Loading full navigation.

Autonomous IT is here. The alert loop ends now. LEARN MORE

Partners

Docs

LM Academy

LM Community

Pricing

Platform
Solution
Industry
Role
There is no result.

LOGICMONITOR BLOG

Outage Retrospective: How the Adobe Experience Cloud Outage Exposed Third-Party Blind Spots

See how Internet-health signals, synthetic tests, and Real User Monitoring exposed third-party failures during the 2023 Adobe Experience Cloud outage, and how LogicMonitor Digital Experience connects those perspectives to help teams identify user impact and incident ownership.

7–10 minutes
Denton Chikura

NEWSLETTER

Subscribe to our newsletter

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

SHARE

The quick download:

When a third-party service fails, your users feel it instantly even when your own infrastructure is perfectly healthy.

  • The December 2023 Adobe Experience Cloud outage ran roughly 18 hours, causing failed logins, stalled page loads, and lost analytics for customers worldwide.

  • Internet sonar flagged Adobe Tag Manager timeouts across global vantage points within minutes, while application servers, databases, and networks stayed healthy.

  • Correlated synthetic tests, HTTP and TCP errors, and Real User Monitoring tied the failing journeys to one shared external dependency.

  • Monitor critical third-party services independently so you can prove your systems aren’t the source of the issue and route incidents to the right owner fast.

Outage Retrospective: How the Adobe Experience Cloud Outage Exposed Third-Party Blind Spots

The Adobe Experience Cloud outage in December 2023 is a useful example of how third-party failures can complicate incident response. Organizations relying on Adobe services experienced slow page loads, failed logins, interrupted analytics, and broken customer journeys. At the same time, their application servers, databases, and network infrastructure appeared healthy, making it difficult to determine where the problem actually originated.

Applications now depend on a growing number of third-party services for authentication, analytics, tag management, content delivery, and payments. When one of those services fails, users experience the impact immediately, even though the underlying issue may be outside the organization’s environment. Without independent Internet visibility, operations teams can spend valuable time reviewing application logs, infrastructure metrics, and recent deployments before realizing the problem belongs to a third-party provider.

What happened?

On December 8, 2023, Adobe Experience Cloud experienced a widespread outage that affected customers worldwide. The first disruptions began around 8:00 AM EST and continued until approximately 1:45 AM EST on December 9, with different Adobe services recovering at different times.

The cost of such a service being down for 18 hours adds up quickly, for Adobe and its customers. Both are impacted by lost revenue from service disruptions and a damaged brand reputation. On top of that, Adobe risks incurring SLA violations for millions of customers. 

Adobe Analytics reports that the outage affected Data Collection, Data Processing, and several Reporting Applications, including Analysis Workspace, Data Warehouse, Data Connectors, Data Feeds, and the Web Services API. Organizations relying on these services experienced slow page loads, failed logins, interrupted analytics, and other customer-facing issues.

As the incident unfolded, Internet Sonar detected the disruption. Its Internet-health view helped customers distinguish an external service outage from problems within their own applications and infrastructure. The following examines the evidence that narrowed the investigation to Adobe’s services.

How third-party failures affect website performance

When a third-party dependency fails, the symptoms surface inside your application even though the root cause lies outside your environment.

That mismatch is what makes these incidents expensive to triage. The impact tends to show up through a few mechanisms. Treat them as plausible rather than demonstrated:

  • Blocked or delayed page rendering when a script won’t load.
  • Failed authentication or personalization workflows tied to the third party.
  • Lost analytics and attribution data during the disruption.
  • Abandoned sessions and lower conversion as users wait.
  • Longer triage, because internal systems can look healthy while users struggle.
  • Potential SLA exposure if degraded experience persists.

How Internet Sonar isolated the Adobe dependency

The investigation drew on three sources: an Internet-health signal, synthetic tests run by customers who rely on Adobe, and Professional Services analysis on behalf of major retail and e-commerce customers.

  • What are users experiencing, and is the problem global or regional?
  • Which external dependency is common to the failing journeys?
  • What specific failure modes appear, and which internal services stay healthy?
  • What action follows once the source is clear?

The Internet health signal

Internet Sonar monitors Adobe Tag Manager, a service in the Adobe Experience Cloud. On Friday, December 8 at 8:03 AM EST, it detected timeout errors from a large number of cities worldwide. It notified customers at 8:20 AM EST, once the failures were confirmed as a significant incident rather than short-term outliers. That single signal answered the first two questions at once: users were failing, and the failure was global.

Internet Sonar detects Adobe Tag Manager timeouts across worldwide vantage points, pointing to an external dependency rather than any single customer’s infrastructure.

Sites carrying this tag were painfully slow, with some taking 100 to 200 seconds to load.

Correlated synthetic failures

Internet Sonar also correlated failing synthetic tests run by customers. The records page below shows a synthetic test for a customer service that uses Adobe Tag Manager, with the test failure tied directly to the Adobe Tag Manager outage. This confirms the common dependency: separate customer journeys were failing, and they shared the same third party.

A customer synthetic test failure correlated to the Adobe Tag Manager outage, linking a specific broken journey to the shared external cause. Reflects the product as it appeared in 2023.

HTTP and TCP evidence

Many e-commerce customers who rely on Adobe began seeing multiple failures in the synthetic tests they run on the platform. The specific failure modes tell you exactly where each journey broke.

Test failure #1: HTTP 404 Not Found

The request to https://auth.services.adobe.com/signin returned an HTTP 404, so login didn’t go through. An e-commerce customer that depends heavily on Adobe monitors the Adobe Experience Platform extensively, and its synthetic test for Adobe Journey Optimizer, part of Experience Cloud, showed significant impact.

A 404 on the Journey Optimizer login request shows the failure hitting a specific authentication step, not the customer’s own front end. Reflects the product as it appeared in 2023.

The HTTP response returned an error body: {“errorCode”:”invalid_resource_id”,”errorMessage”:”Could not find resource for id v:2,s,f,bg:eclogin,…”}.

Test failure #2: TCP Timeout errors

TCP Timeout errors appeared for the Launch.js JavaScript request, initiated by DTM.js. The request targeted https://assets.adobedtm.com/a7d65461e54e/6e9802a06173/launch-43baf8381f4b.min.js.

A TCP timeout on launch.js confirms the connection to Adobe’s asset host was failing at the network layer. At the time the test captured this, the incident was ongoing and the impact was global. Reflects the product as it appeared in 2023.

Waterfall evidence

Professional Services, which monitors and analyzes websites for major retail and e-commerce customers, saw related failures in the request waterfall. These signals show how the dependency degraded the full page, not just one call.

Test failure: high connect time and no response

Tests failed on timeouts driven by high connect time for assets.adobedtm.com, and in some cases the servers returned no response at all.

High connect time and no response from Adobe asset servers, the point where page loads stalled waiting on the third party. Reflects the product as it appeared in 2023.

Test failure: 503 Service Unavailable and rising wait time

The host chart showed an increase in wait time for requests from assets.adobedtm.com, and the waterfall recorded a 503 Service Unavailable error for a specific Adobe request.

A 503 and increased wait time in the waterfall show Adobe requests failing mid-load and delaying everything downstream. Reflects the product as it appeared in 2023.

Render-after-timeout: the resilience detail

WebPageTest results captured the most instructive detail of the incident: page content rendered for users only after the Adobe assets timed out. The dependency was nonessential to the page, yet it still blocked rendering until the browser timed out the request.

WebPageTest shows the page rendering only after Adobe assets timed out, evidence that a blocking third-party script delayed the whole experience.

Synthetic monitoring versus live user impact

Synthetic tests told the team what was failing and where. Real User Monitoring (RUM) confirmed that live visitors felt it, linking the outside-in signal to actual user experience.

Real User Monitoring data confirms the outage reached live visitors, not just synthetic probes

Reading these signals together supports what teams call time to innocence, the time it takes to prove your own infrastructure isn’t the source. Internet Performance Monitoring data helps a team show that, avoid unnecessary escalations, and route the incident to the party that owns the failing dependency. In this case, that meant pointing at Adobe Tag Manager early instead of waking up database and application on-call engineers whose systems were healthy.

What teams should learn

These lessons apply whether or not you use Adobe, because similar patterns can recur across widely shared third-party services.

  • Monitor critical third-party dependencies independently of your application. A failure in one of them then shows up as its own signal, not a vague slowdown.
  • Test complete user journeys, not only first-party infrastructure. Login, checkout, and personalization often depend on external calls that never touch your servers.
  • Correlate third-party events with synthetic and Real User Monitoring signals. One signal raises suspicion; correlated signals confirm the source and its user impact.
  • Design tags and scripts so nonessential dependencies fail without blocking rendering. The render-after-timeout evidence above is what happens when they don’t.
  • Keep an incident-routing process for failures outside your control. Decide in advance how you escalate to a vendor when the fix isn’t yours to make.

How to make sites resilient to third-party failures

The render-after-timeout detail points to a set of engineering practices that keep a single external failure from taking the page down with it.

  • Load nonessential scripts asynchronously or defer them, so the main content renders without waiting on a third party.
  • Set sensible connection and request timeouts, so a slow dependency fails fast instead of stalling the page for 100 seconds or more.
  • Add circuit breakers or kill switches for nonessential tags, so you can drop a failing script during an incident.
  • Design for graceful degradation, so the core experience keeps working when an external feature is unavailable.
  • Test periodically with key third-party services unavailable, so you learn how the page behaves before a live outage teaches you.

From Outside-In Visibility to Unified Observability

During the 2023 Adobe incident, Internet Sonar helped identify the disruption as an external service failure. That detection illustrates the broader role Internet health visibility now plays within LogicMonitor’s observability platform.

LogicMonitor connects digital experience, synthetic monitoring, and Real User Monitoring with the infrastructure, cloud, network, and application telemetry available through LM Envision. This connected view helps operations teams:

  • Determine whether an issue originates internally or from an external dependency.
  • Compare impact across services, regions, and providers.
  • Connect Internet events with application and infrastructure symptoms.
  • Understand which services and users are affected.
  • Avoid unnecessary escalations and focus the response on the actual source.

Edwin AI adds correlation and incident context across these signals, helping teams reduce noise, identify likely root cause, understand business impact, and prioritize the incidents that require action.

Catch third-party outages before they derail your customers.

LogicMonitor brings digital experience into your observability strategy, helping you isolate external failures faster and focus troubleshooting on what actually broke.

FAQs

How can I tell whether an outage is caused by my own infrastructure or a third-party service?

Independent, outside-in monitoring monitors third-party dependencies separately from your applications. When a shared service like Adobe Tag Manager fails, it surfaces as its own signal across global vantage points while your servers and databases stay healthy. That contrast points you to the external source quickly.

Why did a nonessential Adobe script slow down entire pages during the outage?

The Adobe assets were loaded in a way that blocked rendering until the browser timed out the request. WebPageTest showed pages appearing only after Adobe assets timed out, sometimes after 100 to 200 seconds. Loading nonessential scripts asynchronously or deferring them prevents this.

What is “time to innocence” and why does it matter?

Time to innocence is how long it takes to prove your own infrastructure is not the source of an incident. Outside-in evidence from synthetic tests and Real User Monitoring shortens it. That helps teams avoid unnecessary escalations and route the incident to the party that owns the failing dependency.

By Denton Chikura

Content Marketing Manager

Denton Chikura is a Content Marketing Manager for LogicMonitor Digital Experience, where he drives content on observability, Internet performance, and digital experience. He writes for SREs, IT operations teams, and business leaders, turning performance data into guidance they can act on.

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

Optimizing Website Performance: Harnessing the Power of Image Lazy Loading
Blog Digital Experience

Optimizing Website Performance: Harnessing the Power of Image Lazy Loading

Image lazy loading can speed up your site, or slow it down. Learn how to apply it selectively, protect Core Web Vitals, and measure the real-world impact.
October 30, 2026
Learn more
Outage Retrospective: What a Google Cloud Incident Revealed About Hidden Service Dependencies
Blog Internet Performance Monitoring

Outage Retrospective: What a Google Cloud Incident Revealed About Hidden Service Dependencies

See how a Google Cloud outage took major brands like Home Depot offline, and why digital experience monitoring spots failures before status pages update.
October 30, 2026
Learn more
Outage Retrospective: How the Adobe Experience Cloud Outage Exposed Third-Party Blind Spots
Blog DevOps & CI/CD

Outage Retrospective: How the Adobe Experience Cloud Outage Exposed Third-Party Blind Spots

See how Internet-health signals, synthetic tests, and Real User Monitoring exposed third-party failures during the 2023 Adobe Experience Cloud outage, and how LogicMonitor Digital Experience connects those perspectives to help teams identify user impact and incident ownership.
October 30, 2026
Learn more