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Sentry Adds Google Web Vitals, Performance Monitoring SDKs for PHP, Node, Ruby, and Serverless

Sentry now supports Google Web Vitals and provides agentless frontend performance monitoring for serverless, PHP, Node, and Ruby-based applications.

With Sentry, developers and product owners can more effectively identify errors, solve performance issues, and optimize code health to protect a user’s product experience.

“Customer issues happen at the application level, and that is where developers have the most control,” said Milin Desai, CEO, Sentry. “That’s why we’re excited to bring Web Vitals to our continually growing support for application performance monitoring this year. Along with being able to identify poor-performing API calls and slow database queries, engineering teams can now see the performance metrics that are even more essential to knowing their code is healthy—from frontend to backend.”

Sentry has also added a new view to help developers see the most improved and most regressed transactions called Trends, which shows how releases over time positively or negatively impact the performance of an application over time.

Support for Web Vitals: Sentry Performance Monitoring adds support for the Google-lead standard, Web Vitals, which defines “slow” based on how fast a site presents UI objects in a given viewport. Coupling Web Vitals with transaction data in Sentry, developers can quickly see how a slow transaction is impacting the user experience, how often the issue is encountered, and other UI objects are not responding quickly. Additionally, when investigating slow transactions, developers can decide with confidence when certain API calls should be made because Sentry highlights which one of four Web Vitals needs to be improved at the transaction level.

Performance Capabilities for PHP, Node, Ruby, and Serverless: With a focus on code and developers, Sentry enables engineering and development teams to more quickly identify performance issues by tracing them to poor-performing API calls along with related errors—all with just five lines of code. Sentry can also help them surface trends to proactively prevent future performance issues, saving time and dramatically reducing costs. Developers are shipping code frequently and each release could have an impact on how fast their application responds. To make sure software teams have the most current information, Sentry Performance builds trends showing the most improved and regressed transactions by release. Now teams can easily understand if the latest release is healthy by seeing the most improved or regressed transactions, any related errors, and fluctuations in Web Vitals. With all this context, developers can solve the most impactful performance challenges quickly and learn how to prevent regressions in future releases.

Sentry Performance also provides Application Health insights so that developers can more easily understand customer satisfaction based on an application’s response time to their interactions with live updating latency and throughput data. They can compare slow response times, increases in transactions, and error rates to scientifically diagnose and fix all performance issues.

Sentry provides application monitoring with rich context to more than 1 million developers and 60,000 organizations worldwide. The addition of Sentry Performance expands the company’s mission-critical capabilities so that software teams can gather specific, actionable insights to resolve the most impactful errors, quickly investigate slowdowns, and effortlessly track the success of releases over time.

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Sentry Adds Google Web Vitals, Performance Monitoring SDKs for PHP, Node, Ruby, and Serverless

Sentry now supports Google Web Vitals and provides agentless frontend performance monitoring for serverless, PHP, Node, and Ruby-based applications.

With Sentry, developers and product owners can more effectively identify errors, solve performance issues, and optimize code health to protect a user’s product experience.

“Customer issues happen at the application level, and that is where developers have the most control,” said Milin Desai, CEO, Sentry. “That’s why we’re excited to bring Web Vitals to our continually growing support for application performance monitoring this year. Along with being able to identify poor-performing API calls and slow database queries, engineering teams can now see the performance metrics that are even more essential to knowing their code is healthy—from frontend to backend.”

Sentry has also added a new view to help developers see the most improved and most regressed transactions called Trends, which shows how releases over time positively or negatively impact the performance of an application over time.

Support for Web Vitals: Sentry Performance Monitoring adds support for the Google-lead standard, Web Vitals, which defines “slow” based on how fast a site presents UI objects in a given viewport. Coupling Web Vitals with transaction data in Sentry, developers can quickly see how a slow transaction is impacting the user experience, how often the issue is encountered, and other UI objects are not responding quickly. Additionally, when investigating slow transactions, developers can decide with confidence when certain API calls should be made because Sentry highlights which one of four Web Vitals needs to be improved at the transaction level.

Performance Capabilities for PHP, Node, Ruby, and Serverless: With a focus on code and developers, Sentry enables engineering and development teams to more quickly identify performance issues by tracing them to poor-performing API calls along with related errors—all with just five lines of code. Sentry can also help them surface trends to proactively prevent future performance issues, saving time and dramatically reducing costs. Developers are shipping code frequently and each release could have an impact on how fast their application responds. To make sure software teams have the most current information, Sentry Performance builds trends showing the most improved and regressed transactions by release. Now teams can easily understand if the latest release is healthy by seeing the most improved or regressed transactions, any related errors, and fluctuations in Web Vitals. With all this context, developers can solve the most impactful performance challenges quickly and learn how to prevent regressions in future releases.

Sentry Performance also provides Application Health insights so that developers can more easily understand customer satisfaction based on an application’s response time to their interactions with live updating latency and throughput data. They can compare slow response times, increases in transactions, and error rates to scientifically diagnose and fix all performance issues.

Sentry provides application monitoring with rich context to more than 1 million developers and 60,000 organizations worldwide. The addition of Sentry Performance expands the company’s mission-critical capabilities so that software teams can gather specific, actionable insights to resolve the most impactful errors, quickly investigate slowdowns, and effortlessly track the success of releases over time.

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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 ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

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An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...