Skip to main content

Raygun APM Announced

Raygun announced a new Application Performance Monitoring & Management service: Raygun APM.

The offering will go hand in hand with the company’s current Crash Reporting and Real User Monitoring products, turning Raygun into a one-stop shop for any software development team’s application monitoring needs, bringing together data from errors, crashes, front-end performance and server-side performance into one place. Alerting teams to software errors in their application’s code and report on poor quality end-user experiences.

“The addition of APM to the Raygun Platform delivers on our vision of an integrated monitoring solution. Errors, crashes, real user performance and server/application monitoring can now be all in one place, not siloed or fragmented between teams," said Raygun co-founder and CEO, John-Daniel Trask. "We’ve been building towards the most integrated monitoring platform for years, re-thinking what is achievable and supporting all modern solution architectures.”

Raygun has also built-in tight integration with GitHub for the initial release, which automatically links the diagnostic details captured to the actual source code in your GitHub repository. All a developer needs to do is inspect the code causing the issue and take the appropriate action, with all the relevant information served to them, without having to switch between tools.

Raygun APM is a new addition to the Raygun Platform, which is already used by thousands of software development teams worldwide, including Domino’s Pizza, Coca-Cola, Nordstrom and Microsoft.

Pricing is yet to be finalized but is expected to be competitive with APM market leaders. While in beta, Raygun will provide access to APM at no charge, leading up the official release date in a few months’ time.

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...

Raygun APM Announced

Raygun announced a new Application Performance Monitoring & Management service: Raygun APM.

The offering will go hand in hand with the company’s current Crash Reporting and Real User Monitoring products, turning Raygun into a one-stop shop for any software development team’s application monitoring needs, bringing together data from errors, crashes, front-end performance and server-side performance into one place. Alerting teams to software errors in their application’s code and report on poor quality end-user experiences.

“The addition of APM to the Raygun Platform delivers on our vision of an integrated monitoring solution. Errors, crashes, real user performance and server/application monitoring can now be all in one place, not siloed or fragmented between teams," said Raygun co-founder and CEO, John-Daniel Trask. "We’ve been building towards the most integrated monitoring platform for years, re-thinking what is achievable and supporting all modern solution architectures.”

Raygun has also built-in tight integration with GitHub for the initial release, which automatically links the diagnostic details captured to the actual source code in your GitHub repository. All a developer needs to do is inspect the code causing the issue and take the appropriate action, with all the relevant information served to them, without having to switch between tools.

Raygun APM is a new addition to the Raygun Platform, which is already used by thousands of software development teams worldwide, including Domino’s Pizza, Coca-Cola, Nordstrom and Microsoft.

Pricing is yet to be finalized but is expected to be competitive with APM market leaders. While in beta, Raygun will provide access to APM at no charge, leading up the official release date in a few months’ time.

The Latest

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...

In MEAN TIME TO INSIGHT Episode 21, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AI-driven NetOps ... 

Enterprise IT has become increasingly complex and fragmented. Organizations are juggling dozens — sometimes hundreds — of different tools for endpoint management, security, app delivery, and employee experience. Each one needs its own license, its own maintenance, and its own integration. The result is a patchwork of overlapping tools, data stuck in silos, security vulnerabilities, and IT teams are spending more time managing software than actually getting work done ...

2025 was the year everybody finally saw the cracks in the foundation. If you were running production workloads, you probably lived through at least one outage you could not explain to your executives without pulling up a diagram and a whiteboard ...