traceroute packets and show them as packet loss that isn’t really there.

  • Standard traceroute reports how far each router is from the source, not whether those routers actually connect.

  • By mimicking a TCP session, InSession slips past firewalls and holds one consistent path through per-flow load balancers, with low load on the destination server.

  • Try the open-source code on GitHub, then run it at scale across many vantage points with LogicMonitor Synthetics and Internet Performance Monitoring.

Traceroute has been a trusted network diagnostic tool for decades. When applications slow down or users experience connectivity issues, it’s often the first tool engineers use to determine whether the problem lies within their own infrastructure, somewhere on the Internet, or at the destination. But today’s Internet is far more complex than the one traceroute was originally designed for. Firewalls, load balancers, CDNs, and dynamic routing can all make traditional traceroute results incomplete—or even misleading.

Years of analyzing billions of traceroutes across backbone networks, cloud regions, enterprise environments, wireless providers, and endpoint devices have revealed both the strengths and limitations of traditional traceroute. This article explores those limitations, explains why they occur, and shows how Traceroute InSession addresses them.

Understanding the limitations of traditional traceroute

With standard traceroute, the results all too often look something like this:

This example shows a TCP traceroute from one of our backbone nodes in New York connected to Cogent Communications, to Amazon. As expected, Amazon uses a CDN to serve traffic from different edge locations, so the traceroute reaches five different destinations across repeated runs. This behavior is anticipated and normal.

Why firewalls interfere with traceroute

So what’s not expected? The red dots and all the crossed lines. The red dots show packet loss, but in reality the Internet isn’t that broken. Rather than packet loss, this is likely the result of firewalls blocking some of the traceroute packets. We’ll call this the firewalls problem.

Why traceroute can’t accurately reveal network paths

All the crossed lines suggest a very complex router topology, except that’s not true either. We’ll call this the paths problem. In fact, standard traceroute cannot reveal the path that a packet takes. That’s deeply counter-intuitive: traceroute is meant to trace the route, yet what it actually tells you is that it encountered one router X hops away and another router Y hops away. It has no way to prove whether the routers are connected or what’s between them.

To explain the paths problem further, let’s look at an individual traceroute run:

Traceroute to www.amazon.com (18.164.107.218), 30 hops max
 1  gateway (38.101.106.65) [AS174]  0 ms  0 ms  0 ms
 2  * * *
 3  te0-0-0-1.ccr31.jfk04.atlas.cogentco.com (154.54.5.177) [AS174]  1 ms  1 ms  1 ms
 4  be3363.ccr42.jfk02.atlas.cogentco.com (154.54.3.125) [AS174]  2 ms  1 ms  1 ms
 5  be3201.rcr52.ewr01.atlas.cogentco.com (154.54.90.62) [AS174]  2 ms  2 ms  2 ms
 6  38.142.215.210 (38.142.215.210) [AS174]  2 ms  2 ms  2 ms
 7  * * *
 8  * * *
 9  * * *
10  * * *
11  15.230.208.23 (15.230.208.23)  2 ms  2 ms  2 ms
12  15.230.208.23 (15.230.208.23)  2 ms  2 ms  2 ms
13  server-18-164-107-218.jfk50.r.cloudfront.net (18.164.107.218) [AS16509]  2 ms  2 ms  2 ms

This output indicates that the traceroute went to the gateway, then to the jfk04 Cogent router, then the jfk02 router, and so on, right?

WRONG!

What it actually shows is that one packet from the traceroute took a path through the gateway and found that it was one hop away from the source. Another packet took a path through jfk04 and found that it was three hops away from the source. A third took a path through jfk02 and found that it was four hops away from the source, and so forth. Each packet in a traditional traceroute operates independently. The traceroute output reveals only the distance of each router from the source, not whether they are interconnected.

Another limitation is that a single traceroute cannot determine whether all possible routers have been identified. Catchpoint, now part of LogicMonitor, and others addressed this challenge long ago by running repeated traceroutes. Since each traceroute may discover a different subset of routers, combining the results from many runs provides a more complete view of the network path. That’s how the diagram at the top was generated. Each traceroute identified one router at each hop, and repeated runs made it possible to identify the full set of observed routers with a high degree of confidence.

How Traceroute InSession overcomes firewall and path limitations

Traceroute InSession was designed to address the two remaining challenges: firewalls causing so-called “packet loss” and the incorrect assumption that routers are adjacent when they might not be.

The result is a diagram that looks like this for the example above:

Far fewer red dots (none in this example) and much cleaner lines that provide a much higher degree of confidence that adjacent routers are actually connected.

How does it work? The following sections explain the approach and include a link to the open-source implementation. For readers interested in the technical background, the next section revisits the fundamentals of traceroute.

Those who prefer to skip ahead can jump directly to the solution.

A brief history of traceroute

Traceroute was developed as a diagnostic tool to identify the journey of a packet through an IP network and to assess the pathway’s performance. Before IP networks, traceroute didn’t need to exist. Maybe it could have, but the Internet’s simplicity at the time didn’t demand such a tool. To illustrate, this is what the Internet looked like in 1984:

Compare that to what the Internet looks like nowadays:

There’s a lot of complexity, and complexity calls for tools to decipher it. This principle is a recurring theme in our discussion.

In the 1980s, the Internet Protocol (IP), created in 1974 by Vint Cerf and Bob Kahn, was still a novel concept. Ping was introduced in 1983 to measure the latency between a client and a destination. Following this, in 1988, Van Jacobson wrote the now-famous “traceroute email”:

The level of complexity had reached a point where a specialized tool became necessary.

How does traceroute work?

Van Jacobson created the original traceroute in 1987 using the IP Time To Live (TTL) field. This field specifies the maximum number of routers a packet can pass through. Each time it’s routed, the field is decremented. When it reaches 0, an error message (ICMP TTL Exceeded for IPv4 or Hop Limit Exceeded for IPv6) is sent back.

Why modern networks challenge traditional traceroute

The original algorithm implemented by Van Jacobson works for a lot of scenarios today, but the complexities of modern networks mean the algorithm has to be enhanced to work properly. Specifically, traceroute struggles with firewalls and load balancers.

How firewalls affect traceroute accuracy

Security is a perpetual cat-and-mouse game. Each technological advance is met with exploitation by malicious actors, which leads to further innovations designed to close those loopholes. This is exactly what happened with traceroute.

ICMP traceroute often fails in modern networks because ICMP messages are generally used for diagnostic purposes and rarely carry application data. Many firewalls block them entirely.

Similarly, with UDP traceroute, firewalls often block it because it doesn’t look like application traffic. There isn’t a common UDP application that traceroute imitates, so firewalls block the packets.

For a while, TCP traceroute was the preferred approach. Because every TCP connection begins with a three-way handshake, firewalls couldn’t inspect application data at that stage, so SYN packets were generally allowed through. That changed as attackers began exploiting SYN-based denial-of-service attacks. As firewalls evolved to detect and mitigate this traffic, TCP traceroute became less reliable. (The extent of the impact depends on how SYN attack detection is implemented and where rate thresholds are configured.)

How load balancers complicate traceroute

The Internet is fragile. One of the technologies that helps improve its resilience is load balancers, specifically link load balancers.

In this context, a load balancer can be considered a specialized router that decides where to send a packet, not by the packet’s destination network (that’s what every router does) but by various other criteria. For example, cost-related policies might direct important application traffic over more expensive links for reliability, or resilience considerations might reroute traffic via a backup link if the primary route is too slow. These decisions lead to scenarios such as the following:

Looking at this diagram without any outside knowledge, it’s impossible to know which path a particular packet might take to reach the server. Maybe 1-2-5? Or 1-3-4? Or 1-2-4?

Load balancers are generally configured to balance flow traffic. If a TCP connection is established using a particular path, the load balancer will try to keep the same path for every packet in that connection. The same principles apply to UDP flows.

With traceroute, though, a “flow” is a single packet and response. Each probe sent out has different characteristics and may get load balanced to a different path.

This variability can lead to some very strange traceroute responses. For example, in the diagram above, Hop 1 will always be router 1. Hop 2 could be Router 2 or Router 3. Hop 3 could be Router 4 or Router 5. Hop 4 is the Server. So if you ran a traceroute and saw output like this:

1 (Router 1)

2 (Router 2)

(Router 3)

3 (Router 4)

(Router 5)

4 (Server)

How do you know what the actual path is? You could assume, for example, that a possible flow is 1-2-4, but that isn’t a path that exists.

Navigating complexity: Introducing Traceroute InSession

The complexities introduced by firewalls and load balancers have made the original traceroute less useful than it once was. To address these challenges, Catchpoint developed and open-sourced Traceroute InSession.

You can read our original blog post for a detailed explanation of how Traceroute InSession works. Below is a brief overview.

InSession imitates TCP connections by establishing a TCP connection to the destination server, so a firewall lets it through. Also, by using a single TCP connection, load balancers use a consistent path for every probe because each is treated as the same flow.

Here’s the result:

The first image shows many missing hops, with multiple routers returned for hops 5 to 9 and just one of three probes successfully reaching the destination (hop 13) because a firewall blocked the others.

The InSession version in the second image shows a marked improvement: most hops return data, the path is consistent with only one response per path, and all three probes succeed in reaching their destination.

Comparing Traceroute InSession with SideCar

Sidecar is the algorithm that inspired InSession. It essentially sets up an actual TCP connection or sends data over an existing one. By doing this, it also bypasses firewall detection and causes load balancers to use a consistent path.

The problem with Sidecar is that it sends actual data over a connection to a real server application, which means the destination server has to process that data. The data has to look real enough for the server to reply. With InSession, we use two useful TCP options to prevent this additional load from being added to the server: congestion control and SACK.

Congestion control means that if there’s a gap in the sequence numbers received by the server, the packets won’t be delivered to the application until the gap is filled, a gap that remains unfilled because we put it there deliberately.

SACK, or selective acknowledgment, lets the server respond to the client and tell us which sequence numbers made it and which didn’t. Without it, ACK packets wouldn’t be generated until the gap in sequence numbers is filled.

Comparing Traceroute InSession with Paris traceroute

Catchpoint offered Paris traceroute as an option for about ten years and found that customers generally didn’t use it, and when they did, it caused traceroute failures from locations that had previously operated successfully, more often than not. So the company decided to replace the Paris traceroute option with InSession.

Paris traceroute shares a common objective with InSession: to let traceroutes work amid routers that employ load balancing on packet header fields. This means that in our earlier New York to Amazon TCP traceroute scenario, the adjacent routers would be correctly identified.

However, Paris traceroute runs into two significant issues. First, it relies on a stream of SYN packets similar to traditional TCP traceroute, so firewalls often block it. In our New York to Amazon TCP traceroute scenario, the red dots would still be there. Second, the algorithm is fairly complex because it manipulates different fields inside the packet header:

Imagine explaining to your security team how this application works and why it isn’t malicious. In contrast, InSession simply transmits standard, unmanipulated TCP packets, albeit intentionally skipping one to create a sequence number gap.

While Paris traceroute is available for ICMP, UDP, and TCP protocols, InSession operates solely on TCP. Based on our observations, if firewalls block standard traceroute, they’ll block Paris ICMP and UDP as well. Since InSession runs over a mimicked TCP session, it has proven more reliable in environments where firewalls may drop packets due to SYN flooding, a vulnerability in regular TCP traceroute implementations, including Paris traceroute.

Other traceroute variants and where they fit

There are several other variants of traceroute. Dublin Traceroute is an add-on to Paris for NAT detection. Pamplona Traceroute attempts to identify IP responses that belong to the same router, also known as aliases.

Ultimately, you should use the tool that solves your problem and lets you navigate the complexity of your environment. We’re convinced that for most people, Traceroute InSession is the best choice.

Comparing traceroute variants at a glance

ApproachGets past firewallsConsistent path through load balancersLoad on destination serverProtocols
Standard tracerouteOften blockedNo, each probe can take a different pathMinimalICMP, UDP, TCP
Paris tracerouteOften blocked, still relies on SYN packetsYes, for per-flow load balancersMinimalICMP, UDP, TCP
SideCarYes, rides a real TCP connectionYes, for per-flow load balancersHigher, the server processes real application dataTCP
Traceroute InSessionYes, mimics a TCP sessionYes, for per-flow load balancersLow, congestion control and SACK avoid extra processingTCP

Important considerations when using Traceroute InSession

While Traceroute InSession addresses many of the limitations of traditional traceroute, it’s important to keep two considerations in mind:

  • It handles per-flow load balancers, not per-packet ones. Per-packet load balancers are rare in our experience, so InSession still solves most users’ issues. As far as we know, no algorithm has solved the per-packet load balancer problem.
  • It reports paths, it doesn’t discover them. Like all traceroute implementations, InSession only reports the paths it finds, so a single output can’t tell you whether every possible path has been found.

Access the code on GitHub, along with some pre-built binaries to explore further.

Extending traceroute with Internet Performance Monitoring

The way to get a complete picture of Internet routing is to run many traceroutes from multiple vantage points and across repeated runs, then view all of the paths in a single network graph. LogicMonitor Synthetics and Internet Performance Monitoring enable you to do just that. That path-level view becomes more useful inside the broader LogicMonitor platform, which unifies LM Envision, LM Internet Performance Monitoring, and Edwin AI, so teams can connect what’s happening on the Internet path to the health of their own infrastructure.

Map your real Internet paths across every vantage point.

Run Traceroute InSession from locations worldwide and combines the results into a single clear network graph, enabling you to connect what happens on the Internet path to the health of your own infrastructure on a single platform.

Request a Demo

FAQs

Why does traditional traceroute show packet loss that isn’t real?

Many firewalls block ICMP and UDP traceroute packets because they don’t look like application traffic. TCP traceroute used to get through on SYN packets, but firewalls now drop those to defend against SYN-based attacks. The blocked probes appear as packet loss even when the network is healthy.

How does Traceroute InSession get more accurate results?

InSession imitates a real TCP connection to the destination, so firewalls let it through. Because every probe belongs to the same flow, per-flow load balancers keep it on one consistent path. It also uses congestion control and SACK to keep the load on the destination server low.

How is InSession different from SideCar and Paris traceroute?

SideCar rides a real TCP connection and gets past firewalls, but the server has to process real application data, which adds load. Paris traceroute keeps a consistent path through load balancers, yet it still relies on SYN packets that firewalls often block. InSession mimics a TCP session to clear firewalls and holds a consistent path while keeping server load low.

By Denton Chikura

Technical Writer

Denton Chikura is a technical writer and longtime observability advocate focused on helping site reliability engineers and engineering teams discover the tools and capabilities that strengthen internet resilience. He works at the intersection of monitoring, performance, and infrastructure to make complex systems more understandable and usable, bridging the gap between deep technical detail and real‑world operations. His goal is to help teams build faster, detect issues earlier, and recover smarter, ultimately making the internet a better, more reliable place for everyone.

Disclaimer: The views expressed on this blog are those of the author and do not necessarily reflect the views of LogicMonitor or its affiliates.

© LogicMonitor 2026 | All rights reserved. | All trademarks, trade names, service marks, and logos referenced herein belong to their respective companies.

Related Blogs

Edwin AI and the New Requirements for Operational Resilience in ITOps
Blog AIOps & Automation

Edwin AI and the New Requirements for Operational Resilience in ITOps

Operational resilience depends on more than detecting incidents. Learn how Edwin AI helps ITOps teams connect signals, isolate root cause, predict risk, and respond faster across hybrid environments.
September 4, 2026
Learn more
How to Use Quarkus Live Coding (Live Reload) in Docker
Blog

How to Use Quarkus Live Coding (Live Reload) in Docker

Build a faster Quarkus development loop with Docker: enable remote Live Coding, reload code changes instantly, and troubleshoot containers before production.
September 2, 2026
Learn more
The $1 Million Lesson: Building a Culture of Quality Through SLAs
Blog Internet Performance Monitoring

The $1 Million Lesson: Building a Culture of Quality Through SLAs

A single $1M SLA penalty taught one lasting rule: measure service the way your customers feel it. Here’s how to build SLAs that hold up and protect revenue.
September 1, 2026
Learn more

Product

Platform

Infrastructure

Cloud & Multi-Cloud

Log Management

Edwin AI

Enterprise

Demo

Pricing

WebPageTest Pricing

RUM Monitoring

IPM Monitoring

Synthetic Monitoring

How We Compare

Datadog

Dynatrace

Virtana

Solarwinds

PRTG

ManageEngine

ScienceLogic

SiteScope

BigPanda

About

Careers

Our Partners

Leadership

Newsroom

Security

AI Governance

Sustainability

Legal

Documentation

Docs Hub

Release Notes

Security

Support Center

Resources

Autonomous IT in 2026

Resource Library

LM Academy

Blog

Case Studies

Customer Education

Connect

Contact & Locations

Submit a Ticket

Events

LM Community

Careers


Product

Platform

Infrastructure

Cloud & Multi-Cloud

Log Management

Edwin AI

Enterprise

Demo

Pricing

WebPageTest Pricing

RUM Monitoring

IPM Monitoring

Synthetic Monitoring


How We Compare

Datadog

Dynatrace

Virtana

Zenoss

Solarwinds

PRTG

ManageEngine

ScienceLogic

SiteScope

BigPanda


About

Careers

Our Partners

Leadership

Newsroom

Security

AI Governance

Sustainability

Legal


Documentation

Docs Hub

Release Notes

Security

Support Center


Resources

Autonomous IT in 2026

Resource Library

LM Academy

Blog

Case Studies

Customer Education


Connect

Contact & Locations

Submit a Ticket

Events

LM Community

Careers


Privacy Policy

Terms of Use

Preference Center

Do Not Sell My Information

© 2026 LogicMonitor