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Honeycomb Launches Frontend Observability Solution

Honeycomb announced the general availability of Honeycomb for Frontend Observability.

This new offering extends Honeycomb's powerful debugging capabilities to the frontend, enabling engineering teams to gain deep insights into web application performance and user experiences.

Honeycomb for Frontend Observability removes the limitations of legacy RUM products through easy OpenTelemetry-based instrumentation and support for hundreds of custom attributes at no cost. These attributes are immediately accessible in powerful visualizations to surface new insights into customer and performance issues.

"The frontend is critical – it's where customers spend their time and where revenue is generated. Unfortunately, many frontend observability tools are outdated, offering only aggregated metrics and limited insights," said Honeycomb CEO Christine Yen. "With Honeycomb's Frontend Observability solution, we're bridging the gap between backend and frontend observability, giving engineering teams a holistic view of their entire application – from server to browser – enabling them to deliver exceptional user experiences."

Honeycomb for Frontend Observability has been embraced by early adopters through an early access program for enterprise customers, empowering them to harness cutting-edge observability tools for their web applications and dramatically enhance their ability to pinpoint and resolve frontend issues.

The new offering integrates with Honeycomb's existing observability platform, providing a unified interface for debugging across the entire application stack. With Honeycomb for Frontend Observability, users get:

- Seamless open source web instrumentation: Honeycomb's OpenTelemetry wrapper simplifies frontend instrumentation, collecting comprehensive performance data, allowing easy integration of custom attributes, and enabling end-to-end tracing for efficient cross-team issue resolution.

- Real user journey optimization: Comprehensive user interaction tracking and context capture allow teams to query high-cardinality data, enabling faster problem-solving and better cross-team collaboration.

- Better SEO and site performance: By capturing attribution data for Core Web Vitals, developers gain precise insights into the causes of poor performance scores and clear guidance on how to improve them.

Honeycomb's Frontend Observability solution is available now for enterprise customers.

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Honeycomb Launches Frontend Observability Solution

Honeycomb announced the general availability of Honeycomb for Frontend Observability.

This new offering extends Honeycomb's powerful debugging capabilities to the frontend, enabling engineering teams to gain deep insights into web application performance and user experiences.

Honeycomb for Frontend Observability removes the limitations of legacy RUM products through easy OpenTelemetry-based instrumentation and support for hundreds of custom attributes at no cost. These attributes are immediately accessible in powerful visualizations to surface new insights into customer and performance issues.

"The frontend is critical – it's where customers spend their time and where revenue is generated. Unfortunately, many frontend observability tools are outdated, offering only aggregated metrics and limited insights," said Honeycomb CEO Christine Yen. "With Honeycomb's Frontend Observability solution, we're bridging the gap between backend and frontend observability, giving engineering teams a holistic view of their entire application – from server to browser – enabling them to deliver exceptional user experiences."

Honeycomb for Frontend Observability has been embraced by early adopters through an early access program for enterprise customers, empowering them to harness cutting-edge observability tools for their web applications and dramatically enhance their ability to pinpoint and resolve frontend issues.

The new offering integrates with Honeycomb's existing observability platform, providing a unified interface for debugging across the entire application stack. With Honeycomb for Frontend Observability, users get:

- Seamless open source web instrumentation: Honeycomb's OpenTelemetry wrapper simplifies frontend instrumentation, collecting comprehensive performance data, allowing easy integration of custom attributes, and enabling end-to-end tracing for efficient cross-team issue resolution.

- Real user journey optimization: Comprehensive user interaction tracking and context capture allow teams to query high-cardinality data, enabling faster problem-solving and better cross-team collaboration.

- Better SEO and site performance: By capturing attribution data for Core Web Vitals, developers gain precise insights into the causes of poor performance scores and clear guidance on how to improve them.

Honeycomb's Frontend Observability solution is available now for enterprise customers.

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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 ...