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Catchpoint’s New Internet Resilience Program Monitors and Safeguards Applications and Websites for Peak Events

Catchpoint® announced the launch of its Internet Resilience Program. The offering, previously known as Black Friday Assurance, enhances its market-leading Internet Performance Monitoring (IPM) platform with an on-demand expert team of engineers to help ensure performance and resilience of websites and applications for critical events such as the holiday season for an online retailer, or tax season for a tax preparation company. While many operations teams exert extra effort to monitor their applications during key inflection points, they may still be vulnerable to outages, reachability issues, or other performance issues that could severely impact the business during critical periods, such as peak commercial activity or large sporting or entertainment events. The enhanced Internet Resilience Program combines Catchpoint’s IPM platform with best practices playbooks from some of the world’s leading experts in Internet Resilience. It offers around-the-clock monitoring-as-a-service, enhancing Internet Resilience during critical periods. The package includes: - Access to Catchpoint’s IPM Platform and dedicated performance team - Configuration of optimal testing strategies leading up to the high-traffic period - Real-time detection, reporting, troubleshooting and correcting of potential issues - A comprehensive report analyzing monitoring data, benchmarks against key competitors and recommendations on performance optimizations following the event The service is designed to protect the business during peak periods when customers may experience a surge in web and application traffic. With services provided two weeks before and following key events, the offerings are designed to support peak eCommerce inflection points, including product launches or holiday, tax preparation and travel seasons. “Building on more than a decade of experience working with the leading brands, the Internet Resilience Program packages best-in-class teams and technology,” said Hussain Peeran, Senior Vice President, Customer Experience and Technical Services at Catchpoint. “Every year, we safeguard mission-critical systems for premier enterprises, on average averting over a dozen potentially disastrous incidents. Without our rigorous preventive monitoring, these threats could inflict severe business impact often measured in millions of dollars.” The teams that provide the service monitor the target applications or websites 24x7 and look after anything that could impact customer experience or the business – from SSL certificates to DNS records to CDN performance to complex transaction issues, which are verified using a combination of synthetic monitoring, RUM, and several other Catchpoint services. These expert monitoring teams take advantage of the latest enhancements in the Catchpoint IPM platform, including capabilities such as BGP hijack detection, Internet Sonar, automatic metric correlation, smartboards, and more.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

Catchpoint’s New Internet Resilience Program Monitors and Safeguards Applications and Websites for Peak Events

Catchpoint® announced the launch of its Internet Resilience Program. The offering, previously known as Black Friday Assurance, enhances its market-leading Internet Performance Monitoring (IPM) platform with an on-demand expert team of engineers to help ensure performance and resilience of websites and applications for critical events such as the holiday season for an online retailer, or tax season for a tax preparation company. While many operations teams exert extra effort to monitor their applications during key inflection points, they may still be vulnerable to outages, reachability issues, or other performance issues that could severely impact the business during critical periods, such as peak commercial activity or large sporting or entertainment events. The enhanced Internet Resilience Program combines Catchpoint’s IPM platform with best practices playbooks from some of the world’s leading experts in Internet Resilience. It offers around-the-clock monitoring-as-a-service, enhancing Internet Resilience during critical periods. The package includes: - Access to Catchpoint’s IPM Platform and dedicated performance team - Configuration of optimal testing strategies leading up to the high-traffic period - Real-time detection, reporting, troubleshooting and correcting of potential issues - A comprehensive report analyzing monitoring data, benchmarks against key competitors and recommendations on performance optimizations following the event The service is designed to protect the business during peak periods when customers may experience a surge in web and application traffic. With services provided two weeks before and following key events, the offerings are designed to support peak eCommerce inflection points, including product launches or holiday, tax preparation and travel seasons. “Building on more than a decade of experience working with the leading brands, the Internet Resilience Program packages best-in-class teams and technology,” said Hussain Peeran, Senior Vice President, Customer Experience and Technical Services at Catchpoint. “Every year, we safeguard mission-critical systems for premier enterprises, on average averting over a dozen potentially disastrous incidents. Without our rigorous preventive monitoring, these threats could inflict severe business impact often measured in millions of dollars.” The teams that provide the service monitor the target applications or websites 24x7 and look after anything that could impact customer experience or the business – from SSL certificates to DNS records to CDN performance to complex transaction issues, which are verified using a combination of synthetic monitoring, RUM, and several other Catchpoint services. These expert monitoring teams take advantage of the latest enhancements in the Catchpoint IPM platform, including capabilities such as BGP hijack detection, Internet Sonar, automatic metric correlation, smartboards, and more.

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.