August 2021 Summaries

Forrester Consulting conducted an independent study to assess the financial impact of deploying Honeycomb for observability, highlighting a substantial ROI of 296% and a net present value of $4.43 million over three years. The study found that organizations in the high-tech, financial services, and fintech industries could achieve significant cost savings and increased revenue by using Honeycomb, which excels in real-time querying and high-cardinality data analysis. Customers reported benefits such as faster incident response, reduced developer turnover, and improved system uptime, which enhance customer experiences and operational efficiency. Honeycomb's capabilities allow teams to quickly analyze data and identify the root causes of production issues, offering a solution to challenges posed by traditional metrics and logging tools. This observability tool helps organizations reduce dependency on legacy solutions, lower operational costs, and prevent incidents, ultimately driving better business outcomes and improving job satisfaction among developers.

OpenTelemetry (OTel) is an emerging open-source, vendor-agnostic observability framework that facilitates the instrumentation, collection, and export of telemetry data across various programming languages, quickly becoming the industry standard. Honeycomb is actively supporting and contributing to the growth of OTel by integrating it into their platform, providing specific distributions for languages like Java and .NET, and enabling seamless data export to Honeycomb without proprietary constraints. This shift from proprietary solutions like Beelines to open standards like OTel allows for greater flexibility, avoiding vendor lock-in and enabling users to send telemetry data to multiple backends. Honeycomb's investment in OTel includes supporting OTLP ingestion over HTTP, developing more distributions, contributing to upstream projects, and planning to support experimental features such as OTLP log data in the future. They encourage community feedback and collaboration in this transition to a more open and versatile instrumentation ecosystem.

Honeycomb utilizes a purpose-built distributed column store to achieve high-performance observability by enabling fast queries on high-cardinality data without predefined schemas or indexes. Inspired by Facebook Scuba, Honeycomb's architecture allows for dynamic data ingestion and querying, storing each event as a wide row in a column-oriented database. This structure facilitates efficient aggregations and real-time analysis by keeping all data unaggregated and easily accessible, which is crucial for uncovering insights and debugging complex systems. The distributed column store design inherently supports parallel processing, enabling the swift computation of aggregates by distributing data across multiple machines. This approach distinguishes observability from traditional monitoring by allowing data to be sliced and diced in any dimension, providing deep insights into application behavior and user experience.