Honeycomb announced the launch of two groundbreaking products: Honeycomb Telemetry Pipeline and Honeycomb for Log Analytics.
These updates empower organizations to transform how they understand their software systems, and bridges the gap between traditional monitoring and cutting-edge observability practices. Teams can develop greater effectiveness, proactivity, and resilience in managing complex systems.
Honeycomb's new Telemetry Pipeline and Log Analytics features round out its unified observability platform, empowering engineering teams to manage and analyze log data with speed, efficiency, and confidence, transforming observability from a cost center to a value driver.
"Enterprises face a growing challenge as telemetry data increases exponentially, legacy systems struggle to keep pace, and costs spiral out of control," said Christine Yen, CEO and Co-Founder of Honeycomb. "Honeycomb's expanded platform, with the addition of our Telemetry Pipeline and Log Analytics, provides a centralized solution that tames data chaos and unlocks critical insights from logs. This unified view empowers teams to quickly identify, understand, and resolve issues, freeing up time to focus on the innovation that keeps them competitive."
Honeycomb's suite of new features are designed to make it both technically and economically feasible to harness all telemetry data, enabling customers to ask better questions, explore data more effectively, and gain deeper insights into system behavior. They include:
- Honeycomb Telemetry Pipeline: Leverage various data processing capabilities (collect, enrich, filter, sample, route, and more) to derive more value from your telemetry data than ever before. Start with existing data sources and transition over time to advanced observability practices. Our flexible, OpenTelemetry-powered architecture enables scaling without prohibitive costs or technical barriers.
- Honeycomb for Log Analytics: Use the full power and speed of Honeycomb's analysis engine on log data, thanks to a much more log-native experience—no configuring of indexes necessary.
- New Logs homepage: Surfaces insights instantly and enables users to freely group or filter by any fields and values – even custom ones, at no additional cost – to better understand the state of their systems.
- Explore Data function: Allows teams to conduct further open-ended exploration in a table or log line view, enabling teams to scan and parse through log lines sequentially in a single view and run follow-up queries in a single click.
The Latest
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 ...
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 ...