
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
In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability...
While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...
Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...
Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...
A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...
IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...
A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...