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Honeycomb Adds New APM Features

Honeycomb announced new features in its SaaS-based Application Performance Monitoring (APM) tool that delivers high-resolution ("hi-res") production monitoring and rapid debugging for business-critical applications.

With these new features, DevOps and Site Reliability Engineering (SRE) teams can proactively analyze event-based production data more easily and investigate and resolve issues in a fraction of the time it takes traditional monitoring and APM tools.

Seeing production in hi-res with Honeycomb means two things: Users gain a clearer view into how production is behaving, and they are more efficient when investigating problems, by being able to ask any question to accelerate debugging and incident resolution within and across teams.

"Engineering and DevOps teams need a clear picture of what's actually going on in modern production environments and a tool to help better understand why an issue may be occurring," says Charity Majors, co-founder and CTO of Honeycomb. "These new features make it easier for teams to observe in real time how users interact with their code as it hits production and the context of why something is happening. This gives teams a faster path to achieving observability, embracing a culture of software ownership, and ultimately customer happiness."

New product enhancements include:

- Intuitive New Home Page features a redesigned layout that orients users with immediate access to real-time interactive charts to observe production, keeping an active eye as new code is deployed.

- BubbleUp offers instant, automatic detection of outliers, saving significant time trying to manually investigate the conditions causing the issue. Users can select suspect areas of heatmaps and see what's behaving differently from the baseline.

- Distributed Tracing Accessed With a Click directly from line graphs, histograms, or heatmaps to easily navigate across services, examine crucial details and discover latency, errors or duplicates. Users can conduct full-text search over trace spans, collapse and expand for easy viewing, and spawn new queries from a waterfall view.

- Team Collaboration and Elevation is essential, and Honeycomb makes knowledge transfer easy and organic. Users can share and search query history, replay debugging steps, curate dashboards for new team members, inform on-call, and elevate everyone to the level of the best debugger.

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Honeycomb Adds New APM Features

Honeycomb announced new features in its SaaS-based Application Performance Monitoring (APM) tool that delivers high-resolution ("hi-res") production monitoring and rapid debugging for business-critical applications.

With these new features, DevOps and Site Reliability Engineering (SRE) teams can proactively analyze event-based production data more easily and investigate and resolve issues in a fraction of the time it takes traditional monitoring and APM tools.

Seeing production in hi-res with Honeycomb means two things: Users gain a clearer view into how production is behaving, and they are more efficient when investigating problems, by being able to ask any question to accelerate debugging and incident resolution within and across teams.

"Engineering and DevOps teams need a clear picture of what's actually going on in modern production environments and a tool to help better understand why an issue may be occurring," says Charity Majors, co-founder and CTO of Honeycomb. "These new features make it easier for teams to observe in real time how users interact with their code as it hits production and the context of why something is happening. This gives teams a faster path to achieving observability, embracing a culture of software ownership, and ultimately customer happiness."

New product enhancements include:

- Intuitive New Home Page features a redesigned layout that orients users with immediate access to real-time interactive charts to observe production, keeping an active eye as new code is deployed.

- BubbleUp offers instant, automatic detection of outliers, saving significant time trying to manually investigate the conditions causing the issue. Users can select suspect areas of heatmaps and see what's behaving differently from the baseline.

- Distributed Tracing Accessed With a Click directly from line graphs, histograms, or heatmaps to easily navigate across services, examine crucial details and discover latency, errors or duplicates. Users can conduct full-text search over trace spans, collapse and expand for easy viewing, and spawn new queries from a waterfall view.

- Team Collaboration and Elevation is essential, and Honeycomb makes knowledge transfer easy and organic. Users can share and search query history, replay debugging steps, curate dashboards for new team members, inform on-call, and elevate everyone to the level of the best debugger.

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 ...