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Honeycomb Metrics Released

Honeycomb announced that the Honeycomb Metrics feature is generally available for its enterprise customers.

Organizations using Honeycomb for observability now have a new metrics capability to quickly identify and resolve system issues.

Used together—Honeycomb’s observability platform for exploring application data and Honeycomb Metrics for monitoring system data—developers now have complete visibility into how their code is behaving and performing, down to the individual request level, and down to the health of the underlying systems running their code. The sum of application behavior and system behavior determines the user’s experience, which can now be explored in its entirety, without having to switch between different tools, resulting in faster debugging workflows.

Honeycomb now gives engineering teams the best of both worlds: metrics for debugging system issues and event-based observability to debug application issues. It provides a single interface to identify and diagnose complex performance and quality issues, regardless of where they originate. Organizations using Honeycomb can gain quick insights into their application-level issues through observability and system-level issues through Honeycomb Metrics. This reduces the need to context switch and connect the dots between tools, which reduces the cognitive load for the team, and results in faster issue resolution.

“For too long, engineering teams have been forced to cobble together traditional monitoring tools and use metrics in ways that have proven ineffective in diagnosing the performance issues common in today’s complex environments,” said Christine Yen, CEO of Honeycomb. “Honeycomb Metrics, with native support for system-level metrics, together with event-driven observability at the application level, provides a best-in-class solution. It is a continuation of our commitment to help organizations across the globe boost their business performance.”

Honeycomb Metrics, available to all enterprise customers, ingests metrics data from OpenTelemetry, Prometheus, or Amazon CloudWatch. Visualizations of systems metrics are then created alongside application data visualizations. Customers can then quickly correlate or rule out the impacts underlying systems have on application performance, making it substantially faster and easier to identify the source of issues.

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Honeycomb Metrics Released

Honeycomb announced that the Honeycomb Metrics feature is generally available for its enterprise customers.

Organizations using Honeycomb for observability now have a new metrics capability to quickly identify and resolve system issues.

Used together—Honeycomb’s observability platform for exploring application data and Honeycomb Metrics for monitoring system data—developers now have complete visibility into how their code is behaving and performing, down to the individual request level, and down to the health of the underlying systems running their code. The sum of application behavior and system behavior determines the user’s experience, which can now be explored in its entirety, without having to switch between different tools, resulting in faster debugging workflows.

Honeycomb now gives engineering teams the best of both worlds: metrics for debugging system issues and event-based observability to debug application issues. It provides a single interface to identify and diagnose complex performance and quality issues, regardless of where they originate. Organizations using Honeycomb can gain quick insights into their application-level issues through observability and system-level issues through Honeycomb Metrics. This reduces the need to context switch and connect the dots between tools, which reduces the cognitive load for the team, and results in faster issue resolution.

“For too long, engineering teams have been forced to cobble together traditional monitoring tools and use metrics in ways that have proven ineffective in diagnosing the performance issues common in today’s complex environments,” said Christine Yen, CEO of Honeycomb. “Honeycomb Metrics, with native support for system-level metrics, together with event-driven observability at the application level, provides a best-in-class solution. It is a continuation of our commitment to help organizations across the globe boost their business performance.”

Honeycomb Metrics, available to all enterprise customers, ingests metrics data from OpenTelemetry, Prometheus, or Amazon CloudWatch. Visualizations of systems metrics are then created alongside application data visualizations. Customers can then quickly correlate or rule out the impacts underlying systems have on application performance, making it substantially faster and easier to identify the source of issues.

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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 ...

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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 ...