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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.

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I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

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

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...