OneFootball Scores an Observability Goal with Honeycomb
OneFootball recognized that observability was essential to delivering a seamless experience—and as seasoned engineers, they prioritized having the right tool to achieve it. Identifying issues...
Tracing the Line: Understanding Logs vs. Traces
In the software space, we spend a lot of time defining the terminology that describes our roles, implementations, and ways of working. These terms help...
Driving Multi-Region Observability Excellence at Lansweeper
Since its inception in 2004, Lansweeper has been at the forefront of helping businesses understand, manage, and protect their IT devices and networks through a...
Confidently Shifting from Logs-Centric to a Unified Trace-First Approach: Ritchie Bros. Journey to Modern Observability
Transitioning from a monolithic system to a cloud-native microservices environment, Ritchie Bros. sought to modernize their observability infrastructure to support the transition and fuel future...
How to Use Relational Fields: Some Nifty Use Cases
We recently introduced relational fields, a new feature that allows you to query spans based on their relationship to each other within a trace. This...
Start with Traces, not with Logs: How Honeycomb Helped Massdriver Reduce Alert Fatigue
Before Massdriver, Dave worked in product engineering where he was constantly bogged down with DevOps toil. He spent his time doing everything except what he...
Infinite Retention with OpenTelemetry and Honeycomb
Honeycomb is massively powerful at delivering detailed answers from the last several weeks of system telemetry within seconds. It keeps you in the flow state...
Trace Propagation and Public API Endpoints in .NET: Part 1 (Disable All)
One of the issues with the W3C trace context is that it doesn’t define any standards for how far a trace is to propagate. If...
Exotic Trace Shapes
OpenTelemetry and Beelines were designed with assumptions about the types of traffic that most users would trace. Based on these assumptions, web application and API...
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...
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...
How Coveo Reduced User Latency and Mean Time to Resolution with Honeycomb Observability
When you’re just getting started with observability, a proof of concept (POC) can be exactly what you need to see the positive impact of this...
Understanding Distributed Tracing with a Message Bus
So you're used to debugging systems using a distributed trace, but your system is about to introduce a message queue—and that will work the same…...
How 3 Companies Implemented Distributed Tracing for Better Insight into Their Systems
Distributed tracing enables you to monitor and observe requests as they flow through your distributed systems to understand whether these requests are behaving properly. You...
3 Easy Ways to Get Started With Distributed Tracing
We’re here to show you three ways you can jumpstart a distributed tracing effort, starting small and expanding as it makes sense. These examples involve...