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Catchpoint Fall 2024 Update Announced

Catchpoint unveiled its fall 2024 update, introducing a suite of substantial new features within its Internet Performance Monitoring platform.

To help enterprises optimize their website performance, Catchpoint has introduced several key updates:

WebPageTest Integration: WebPageTest has now been seamlessly incorporated into the Catchpoint IPM Platform. Customers enjoy a unified view of real-time web performance, covering everything from front-end performance to end user experience with insights from worldwide locations.

■ With AI-powered Smartboards, users can schedule tests, identify trends, and receive alerts for WebPageTest metrics, correlating these insights with real user data (RUM) and incorporating web vitals into Experience Level Objective (XLO) tracking.

■ Opportunities and experiments provide web performance optimization recommendations and no-code experiments assess the real-world impact of suggested optimizations before implementing on your live site.

■ WebPageTest video recordings and Core Web Vital highlights not only show the entire video of your critical user journeys; they also pinpoint focus areas where components impact the different Core Web Vitals.

Real User Monitoring (RUM): Catchpoint has enhanced its Real User Monitoring (RUM) with new metrics such as error clicks, thrashed cursor, dead clicks and rage clicks in addition to others like Interaction to Next Paint (INP). These metrics are unified into a simple Smartboard view, providing comprehensive insights into actual user interactions and overall application performance.

"As the Internet Stack plays a vital role in delivering exceptional digital experiences created by your application, an increasing number of businesses are relying on Catchpoint’s instrumentation as their main tool for monitoring end-user experience," says Mehdi Daoudi, CEO of Catchpoint. "They require visibility from the user's perspective to the code level and need to comprehend the entire pathway of their third-party integrations and dependencies to identify—and rectify—any disruptions to those experiences," he further explains.

■ Internet Stack Map enables automatic creation of custom topology service maps of key Internet Stack services and dependencies with AI simplification and correlation of Internet Sonar data providing a live and detailed view of everything impacting an application. Catchpoint has also added the correlation of Ping and Traceroute test types, as well as Ping RTT and Packet Loss Metrics throughout Stack Map. This improves your visibility of how network problems impact your service performance.

■ Internet Sonar detects outages in major services across the internet and correlates them with the services you’re monitoring in your Internet Stack. When incidents occur, this helps you to quickly answer “Is it me or something else?” Catchpoint has added the ability to filter Sonar overview and custom dashboards to a Stack Map. This improvement lets you see outages only for services represented in the Stack Map. If your Stack Map includes region filters, those are also represented in the filtered Sonar view. We have also enhanced ease of use with additional incident sidebar, multiple filtering options and alerts.

■ Catchpoint has added vantage points in 41 cities and across 37 ISPs. This brings the depth and breadth of their coverage to over 100 countries and over 300 cities, approaching 3000 vantage points across backbone, last mile, wireless, and cloud nodes.

■ Enterprise Nodes can be placed on customers' premises extending the full feature/function set of the largest observability network to anywhere there is an internet connection. In this release Catchpoint is now adding a light version of these nodes. Designed to be installed in remote offices, retail stores, and other facilities, these agents are extremely lightweight, flexible, and support a wider range of environments including Raspberry Pi to provide enterprises a path to easily monitor from locations with limited or no direct IT support from behind your firewall.

■ Node-to-node testing offers high-frequency, bidirectional monitoring from more locations, such as between datacenters and cloud providers, or from one cloud provider to another. Customers may run node-to-node tests between enterprise nodes or between enterprise and public nodes with frequencies as low as one minute

Catchpoint also released new automated capabilities to further enable Internet Performance Monitoring as code. Catchpoint supports several different ways to integrate Monitoring as Code in a CI/CD pipeline. Users can now create test configurations, run ad-hoc tests on new releases, and trigger automated actions through Catchpoint's REST API. Enhanced browser automation and testing with Playwright and Puppeteer allow users to handle complex web interactions effortlessly, with support for multiple windows and custom certificates. For example, we have customers who create new test configurations as new features are released using the REST API, tag deployments, run ad-hoc tests on new release builds, notify stakeholders or trigger actions using alert webhook or emails, and send all data to their own data warehouse to combine with other data sources for business KPI reporting. Playwright and Puppeteer scripting now support the use of Personal Certificates for URLs that require them.

“Catchpoint has had an incredible year of innovation in the IPM market. This is due to the true partnership we have developed with our customers and our relentless drive to reduce MTTR. Our focus to accelerate early identification of incidents is significantly enhanced with AI-powered capabilities such as root-cause analysis,” added Daoudi.

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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 ...

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Catchpoint Fall 2024 Update Announced

Catchpoint unveiled its fall 2024 update, introducing a suite of substantial new features within its Internet Performance Monitoring platform.

To help enterprises optimize their website performance, Catchpoint has introduced several key updates:

WebPageTest Integration: WebPageTest has now been seamlessly incorporated into the Catchpoint IPM Platform. Customers enjoy a unified view of real-time web performance, covering everything from front-end performance to end user experience with insights from worldwide locations.

■ With AI-powered Smartboards, users can schedule tests, identify trends, and receive alerts for WebPageTest metrics, correlating these insights with real user data (RUM) and incorporating web vitals into Experience Level Objective (XLO) tracking.

■ Opportunities and experiments provide web performance optimization recommendations and no-code experiments assess the real-world impact of suggested optimizations before implementing on your live site.

■ WebPageTest video recordings and Core Web Vital highlights not only show the entire video of your critical user journeys; they also pinpoint focus areas where components impact the different Core Web Vitals.

Real User Monitoring (RUM): Catchpoint has enhanced its Real User Monitoring (RUM) with new metrics such as error clicks, thrashed cursor, dead clicks and rage clicks in addition to others like Interaction to Next Paint (INP). These metrics are unified into a simple Smartboard view, providing comprehensive insights into actual user interactions and overall application performance.

"As the Internet Stack plays a vital role in delivering exceptional digital experiences created by your application, an increasing number of businesses are relying on Catchpoint’s instrumentation as their main tool for monitoring end-user experience," says Mehdi Daoudi, CEO of Catchpoint. "They require visibility from the user's perspective to the code level and need to comprehend the entire pathway of their third-party integrations and dependencies to identify—and rectify—any disruptions to those experiences," he further explains.

■ Internet Stack Map enables automatic creation of custom topology service maps of key Internet Stack services and dependencies with AI simplification and correlation of Internet Sonar data providing a live and detailed view of everything impacting an application. Catchpoint has also added the correlation of Ping and Traceroute test types, as well as Ping RTT and Packet Loss Metrics throughout Stack Map. This improves your visibility of how network problems impact your service performance.

■ Internet Sonar detects outages in major services across the internet and correlates them with the services you’re monitoring in your Internet Stack. When incidents occur, this helps you to quickly answer “Is it me or something else?” Catchpoint has added the ability to filter Sonar overview and custom dashboards to a Stack Map. This improvement lets you see outages only for services represented in the Stack Map. If your Stack Map includes region filters, those are also represented in the filtered Sonar view. We have also enhanced ease of use with additional incident sidebar, multiple filtering options and alerts.

■ Catchpoint has added vantage points in 41 cities and across 37 ISPs. This brings the depth and breadth of their coverage to over 100 countries and over 300 cities, approaching 3000 vantage points across backbone, last mile, wireless, and cloud nodes.

■ Enterprise Nodes can be placed on customers' premises extending the full feature/function set of the largest observability network to anywhere there is an internet connection. In this release Catchpoint is now adding a light version of these nodes. Designed to be installed in remote offices, retail stores, and other facilities, these agents are extremely lightweight, flexible, and support a wider range of environments including Raspberry Pi to provide enterprises a path to easily monitor from locations with limited or no direct IT support from behind your firewall.

■ Node-to-node testing offers high-frequency, bidirectional monitoring from more locations, such as between datacenters and cloud providers, or from one cloud provider to another. Customers may run node-to-node tests between enterprise nodes or between enterprise and public nodes with frequencies as low as one minute

Catchpoint also released new automated capabilities to further enable Internet Performance Monitoring as code. Catchpoint supports several different ways to integrate Monitoring as Code in a CI/CD pipeline. Users can now create test configurations, run ad-hoc tests on new releases, and trigger automated actions through Catchpoint's REST API. Enhanced browser automation and testing with Playwright and Puppeteer allow users to handle complex web interactions effortlessly, with support for multiple windows and custom certificates. For example, we have customers who create new test configurations as new features are released using the REST API, tag deployments, run ad-hoc tests on new release builds, notify stakeholders or trigger actions using alert webhook or emails, and send all data to their own data warehouse to combine with other data sources for business KPI reporting. Playwright and Puppeteer scripting now support the use of Personal Certificates for URLs that require them.

“Catchpoint has had an incredible year of innovation in the IPM market. This is due to the true partnership we have developed with our customers and our relentless drive to reduce MTTR. Our focus to accelerate early identification of incidents is significantly enhanced with AI-powered capabilities such as root-cause analysis,” added Daoudi.

The Latest

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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...