Honeycomb Users Are Living in the Future, Part 1: Sampling
Many engineers & leaders are under pressure to apply sampling for cost savings purposes, but are concerned with the impacts on data quality.| Honeycomb
Many engineers & leaders are under pressure to apply sampling for cost savings purposes, but are concerned with the impacts on data quality.| Honeycomb
Claude Code added OpenTelemetry metric and log support in a recent release, which led Austin to ask, can Claude Code observe itself?| Honeycomb
Honeycomb recently hosted Observability Day London. Read a recap from Ken as he goes over all the talks and key takeaways from the day.| Honeycomb
In part 3 of this OpenTelemetry Best Practices series, Martin Thwaites goes over the Transform processor and redacting sensitive data.| Honeycomb
Honeycomb is the only observability platform you need. Get all your data in one unified platform with limitless possibilities.| Honeycomb
In this blog post, Charity Majors goes over the reasons it's time to version observability, and what to expect from observability 2.0.| Honeycomb
I’ve said this before, but I’m saying it again: observability is not a synonym for monitoring, and there are no three pillars. The pillars are bullshit. Briefly: monitoring is how you manage your known-unknowns,...| Honeycomb
Our Authors' Cut series takes a deep dive into our O’Reilly Observability Engineering book. Join us for this session on structured events.| Honeycomb
CCP Games shares how Honeycomb is critical to EVE Online’s continued evolution & their migration from monolith to microservices with Quasar.| Honeycomb
The Honeycomb observability platform provides a single source of truth for your data with robust anomaly detection & dynamic visualizations.| Honeycomb
In part 6 of his series, Nick goes over techniques that grant teams and orgs the capacity to treat prod as a veritable source of information.| Honeycomb
Engineering has come a long way since the days of delivering discrete, point-in-time products that were often packaged on a CD and shipped to customers. The days of physical media and long development cycles are long gone. The advent of cloud computing and the rise of Software-as-a-Service (SaaS) transformed the landscape, creating a new model of continuous development and service delivery. This shift has not only revolutionized how software is developed, but has also redefined the engineer...| Honeycomb
Learn how embracing full-stack observability today sets the stage for a more resilient, agile, and successful tomorrow.| Honeycomb
This post described two types of alerts - reactive and proactive - and how a CoPE should approach each type.| Honeycomb
Learn how Honeycomb’s unique datastore makes it possible for you to find issues for a single user or complex patterns across multiple users & services.| Honeycomb
Instrument code, even if it is written by someone else, by using Honeycomb and OpenTelemetry, mixed with automatic and manual instrumentation.| Honeycomb
It’s the goal of monitoring, logging, and observability tools to help the systems’ “stewards” make sense of signals. Learn more today.| Honeycomb
“How is my app performing?” is one of the most common, yet hardest questions to answer. Enter the Application Performance Index (aka Apdex).| Honeycomb
Linting provides a cheap feedback loop, requires little setup, and can capture risky patterns. See which linter we chose and why.| Honeycomb
In part two of Lex's blog series, we find out: How did our chaos engineering test go? Did our customers experience downtime or latency?| Honeycomb
Ruthie goes over why pair programming is important and offers best practices to make a pairing session effective for both parties. Learn more!| Honeycomb
In part 3 of Nick Travaglini's CoPE series, Nick goes over how to staff your CoPE with the right people to affect change in the organization.| Honeycomb
Honeycomb engineers provide an early look into Amazon’s newly released R8g instances powered by the AWS Graviton4 processor.| Honeycomb
We’re thrilled to share that we’ve made significant enhancements to BubbleUp. Learn about Permalinks, Result Filtering, and more!| Honeycomb
Terra investigates an incident where some SQL updates caused Kafka Connect to send a larger amount of data than normal to our brokers.| Honeycomb
Alex explains distributed column stores, how they work, why they're so fast, and why that's a fundamental requirement for observability.| Honeycomb
In this post, we’ll elaborate on the 4 characteristics a CoPE should embody and why, and how to achieve that status.| Honeycomb
In this post, we’ll talk about the concept of a Center of Production Excellence and how such a group can bolster the greater organization.| Honeycomb
Level up anomaly detection with Honeycomb's BubbleUp. Dive into your data to identify issues across events, services, and more.| Honeycomb
In this edition of our Authors' Cut webinar series, we go over what to build vs buy. Hint: it's not as black and white as it seems.| Honeycomb
In this post, Phillip talks through the challenges & pitfalls of LLMs we faced when building our Query Assistant - and that you too may face.| Honeycomb
