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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.

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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 ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

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 ...