Announcing Honeycomb Support Business Hours in Europe
Earlier this year, Honeycomb announced the launch of data residency in Europe. To meet the growing needs of our customers in the region, we are...
Top Posts
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Software Engineering
Culture
Establishing and Enabling a Center of Production Excellence
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Logging
Customer Stories
Empowering Engineering Excellence: Achieving a 26% Reduction in On-call Pages at Amperity with Modern Observability for Logs
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Observability
Metrics
The Cost Crisis in Metrics Tooling
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OpenTelemetry
Observability
Observability, Telemetry, and Monitoring: Learn About the Differences
What Is a Telemetry Pipeline?
In a simple deployment, an application will emit spans, metrics, and logs which will be sent to api.honeycomb.io and show up in charts. This works...
5 Ways You Can Utilize Observability to Make Your Next Migration Easier
When people hear the word “migration,” they typically think about migrating from on-prem to the cloud. In reality, companies do migrations of varying types and...
Observing the Future: The Power of Observability During Development
Modern software development—where code is shipped fast and fixed quickly—simply can’t happen without building observability in before deployments happen. Teams need to see inside the...
How Traceloop Leverages Honeycomb and LLMs to Generate E2E Tests
At Traceloop, we’re solving the single thing engineers hate most: writing tests for their code. More specifically, writing tests for complex systems with lots of...
All the Hard Stuff Nobody Talks About when Building Products with LLMs
There’s a lot of hype around AI, and in particular, Large Language Models (LLMs). To be blunt, a lot of that hype is just some...
5 Ways to Increase Release Velocity with Observability
The pressure on today’s development teams is real: innovate, release quickly, and then do it all again, only faster. Is it any surprise that studies...
Developing with OpenAI and Observability
Honeycomb recently released our Query Assistant, which uses ChatGPT behind the scenes to build queries based on your natural language question. It's pretty cool. While...
5 Ways Honeycomb Saves Time, Money, and Sanity
If debugging has sucked the soul out of your engineers, we’ve got the answer: event-based observability. Instead of spending hours and resources trying to find...
A Systematic Approach to Collaboration and Contributing to the Lattice Design System
The Honeycomb design team began work on Lattice in early 2021. Over several months, we worked to clean up and optimize typography, color, spacing, and...
How We Use Smoke Tests to Gain Confidence in Our Code
Also known as confidence testing, smoke testing is intended to focus on some critical aspects of the software that are required as a baseline. The...
Three Ways to Make the Most out of Honeycomb Metrics
A while ago, we added Metrics to our observability platform so teams could easily see system information right next to their application observability data—no tool...
Ask Miss O11y: To Metric or to Trace?
Dear Miss O11y, I remember reading quite interesting opinions from you about usage of metrics and traces in an application. Did you elaborate on those...