Honeycomb is the observability platform built for AI-era software. Fast queries, unified telemetry, and LLM observability. Used by Slack, Intercom, and Dropbox.
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In a really broad sense, the history of observability tools over the past couple of decades have been about a pretty simple concept: how do we make terabytes of heterogeneous telemetry data comprehensible to human beings? We’ve seen different companies tackle this in different ways for technology like Ruby on Rails…
People rarely talk about how they made it into the role of VP of Engineering. Join Emily as she opens up about the process - good and bad.
In this post, Phillip talks through the challenges & pitfalls of LLMs we faced when building our Query Assistant - and that you too may face.
Old observability metrics like uptime and MTTR aren't enough anymore. Teams must connect technical signals to business outcomes, like savings and speed.
Charity Majors challenges managers to better understand the life of on-call engineers and how to share that on-call ownership among the team.
This blog takes a deep dive into the hows and whys of time series databases—and why Honeycomb couldn't be limited to a TSDB implementation.
See how Honeycomb reduced Kafka cost by a total of 87% per megabyte/sec of throughput w/ AWS’s new Amazon EC2 lm4gn instance family and Confluent Tiered Storage.
Join Emily for part 2 of her series on becoming VP of Engineering, where she opens up about the good and bad parts of transitioning to VP.