Honeycomb
Honeycomb provides full stack observabilitydesigned for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together
- 35 updates · 30dTop focus: Other★ 4.6 G2
73 updates from Honeycomb and New Relic in the last 30 days. We read them all so you don't have to.
Honeycomb provides full stack observabilitydesigned for high cardinality data and collaborative problem solving, enabling engineers to deeply understand and debug production software together
New Relic is the industry's largest and most comprehensive cloud-based instrumentation platform to help customers create more perfect software.
Honeycomb positions itself as a full-stack observability tool tailored for handling high-cardinality data and fostering collaborative debugging among engineering teams, emphasizing deep visibility into complex systems. New Relic frames itself as a comprehensive cloud-based instrumentation platform aimed at helping organizations build and optimize software through broad monitoring and analytics capabilities. Honeycomb’s focus on high-cardinality data and team collaboration contrasts with New Relic’s emphasis on a wide array of features and scalability for enterprise environments.
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Weekly updates per vendor, last 12 weeks.
Page-type activity over the last 30 days. Brighter cells = more updates.
New Relic demonstrated more extensive product and feature activity this period, focusing on data integration and AI-driven operations through the launch of New Relic Lens for federated querying and the introduction of a Cursor AI editor plugin. Their updates emphasized unified visibility, including APM 360 capabilities and expanded support for AIOps and cloud cost management. In contrast, Honeycomb’s activity centered on community engagement and thought leadership, highlighted by the release of the second edition of their *Observability Engineering* book and several upcoming workshops and events focused on AI complexity and microservices. While New Relic emphasized platform breadth and data correlation, Honeycomb focused on deepening practitioner expertise and industry standards.
Last updates we detected for each vendor.
Honeycomb showcases how Fin (formerly Intercom) used observability and AI-driven code reviews to nearly triple engineering productivity. The discussion features Fin's CTO, Darragh Curran, explaining how measurement and observability maintai
Honeycomb reshared Liz Fong-Jones's post about an upcoming Masterclass for engineering leaders on September 2 regarding observability outcomes.
Honeycomb shared a case study detailing how hipages Group used their observability platform to identify and resolve a 7% failure rate in critical API calls. The post highlights the direct link between technical reliability and business succ
Honeycomb reshared Liz Fong-Jones's post about an upcoming Masterclass for engineering leaders focused on evaluating observability outcomes through concrete evidence.
Honeycomb released the opentelemetry-collector-samplerstate repository, which provides sampler state extensions for the OpenTelemetry Collector to improve telemetry sampling capabilities.
New Relic offers observability tools to visualize Content Security Policy (CSP) violation reports captured via New Relic Browser. These tools help users identify blocked resources and detect client-side attacks like script injection.
New Relic explains the fundamentals of NRQL, a purpose-built query language for analyzing telemetry data in NRDB. The language allows users to perform complex calculations and create custom charts, alerts, and dashboards.
New Relic released New Relic Lens, a federated query engine that enables users to query Snowflake, BigQuery, and Postgres directly within the platform to correlate telemetry with business data.
New Relic has published a new GitHub repository called cursor-plugin, which appears to be an early-stage integration for the Cursor AI editor.
New Relic showcases how Verisk utilized the Model Context Protocol (MCP) and AWS DevOps Agent to automate root-cause analysis and reduce alert fatigue. The integration resulted in a 59% reduction in alert volume and a 50% improvement in MTT
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