October 2020 Summaries

ThoughtWorks expresses a favorable opinion of Honeycomb in their Technology Radar publication, highlighting the appeal of its new, simplified pricing model and noting that their teams have a positive experience with the tool.

The "Lambda: A Serverless Musical" critique highlights the persistent importance of operations in the tech industry, despite the rise of serverless computing and the trend towards outsourcing infrastructure management. The author argues that while serverless technologies promise to reduce operational burdens, they merely shift these responsibilities to specialized providers, emphasizing the critical role of operations engineering in ensuring seamless integration and efficiency. The piece underscores the bifurcation in the industry between infrastructure-oriented roles and operationally-minded engineers, urging professionals to focus either on deep specialization in infrastructure or broad operability skills. It stresses the need for operational skills to evolve, particularly through cross-functional collaboration to enhance software delivery and observability, ensuring that as technology advances, operational expertise remains indispensable in supporting core business functions.

Honeycomb offers a sophisticated approach to uncovering hidden data patterns, particularly focusing on latency issues, by leveraging visual tools such as heatmaps and log scales. These visualizations help users to manage outliers and better comprehend data distributions, especially when examining the duration of events like spans. By creating a derived column with a logarithmic scale, users can more effectively reveal details that are obscured in traditional views, allowing them to identify distinct bands of data. Furthermore, the BubbleUp feature enhances this analysis by highlighting why certain data points differ, which is particularly useful for multimodal data often generated by multiple causes. By implementing these techniques, users can gain deeper insights into their datasets, transforming complex data into actionable information.

Nic Wise from Tend Health shares his experience of transitioning their NodeJS application from traditional logs and metrics to observability using Honeycomb in an AWS environment. In a series of blog posts, he discusses the challenges and solutions encountered in instrumenting their app with Honeycomb, particularly focusing on the importance of understanding and utilizing structured events. Nic emphasizes the transformation in his approach, where around 90% of previously created metrics became redundant as he learned to embed data within Beeline's spans. He also addresses technical hurdles such as missing spans in AWS Lambda due to the use of `async`/`await`, highlighting the value of custom instrumentation alongside auto-instrumentation. With support from Honeycomb’s Pollinators community, Nic resolves issues related to API call blocking and successfully integrates Twilio API traces by managing trace and span IDs. His documentation provides insights into the practical application of observability tools to enhance code reasoning and system understanding.

The Senior Software Engineer at DFINITY highlights the core cultural principles ingrained in the organization, particularly focusing on the creation of Service Level Objectives (SLOs) and Service Level Indicators (SLIs). He underscores the importance of ensuring that SLOs capture elements of the service that are perceptible to users, emphasizing that user satisfaction is paramount, as reflected in Charity Majors’ assertion that achieving high availability metrics is meaningless if users remain dissatisfied.