Honeycomb: AI-Ready Observability Platform

Description

Honeycomb is an advanced observability platform tailored for the AI era, providing fast queries, unified telemetry, and LLM observability. It is trusted by leading companies such as Slack, Intercom, and Dropbox. The platform offers a unified solution for distributed tracing and analysis, allowing teams to gain complete visibility with data available in under 90 seconds. Engineers can explore dynamic visualizations with limitless insights, ensuring they have the context needed to solve problems efficiently.

Honeycomb enables users to resolve issues before they impact customers, with sub-10 second queries and root cause analysis in under three minutes using tools like BubbleUp. The platform supports infinite scaling, allowing users to add unlimited fields and users without extra costs, thanks to its OpenTelemetry-native design. This ensures no vendor lock-in and prepares users for future tech stack expansions.

The platform offers various pricing plans, including Free, Pro, and Enterprise, catering to different team sizes and needs. The Free plan includes up to 20 million events and 100 million time series data points per month, while the Pro plan starts at $150 per month for up to 750 million events and 3.75 billion data points. Enterprise plans offer volume discounts and additional features.

Honeycomb's observability platform is built to handle high-cardinality and high-dimensional telemetry data, supporting dynamic sampling to retain full fidelity for critical traces. It fully supports OpenTelemetry, allowing seamless integration with existing systems and providing flexibility to use other tools as needed. Honeycomb's unified telemetry model combines traces, metrics, and logs, enabling interactive querying across arbitrary attributes.

The platform is designed for modern architectures, including microservices, serverless, and container-based workloads. It integrates with over 40 programming languages via OpenTelemetry and supports various deployment pipelines, feature flags, and alerting tools. Honeycomb provides full-stack observability, offering a complete view of the user journey from frontend to backend, enhancing issue detection and resolution.

Honeycomb: AI-Ready Observability Platform's Core Features

• Fast queries and unified telemetry

• LLM observability

• Distributed tracing and analysis

• Unlimited fields and users

• OpenTelemetry-native platform

• Dynamic visualizations

• Root cause analysis with BubbleUp

• Full-stack observability

How to use Honeycomb: AI-Ready Observability Platform?

1. 1

   Configure: Set up OpenTelemetry instrumentation

2. 2

   Use: Explore dynamic visualizations

3. 3

   Optimize: Perform root cause analysis with BubbleUp

4. 4

   Scale: Add unlimited fields and users

Honeycomb: AI-Ready Observability Platform's Use Cases

• AI observability
• Distributed tracing
• Root cause analysis
• Full-stack observability
• Scalable telemetry

FAQ from Honeycomb: AI-Ready Observability Platform

• What is Honeycomb's primary function?

  Honeycomb is an observability platform designed for AI-era software, providing fast queries, unified telemetry, and LLM observability.

• How does Honeycomb handle high-cardinality data?

  Honeycomb supports high-cardinality data by allowing unlimited custom attributes and dynamic sampling to retain full fidelity for critical traces.

• What pricing plans does Honeycomb offer?

  Honeycomb offers Free, Pro, and Enterprise plans, with the Free plan including up to 20 million events and 100 million data points per month.

• How does Honeycomb integrate with OpenTelemetry?

  Honeycomb fully supports OpenTelemetry, allowing seamless integration with existing systems and flexibility to use other tools.

• What makes Honeycomb different from APM tools?

  Unlike APM tools, Honeycomb offers a unified telemetry model, interactive querying, and supports high-cardinality attributes without cost penalties.

• Can Honeycomb be used alongside other observability tools?

  Yes, Honeycomb can be used alongside other tools like Datadog by configuring the OpenTelemetry Collector to send data to multiple backends.

• What visualization tools does Honeycomb offer?

  Honeycomb provides dynamic visualizations such as heatmaps, histograms, trace waterfall views, and service maps for exploratory workflows.

• Does Honeycomb support frontend and backend observability?

  Yes, Honeycomb offers full-stack observability, providing a complete view of the user journey from frontend to backend.