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Catchpoint Tracing Offers Deep Visibility for Critical Cloud-Centric Applications from the User Experience Across the Internet to the Code

New capability provides DevOps and IT Operations teams the unique ability to see code tracing data in context of anything in the Internet Stack that may impact the user experience journey

Catchpoint unveiled Catchpoint Tracing, a capability allowing DevOps and IT Operations teams to seamlessly integrate traces into their other Internet Stack observability data, enabling them to make faster decisions in an ever-changing, increasingly complex and fragile Internet ecosystem. 

Catchpoint Tracing - coupled with the insights derived from IPM - enables full end-to-end visibility. Teams can visualize request journeys through backend application components and gain code-level insights into cloud-first applications. Unlike traditional Application Performance Monitoring (APM) tools that monitor from the inside out, Catchpoint’s Internet Performance Monitoring (IPM) platform with Tracing takes an outside-in perspective of digital experience, offering a holistic view that extends from the Internet to the application and its dependencies (access a full comparison here). This unique Internet-centric approach enables operations teams to understand the entire end-to-end path of the user journey and diagnose application errors or performance latency in seconds. 

Key benefits of Catchpoint Tracing include: ■ Diagnosis of failed requests by tracing across the application, through the architecture, to the component level. ■ Troubleshooting of application performance for upstream or downstream dependencies (whether native or not). ■ Balance innovation velocity with reliability to meet the twin needs of developers who are focused on product innovation and ITOps teams striving for system resilience. ■ Optimize costs by monitoring only those components of the Internet and Application Stacks that matter. ■ Native support for OpenTelemetry to easily integrate with other observability frameworks. ■ Simplicity in deployment with automated instrumentation and a simple pricing model. 

“Legacy APM vendors provide some cloud synthetic testing capabilities in conjunction with Tracing, but they all lack the ability to visualize the customer journey and identify issues across the Internet Stack,” said Dritan Suljoti, Chief Product and Technology Officer and co-founder, Catchpoint. “Catchpoint Tracing with OpenTelemetry runs within the same Internet Performance Monitoring Platform as our Synthetics, RUM and BGP products and can monitor across the Internet Stack from the end user’s perspective globally. We then automatically correlate any issues so that IT teams can rapidly troubleshoot and identify the root cause faster, accelerating MTTR.” 

Catchpoint Tracing allows DevOps and IT Operations teams to address the complexities of modern application delivery and offer exceptional digital experiences to enterprise customers. Tracing safeguards business revenue by helping these teams gain a 360-degree view into how code impacts user experience across their entire journey. Thus, enabling them to deliver fast, resilient experiences, irrespective of size, complexity and distributed hosting environments. 

Catchpoint Tracing supports OpenTelemetry (OTel) to easily enable integration with other Observability frameworks. By offering the ability to uncouple your tracing telemetry, Catchpoint joins OTel on our shared vision for effective observability by enabling easy interoperation with other open source software projects in the telemetry and observability ecosystem. Our tracing data seamlessly integrates with your Internet Stack telemetry. 

Additional capabilities include: ■ Automated tracing with no code change ■ Support for cloud providers (e.g., AWS, GCP, and Azure) ■ Support for application platforms (e.g., AWS ECS, EKS, Lambda, and Kubernetes) ■ Support for multiple runtimes (e.g., Java, Python, Node.JS, .NET, and Go + OpenTelemetry) ■ Trace requests down to event-driven flows (e.g., Kafka, AWS SQS, AWS Kinesis) ■ Seamless integration with Internet Stack telemetry (e.g., Synthetics and Internet Synthetics) Catchpoint Tracing is now available to all customers.

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Catchpoint Tracing Offers Deep Visibility for Critical Cloud-Centric Applications from the User Experience Across the Internet to the Code

New capability provides DevOps and IT Operations teams the unique ability to see code tracing data in context of anything in the Internet Stack that may impact the user experience journey

Catchpoint unveiled Catchpoint Tracing, a capability allowing DevOps and IT Operations teams to seamlessly integrate traces into their other Internet Stack observability data, enabling them to make faster decisions in an ever-changing, increasingly complex and fragile Internet ecosystem. 

Catchpoint Tracing - coupled with the insights derived from IPM - enables full end-to-end visibility. Teams can visualize request journeys through backend application components and gain code-level insights into cloud-first applications. Unlike traditional Application Performance Monitoring (APM) tools that monitor from the inside out, Catchpoint’s Internet Performance Monitoring (IPM) platform with Tracing takes an outside-in perspective of digital experience, offering a holistic view that extends from the Internet to the application and its dependencies (access a full comparison here). This unique Internet-centric approach enables operations teams to understand the entire end-to-end path of the user journey and diagnose application errors or performance latency in seconds. 

Key benefits of Catchpoint Tracing include: ■ Diagnosis of failed requests by tracing across the application, through the architecture, to the component level. ■ Troubleshooting of application performance for upstream or downstream dependencies (whether native or not). ■ Balance innovation velocity with reliability to meet the twin needs of developers who are focused on product innovation and ITOps teams striving for system resilience. ■ Optimize costs by monitoring only those components of the Internet and Application Stacks that matter. ■ Native support for OpenTelemetry to easily integrate with other observability frameworks. ■ Simplicity in deployment with automated instrumentation and a simple pricing model. 

“Legacy APM vendors provide some cloud synthetic testing capabilities in conjunction with Tracing, but they all lack the ability to visualize the customer journey and identify issues across the Internet Stack,” said Dritan Suljoti, Chief Product and Technology Officer and co-founder, Catchpoint. “Catchpoint Tracing with OpenTelemetry runs within the same Internet Performance Monitoring Platform as our Synthetics, RUM and BGP products and can monitor across the Internet Stack from the end user’s perspective globally. We then automatically correlate any issues so that IT teams can rapidly troubleshoot and identify the root cause faster, accelerating MTTR.” 

Catchpoint Tracing allows DevOps and IT Operations teams to address the complexities of modern application delivery and offer exceptional digital experiences to enterprise customers. Tracing safeguards business revenue by helping these teams gain a 360-degree view into how code impacts user experience across their entire journey. Thus, enabling them to deliver fast, resilient experiences, irrespective of size, complexity and distributed hosting environments. 

Catchpoint Tracing supports OpenTelemetry (OTel) to easily enable integration with other Observability frameworks. By offering the ability to uncouple your tracing telemetry, Catchpoint joins OTel on our shared vision for effective observability by enabling easy interoperation with other open source software projects in the telemetry and observability ecosystem. Our tracing data seamlessly integrates with your Internet Stack telemetry. 

Additional capabilities include: ■ Automated tracing with no code change ■ Support for cloud providers (e.g., AWS, GCP, and Azure) ■ Support for application platforms (e.g., AWS ECS, EKS, Lambda, and Kubernetes) ■ Support for multiple runtimes (e.g., Java, Python, Node.JS, .NET, and Go + OpenTelemetry) ■ Trace requests down to event-driven flows (e.g., Kafka, AWS SQS, AWS Kinesis) ■ Seamless integration with Internet Stack telemetry (e.g., Synthetics and Internet Synthetics) Catchpoint Tracing is now available to all customers.

The Latest

According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...

Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...

IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...

Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...

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In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...

In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...

In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...

In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...

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