Skip to main content

Catchpoint Launches Free Live Internet Outage Map to Deliver Real-Time Global Internet Health Insights for All

Catchpoint announced the launch of a powerful, free live Global Internet Outage Map. The AI-powered dashboard provides a real-time snapshot of the health of hundreds of global internet services that power our everyday lives. The free, interactive tool provides anyone with quick visibility into outages that may be impacting businesses, sites, or other internet services. The Live Internet Outage Map is available to everyone — no registration required — and provides real-time, global data from the past 24 hours, sampling hundreds of services monitored by Catchpoint’s powerful Internet Sonar capability, which provides deeper insights for paying customers. The global health map provides valuable insights into the health of many Internet services and platforms, including social media (Instagram, LinkedIn, Facebook, etc.), eCommerce (Amazon, Apple, Walmart, etc.), finance (Visa, PayPal, Bank of America, etc.), entertainment (Netflix, Disney Plus, Spotify, etc.), travel (airlines, hotels, booking sites, etc.), and more. This access empowers users with critical, up-to-the-minute information on Internet performance and stability around the world. The Live Internet Outage Map empowers users to proactively respond to outages that could disrupt business operations. Unlike other trackers that rely on delayed, crowd-sourced reports, Catchpoint's map utilizes data from millions of real-time tests conducted on the world's largest independent active observability network. This results in an AI-powered real-time, interactive status report. 
Key Benefits of the Live Internet Outage Map: ■ Real Data, Not Crowd-Sourced: The map relies on comprehensive, real-time data from advanced tests, instead of subjective user reports, ensuring accuracy and reliability free from human error. ■ Live Updates with No Delay: Users receive immediate outage information without waiting for third-party providers to post (often) delayed reports, providing timely insights when they are needed most. ■ Accuracy from Millions of Tests and Billions of Data Points: Our data is derived from numerous tests run on Catchpoint’s industry-leading Global Observability Network and curated by our advanced AI correlation engine, a powerful combination unmatched by any other service. ■ Reduction of False Positives: Internet Sonar’s AI analytics engine carefully examines outage data to validate results, avoiding inaccuracies that can mislead decision-making. Global Internet Leaders — including the top CDNs, ISPs, cloud hyperscalers, and online retailers — rely on Catchpoint Internet Performance Monitoring to run their business and to ensure the performance and resilience of their services. The Internet Outage Map relies on the same technology to provide accurate, real-time data to everyone. “With the release of our Live Internet Outages Map, Catchpoint is delighted to be able to offer to the community for free, real-time, global insights into the health of some of the world’s biggest Internet platforms, from Facebook to Amazon,” said Mehdi Daoudi, CEO of Catchpoint. “By providing a subset of the features from Internet Sonar, we hope to provide businesses the insights they need to answer the question, ‘Is it me or something else?’ Visibility into the health of Internet Infrastructure, SaaS, and MarTech is key to staying competitive.” The full version of Internet Sonar monitors thousands of additional Internet services in additional categories, including Internet Infrastructure (AWS, Azure, Google Cloud, etc.), SaaS (AlaaS, UCaaS, SECaS, etc.), Marketing Technology (analytics, ad serving, video, etc.), API and Developer Tools and more. The full platform also allows for customizable timeframes, generates detailed notifications, and integrates seamlessly with various systems via webhook or API. These alerts significantly reduce Mean Time to Identification (MTTI) and Mean Time to Resolution (MTTR), streamlining incident diagnosis and resolution.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...

Catchpoint Launches Free Live Internet Outage Map to Deliver Real-Time Global Internet Health Insights for All

Catchpoint announced the launch of a powerful, free live Global Internet Outage Map. The AI-powered dashboard provides a real-time snapshot of the health of hundreds of global internet services that power our everyday lives. The free, interactive tool provides anyone with quick visibility into outages that may be impacting businesses, sites, or other internet services. The Live Internet Outage Map is available to everyone — no registration required — and provides real-time, global data from the past 24 hours, sampling hundreds of services monitored by Catchpoint’s powerful Internet Sonar capability, which provides deeper insights for paying customers. The global health map provides valuable insights into the health of many Internet services and platforms, including social media (Instagram, LinkedIn, Facebook, etc.), eCommerce (Amazon, Apple, Walmart, etc.), finance (Visa, PayPal, Bank of America, etc.), entertainment (Netflix, Disney Plus, Spotify, etc.), travel (airlines, hotels, booking sites, etc.), and more. This access empowers users with critical, up-to-the-minute information on Internet performance and stability around the world. The Live Internet Outage Map empowers users to proactively respond to outages that could disrupt business operations. Unlike other trackers that rely on delayed, crowd-sourced reports, Catchpoint's map utilizes data from millions of real-time tests conducted on the world's largest independent active observability network. This results in an AI-powered real-time, interactive status report. 
Key Benefits of the Live Internet Outage Map: ■ Real Data, Not Crowd-Sourced: The map relies on comprehensive, real-time data from advanced tests, instead of subjective user reports, ensuring accuracy and reliability free from human error. ■ Live Updates with No Delay: Users receive immediate outage information without waiting for third-party providers to post (often) delayed reports, providing timely insights when they are needed most. ■ Accuracy from Millions of Tests and Billions of Data Points: Our data is derived from numerous tests run on Catchpoint’s industry-leading Global Observability Network and curated by our advanced AI correlation engine, a powerful combination unmatched by any other service. ■ Reduction of False Positives: Internet Sonar’s AI analytics engine carefully examines outage data to validate results, avoiding inaccuracies that can mislead decision-making. Global Internet Leaders — including the top CDNs, ISPs, cloud hyperscalers, and online retailers — rely on Catchpoint Internet Performance Monitoring to run their business and to ensure the performance and resilience of their services. The Internet Outage Map relies on the same technology to provide accurate, real-time data to everyone. “With the release of our Live Internet Outages Map, Catchpoint is delighted to be able to offer to the community for free, real-time, global insights into the health of some of the world’s biggest Internet platforms, from Facebook to Amazon,” said Mehdi Daoudi, CEO of Catchpoint. “By providing a subset of the features from Internet Sonar, we hope to provide businesses the insights they need to answer the question, ‘Is it me or something else?’ Visibility into the health of Internet Infrastructure, SaaS, and MarTech is key to staying competitive.” The full version of Internet Sonar monitors thousands of additional Internet services in additional categories, including Internet Infrastructure (AWS, Azure, Google Cloud, etc.), SaaS (AlaaS, UCaaS, SECaS, etc.), Marketing Technology (analytics, ad serving, video, etc.), API and Developer Tools and more. The full platform also allows for customizable timeframes, generates detailed notifications, and integrates seamlessly with various systems via webhook or API. These alerts significantly reduce Mean Time to Identification (MTTI) and Mean Time to Resolution (MTTR), streamlining incident diagnosis and resolution.

The Latest

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Government agencies are largely misjudging their level of AI governance as the technology permeates their organization, according to Racing to Deploy: How Public Sector AI Adoption is Moving Faster Than the Foundations Needed to Support It, a new report from SolarWinds ...