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Catchpoint Blog

SRE Report: AI optimism and the economics of effort SRE Report: Why fast is what users trust SRE Report 2026: What surprised us, what didn't, and why the gaps matter most The SRE Report 2026: Defensible Ns Why Synthetic Tracing Delivers Better Data, Not Just More Data A New Chapter: LogicMonitor + Catchpoint – A Personal Note from Mehdi Mezmo + Catchpoint deliver observability SREs can rely on The four pillars holding up your digital business, and what happens when they crumble When payments pause: lessons from a global payments outage Observability 2025 Decoded: What the DZone Report Means for SLO-Driven Ops The next evolution of WebPageTest has arrived, and it’s a game-changer The Monitoring Blind Spot That Could Cost You Black Friday Powering Mexico’s Digital Future: Expanded Internet Observability with Catchpoint The Next Chapter of WebPageTest: Your New Experience Starts Soon SRE Report Retrospectives — Have AIOps Predictions Held Up? When BGP becomes UX: The inside story of a SaaS routing decision gone wrong (or right) Session Replay explained: A guide to seeing digital experience through your user’s eyes Making the invisible visible: Are your cloud firewalls and DDoS protection really working? Why it’s time to move beyond APM: Monitoring from the user’s perspective When metrics mislead: Inside the 2025 Retail Web Performance Benchmark The vendor trap: why your next outage won’t be your fault—but will be your problem LLMs don’t stand still: How to monitor and trust the models powering your AI Semantic Caching: What We Measured, Why It Matters The Annual SRE Survey Is Open—We Want to Hear from You Observability isn’t about the tool. It’s about the truth Invisible dependencies, visible impact: Lessons from the Google Cloud outage Real-time detection of BGP blackholing and prefix hijacks Leading analyst firm reveals the real cost of internet disruptions The Power of Over 3000 Intelligent Observability Agents Monitoring in the Age of Complexity: 5 Assumptions CIOs Need to Rethink Why Intelligent Traffic Steering is Critical for Performance and Cost Optimization Retail digital performance event recap: Key insights from IBM & Catchpoint Zendesk outage: A case for proactive monitoring and faster incident response Silence during chaos: Why the X outage is a call to arms for proactive monitoring The $1 Million Lesson: Building a Culture of Quality Through SLAs When AI tools fail: How to map your AI dependencies for proactive visibility Why Super Bowl 2025 was a triumph for Internet Resilience Why Internet Performance Monitoring is the new health check for IT organizations Why use Playwright in Catchpoint for synthetic monitoring Introducing WebPageTest Expert Plan: Real-Time Insights, Synthetic + RUM together in One Platform The shift to digital: How businesses are reshaping their priorities for 2025 The SRE Report 2025's Call to Action Monitoring in the Age of the Internet: DEM, IPM, and APM—What You Need to Know SSL Monitoring, Trust, and McLOVIN Performing for the holidays: Look beyond uptime for season sales success Lessons from Microsoft’s office 365 Outage: The Importance of third-party monitoring Web Performance Experts Look into the Future of Web Performance The hidden challenges of Internet Resilience: Key insights from 2024 report When SSL Issues aren’t just about SSL: A deep dive into the TIBCO Mashery outage The curious case of Marriott and the untold impact of web performance on revenue Preparing for the unexpected: Lessons from the AJIO and Jio Outage It’s time to stop neglecting the elephant in the room: Performance Matters! The Need for Speed: Highlights from IBM and Catchpoint’s Global DNS Performance Study Learnings from ServiceNow’s Proactive Response to a Network Breakdown Webinar Recap: Taking Web Performance to the Next Level Use the Catchpoint Terraform Provider in your CI/CD workflows Is the Internet ready for L4S? Takeaways from the CrowdStrike outage: third-parties can pose risk July 19th global IT outage reminds us of digital complexity 5 Actions you can take to improve digital performance 2024: A banner year for Internet Resilience APM vs Observability: Both-and, not either-or AppAssure: Ensuring the resilience of your Tier-1 applications just became easier APM vs observability: why your definitions are broken APM vs Observability: What comes next? APM vs Observability: Observing beyond APM Achieving stability with agility in your CI/CD pipeline AWS Outage: How do you prepare for the failure of your own safety net? Agentic AI: Powerful But Fragile—What You Need to Know Catch frustration before it costs you: New tools for a better user experience Catchpoint Expands Observability Network to Barcelona: A Growing Internet Hub Catchpoint Peak Performance Summit 2025: Redefining Observability for the Outcome Economy Catchpoint named a leader in the 2024 Gartner® Magic Quadrant™ for Digital Experience Monitoring Consolidation and Modernization in Enterprise Observability Connected Devices: Unlocking the next frontier of Internet Performance Monitoring Cloud Monitoring's Blind Spot: The User Perspective Cloudflare’s Resolver Outage: More Than Just DNS Cloudflare outage: another wake-up call for resilience planning Demystifying API Monitoring and Testing with IPM Creating the IPM Category: Catchpoint’s Journey to Leadership and the LogicMonitor Era Critical Requirements for Modern API Monitoring Customer Survey 2024: Unveiling insights and impact Did Delta's slow web performance signal trouble before CrowdStrike? Diagnosing Wi-Fi failures that traditional tools miss: a case study DNS misconfiguration can happen to anyone - the question is how fast can you detect it? ECN explained: Navigate congestion for faster, smoother data delivery Don’t get caught in the dark: Lessons from a Lumen & AWS micro-outage Escalating risk, shrinking margins: The 2025 Internet Resilience Report From refresh to results: the metrics that shaped Election Day 2024 coverage Fast and furious: The importance of performance in the digital age Getting Started with Traceroute From SEO to AEO: Why Web Performance Is the Key to AI Search Success Going for gold: Testing the resilience of Olympic websites Here’s the proof: What the fastest sites on the web have in common Google’s Agent-to-Agent (A2A) Protocol is here—Now Let’s Make it Observable How IPM helped a top tech brand catch an OpenAI outage before it became a crisis How AI Turns Monitoring From “What Now?” Into “What’s Next?” How SAP achieved world-class uptime through modern observability How to Monitor AI Agents in Commerce Systems
From the source to the edge: the six agent types you can’t ignore
2026-05-31 · via Catchpoint Blog

in this blog post

Recently, Catchpoint expanded our Global Agent Network to over 3,000 agents. In a crowded space, this is by far one of our key differentiators. At the time of writing, no one else boasts 395 providers in 105 countries and 346 cities. As Director of ISP Strategy, I’m not here to pat myself on the back—my real question is: why? Why build such a massive, independent network — going through all the effort to place backbone agents in hard-to-reach regions like China, Russia, and several African countries?  

The answer lies in how the Internet is built. It isn’t a single, monolithic network but a patchwork quilt of thousands of independent networks—ISPs, data-centers, backbones, wireless carriers, and more—all stitched together by peering and transit agreements worldwide. To monitor performance accurately, you need visibility into every layer of that quilt, or, what we like to call the Internet Stack.

A blue and purple rectangular chart with iconsAI-generated content may be incorrect., Picture

The Internet Stack

In this article, we’ll unpack the five types of Catchpoint synthetic agents—backbone, wireless, last-mile, cloud, and BGP—and show you exactly when and why each matters for keeping that quilt intact. First, let’s explore how the Internet actually connects end to end.

Why multiple vantage points are key

The “Internet” isn’t a single cloud—you can’t just tap into one place and see it all. It’s really tens of thousands of independent networks (ISPs, data centers, wireless carriers) stitched together by peering and transit deals. In a peering arrangement, two networks exchange traffic for free. In a transit relationship, one network pays another to carry its traffic. Peering keeps traffic local; transit carries it farther afield.

Because each network makes its own choices about peering and transit, you need monitoring agents at many points to see what’s happening. A performance hiccup in one ISP’s peering location might not show up at a different ISP’s vantage point. That’s why Catchpoint places agents in dozens of key networks—so you won’t miss an issue that affects only a slice of the Internet.

A blue and pink colored networkDescription automatically generated with medium confidence, Picture

A map of how thousands of networks (Autonomous Systems) peer and buy transit around the world. Source

Why tiers matter

All those peering and transit agreements naturally sort networks into tiers:  

  • Tier 1: These are very large networks that peer with each other and don’t need to buy any transit at all to reach any corner of the Internet. They are considered the backbone of the Internet as they will typically carry long-distance Internet traffic. While the networks belonging to this group have changed since the beginning of the Internet, it’s remained relatively stable, including providers such as Lumen, AT&T, Cogent, Verizon, Orange, GTT, NTT, and Telxius. This category features very large traditional telecom providers that have been serving their domestic market for many years.
  • Tier 2: Regional providers that both peer and buy transit. The scale of operations as well as the type of services they provide (IP transit, Ethernet or Dark Fiber wavelengths) will dictate the number of peering connections and transit providers. Most networks will fall into this category if they peer at one or more Internet exchange points and have two or more upstream providers.
  • Tier 3: Smaller, local ISPs (often single-homed) that feed to an upstream provider. They show you what your end users see on a residential or localized network.

Putting agents in each tier matters because a Tier 1 network will have more visibility into global events (total or partial outages, backbone congestions, etc) as opposed to a regional Tier 2 or a local Tier 3 network. On the other hand, localized outages affecting a limited number of providers in a particular geographical area, won’t be easily observed unless having visibility from one of the affected networks.

Why single-homed Tier 1/Tier 2 connectivity matters

Now that we know how networks sort into tiers, let’s look at how those tiers influence the way we connect our agents.

Many data centers, hosting and managed service providers typically use multiple upstream ISPs (Tier 1 and Tier 2) to create a single, aggregated connection to the Internet. This Internet connectivity, normally offered as a service, is often called blended bandwidth or multihoming.  

Multihoming improves redundancy as traffic can be rerouted if one ISP goes down or has packet loss/congestion. It also improves performance as different ISPs may offer better latency to different geographies.

But for Internet Performance Monitoring (IPM) however, the use of multihomed agents instead of single-homed Tier1/Tier2 carriers introduces variability in your monitoring data, making it harder to identify and troubleshoot the issues affecting performance.  

Here is why more than 96% of Catchpoint backbone agents use single-homed Tier 1/ Tier 2 connectivity instead of blended bandwidth:

  • Path consistency: A consistent Tier 1 upstream path reduces variability, making anomalies and degradations easier to detect and attribute.
  • Backbone visibility: Tier1 visibility is essential to observe how the core Internet behaves in relation to routing anomalies, BGP hijacks or backbone congestion.
  • Performance stability: With blended connectivity, routes may change dynamically based on load-balancing or pricing strategies (e.g., BGP-based traffic engineering), affecting performance results.

Now that you understand how and why Catchpoint chooses single-homed Tier 1/Tier 2 connectivity, let’s look at each of our five synthetic agent types. We’ll explain where we place them, how we build them, and—most importantly—exactly what visibility each one gives you.

Backbone agents

Backbone agents give you a “core-of-Internet” vantage point to catch global outages, BGP hijacks, and CDN-level issues no other agent can see.

We place backbone agents in Tier 1 or Tier 2 ISPs worldwide, selecting carriers by:

  • Geography and market importance (global connectivity hubs)

Each backbone agent runs as a server cluster in a carrier-neutral data center with dedicated IP transit. Carrier neutrality ensures multiple international and domestic carriers via cross-connects, while colocating servers in one facility reduces colocation costs. In emerging markets (e.g., parts of Africa or China), where neutral data centers are scarce, we may host clusters in carrier-owned facilities—only as a last resort.

Connectivity diagram of backbone agents at a data center facility

Measuring performance and availability from backbone agents is critical for:

  • Experience Level Objective (XLO) measurements: Validate service performance when source and target share the same ISP.
  • CDN performance/validation: Ensure fast, reliable content delivery across the backbone.
  • Competitive benchmarking: Compare your service to peers in the same Tier 1/2 networks.
  • Peering/ISP monitoring: Detect routing changes, BGP anomalies, or unexpected transit behavior.
  • Geo-based DNS validation: Confirm DNS resolution speed and correctness from the core network

Public cloud agents

Cloud agents give you visibility right inside public-cloud data centers—so you can catch platform-specific issues before they impact users.

We run 280+ cloud agents across every key availability region in AWS, Azure, Google, Oracle, Alibaba, Tencent, Akamai Compute, and OVH.  

Measuring performance and availability to and from cloud agents is essential if you are hosting applications in the cloud or using any of their computing products. Cloud agents allow your SRE teams to pre-emptively detect performance degradations on public clouds that can affect how your users are experiencing your applications and services.

Wireless agents

Wireless agents simulate real-world cellular conditions, giving you a true picture of how your applications perform on 3G/4G/5G networks.

We place wireless agents using AWS Wavelength and independent carriers in the US, Canada, Japan, Germany, Korea, India, and the UK (e.g., Verizon, KDDI, BT, T-Mobile 5G, AT&T 5G).

Running wireless tests alongside backbone tests lets you compare mobile experience to core-network performance—so you can spot issues like packet loss or DNS slowdowns that only affect cellular users.

Last-mile agents

Last-mile agents live in real homes, giving you a true end-user view of broadband performance.

Our last-mile agents run on small customer-premise devices that connect to a residential ISP. Use these agents to troubleshoot ISP-specific issues—like throttling, DNS failures, or regional outages—that only affect subscribers on a particular network.  

Enterprise agents

Enterprise agents give you visibility into your own network—from branch offices to data centers to edge locations.

Enterprise agents are deployed within your organization’s infrastructure. That includes office networks, private data centers, retail locations, or edge devices. These agents help you monitor internal applications, APIs, and services with the same level of granularity you get for external traffic. Combined with our Global Agent Network, enterprise agents complete the picture—giving you visibility from both outside-in and inside-out.  

BGP agents

BGP agents watch the real-time routing table, so you can catch hijacks, leaks, or unexpected path changes that threaten your service.

Catchpoint maintains a route collector infrastructure that process real-time routing data from 1700+ BGP agents with the goal of monitoring BGP activity and detecting issues such as route hijacks and leaks.

In addition to using RIPE RIS and RouteViews datasets, Catchpoint operates its own private collector infrastructure which includes agreements to receive data from 330+ BGP agents from 100 unique networks.

If you share your own BGP sessions with our private collectors, you’ll gain even deeper insights in your portal—so you see exactly how routing anomalies affect your prefixes.

Wrapping it up

When I asked, “Why build a network of over 3,000 agents in 105 countries and 346 cities?” The simple answer is that today’s Internet isn’t one giant cloud but a patchwork quilt of independent networks.  

By spreading our agents across every layer of the Internet Stack, we can reveal problems at the very moment they start—whether it’s a routing change in a distant backbone, a subtle slowdown in a public cloud region, or a local ISP hiccup affecting a handful of homes.  

This broad visibility isn’t about boasting coverage; it’s about ensuring that whenever something goes wrong, you know exactly where to look. In other words, the effort we put into building and maintaining such a diverse network isn’t just a technical feat. It’s the key to preventing those 3 a.m. wake-up calls for your IT team, avoiding frantically assembled war rooms, and keeping your users happy no matter where they connect.

Ready to unlock the full potentialof observability?

Learn more about Catchpoint'sintelligent agent network and how it can transform your monitoring strategy: https://www.catchpoint.com/global-observability-network  

Summary

Recently, Catchpoint expanded our Global Agent Network to over 3,000 agents. In a crowded space, this is by far one of our key differentiators. At the time of writing, no one else boasts 395 providers in 105 countries and 346 cities. As Director of ISP Strategy, I’m not here to pat myself on the back—my real question is: why? Why build such a massive, independent network — going through all the effort to place backbone agents in hard-to-reach regions like China, Russia, and several African countries?  

The answer lies in how the Internet is built. It isn’t a single, monolithic network but a patchwork quilt of thousands of independent networks—ISPs, data-centers, backbones, wireless carriers, and more—all stitched together by peering and transit agreements worldwide. To monitor performance accurately, you need visibility into every layer of that quilt, or, what we like to call the Internet Stack.

A blue and purple rectangular chart with iconsAI-generated content may be incorrect., Picture

The Internet Stack

In this article, we’ll unpack the five types of Catchpoint synthetic agents—backbone, wireless, last-mile, cloud, and BGP—and show you exactly when and why each matters for keeping that quilt intact. First, let’s explore how the Internet actually connects end to end.

Why multiple vantage points are key

The “Internet” isn’t a single cloud—you can’t just tap into one place and see it all. It’s really tens of thousands of independent networks (ISPs, data centers, wireless carriers) stitched together by peering and transit deals. In a peering arrangement, two networks exchange traffic for free. In a transit relationship, one network pays another to carry its traffic. Peering keeps traffic local; transit carries it farther afield.

Because each network makes its own choices about peering and transit, you need monitoring agents at many points to see what’s happening. A performance hiccup in one ISP’s peering location might not show up at a different ISP’s vantage point. That’s why Catchpoint places agents in dozens of key networks—so you won’t miss an issue that affects only a slice of the Internet.

A blue and pink colored networkDescription automatically generated with medium confidence, Picture

A map of how thousands of networks (Autonomous Systems) peer and buy transit around the world. Source

Why tiers matter

All those peering and transit agreements naturally sort networks into tiers:  

  • Tier 1: These are very large networks that peer with each other and don’t need to buy any transit at all to reach any corner of the Internet. They are considered the backbone of the Internet as they will typically carry long-distance Internet traffic. While the networks belonging to this group have changed since the beginning of the Internet, it’s remained relatively stable, including providers such as Lumen, AT&T, Cogent, Verizon, Orange, GTT, NTT, and Telxius. This category features very large traditional telecom providers that have been serving their domestic market for many years.
  • Tier 2: Regional providers that both peer and buy transit. The scale of operations as well as the type of services they provide (IP transit, Ethernet or Dark Fiber wavelengths) will dictate the number of peering connections and transit providers. Most networks will fall into this category if they peer at one or more Internet exchange points and have two or more upstream providers.
  • Tier 3: Smaller, local ISPs (often single-homed) that feed to an upstream provider. They show you what your end users see on a residential or localized network.

Putting agents in each tier matters because a Tier 1 network will have more visibility into global events (total or partial outages, backbone congestions, etc) as opposed to a regional Tier 2 or a local Tier 3 network. On the other hand, localized outages affecting a limited number of providers in a particular geographical area, won’t be easily observed unless having visibility from one of the affected networks.

Why single-homed Tier 1/Tier 2 connectivity matters

Now that we know how networks sort into tiers, let’s look at how those tiers influence the way we connect our agents.

Many data centers, hosting and managed service providers typically use multiple upstream ISPs (Tier 1 and Tier 2) to create a single, aggregated connection to the Internet. This Internet connectivity, normally offered as a service, is often called blended bandwidth or multihoming.  

Multihoming improves redundancy as traffic can be rerouted if one ISP goes down or has packet loss/congestion. It also improves performance as different ISPs may offer better latency to different geographies.

But for Internet Performance Monitoring (IPM) however, the use of multihomed agents instead of single-homed Tier1/Tier2 carriers introduces variability in your monitoring data, making it harder to identify and troubleshoot the issues affecting performance.  

Here is why more than 96% of Catchpoint backbone agents use single-homed Tier 1/ Tier 2 connectivity instead of blended bandwidth:

  • Path consistency: A consistent Tier 1 upstream path reduces variability, making anomalies and degradations easier to detect and attribute.
  • Backbone visibility: Tier1 visibility is essential to observe how the core Internet behaves in relation to routing anomalies, BGP hijacks or backbone congestion.
  • Performance stability: With blended connectivity, routes may change dynamically based on load-balancing or pricing strategies (e.g., BGP-based traffic engineering), affecting performance results.

Now that you understand how and why Catchpoint chooses single-homed Tier 1/Tier 2 connectivity, let’s look at each of our five synthetic agent types. We’ll explain where we place them, how we build them, and—most importantly—exactly what visibility each one gives you.

Backbone agents

Backbone agents give you a “core-of-Internet” vantage point to catch global outages, BGP hijacks, and CDN-level issues no other agent can see.

We place backbone agents in Tier 1 or Tier 2 ISPs worldwide, selecting carriers by:

  • Geography and market importance (global connectivity hubs)

Each backbone agent runs as a server cluster in a carrier-neutral data center with dedicated IP transit. Carrier neutrality ensures multiple international and domestic carriers via cross-connects, while colocating servers in one facility reduces colocation costs. In emerging markets (e.g., parts of Africa or China), where neutral data centers are scarce, we may host clusters in carrier-owned facilities—only as a last resort.

Connectivity diagram of backbone agents at a data center facility

Measuring performance and availability from backbone agents is critical for:

  • Experience Level Objective (XLO) measurements: Validate service performance when source and target share the same ISP.
  • CDN performance/validation: Ensure fast, reliable content delivery across the backbone.
  • Competitive benchmarking: Compare your service to peers in the same Tier 1/2 networks.
  • Peering/ISP monitoring: Detect routing changes, BGP anomalies, or unexpected transit behavior.
  • Geo-based DNS validation: Confirm DNS resolution speed and correctness from the core network

Public cloud agents

Cloud agents give you visibility right inside public-cloud data centers—so you can catch platform-specific issues before they impact users.

We run 280+ cloud agents across every key availability region in AWS, Azure, Google, Oracle, Alibaba, Tencent, Akamai Compute, and OVH.  

Measuring performance and availability to and from cloud agents is essential if you are hosting applications in the cloud or using any of their computing products. Cloud agents allow your SRE teams to pre-emptively detect performance degradations on public clouds that can affect how your users are experiencing your applications and services.

Wireless agents

Wireless agents simulate real-world cellular conditions, giving you a true picture of how your applications perform on 3G/4G/5G networks.

We place wireless agents using AWS Wavelength and independent carriers in the US, Canada, Japan, Germany, Korea, India, and the UK (e.g., Verizon, KDDI, BT, T-Mobile 5G, AT&T 5G).

Running wireless tests alongside backbone tests lets you compare mobile experience to core-network performance—so you can spot issues like packet loss or DNS slowdowns that only affect cellular users.

Last-mile agents

Last-mile agents live in real homes, giving you a true end-user view of broadband performance.

Our last-mile agents run on small customer-premise devices that connect to a residential ISP. Use these agents to troubleshoot ISP-specific issues—like throttling, DNS failures, or regional outages—that only affect subscribers on a particular network.  

Enterprise agents

Enterprise agents give you visibility into your own network—from branch offices to data centers to edge locations.

Enterprise agents are deployed within your organization’s infrastructure. That includes office networks, private data centers, retail locations, or edge devices. These agents help you monitor internal applications, APIs, and services with the same level of granularity you get for external traffic. Combined with our Global Agent Network, enterprise agents complete the picture—giving you visibility from both outside-in and inside-out.  

BGP agents

BGP agents watch the real-time routing table, so you can catch hijacks, leaks, or unexpected path changes that threaten your service.

Catchpoint maintains a route collector infrastructure that process real-time routing data from 1700+ BGP agents with the goal of monitoring BGP activity and detecting issues such as route hijacks and leaks.

In addition to using RIPE RIS and RouteViews datasets, Catchpoint operates its own private collector infrastructure which includes agreements to receive data from 330+ BGP agents from 100 unique networks.

If you share your own BGP sessions with our private collectors, you’ll gain even deeper insights in your portal—so you see exactly how routing anomalies affect your prefixes.

Wrapping it up

When I asked, “Why build a network of over 3,000 agents in 105 countries and 346 cities?” The simple answer is that today’s Internet isn’t one giant cloud but a patchwork quilt of independent networks.  

By spreading our agents across every layer of the Internet Stack, we can reveal problems at the very moment they start—whether it’s a routing change in a distant backbone, a subtle slowdown in a public cloud region, or a local ISP hiccup affecting a handful of homes.  

This broad visibility isn’t about boasting coverage; it’s about ensuring that whenever something goes wrong, you know exactly where to look. In other words, the effort we put into building and maintaining such a diverse network isn’t just a technical feat. It’s the key to preventing those 3 a.m. wake-up calls for your IT team, avoiding frantically assembled war rooms, and keeping your users happy no matter where they connect.

Ready to unlock the full potentialof observability?

Learn more about Catchpoint'sintelligent agent network and how it can transform your monitoring strategy: https://www.catchpoint.com/global-observability-network  

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SRE Report: Why fast is what users trust

Why Synthetic Tracing Delivers Better Data, Not Just More Data

Creating the IPM Category: Catchpoint’s Journey to Leadership and the LogicMonitor Era