Observability Without Tradeoffs: Introducing Powerful New Honeycomb Telemetry Pipeline Features
With this release, you can more easily build and reconfigure telemetry pipelines and sample safely with the ability to easily pull full-fidelity data from your...
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Honeycomb Observability Day London: A Jam-Packed Day of Great Talks
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Tales From the Trench: Building With LLMs and Honeycomb
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It's The End Of Observability As We Know It (And I Feel Fine)
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Beyond Shift Left: Engineering Leaders Increase Speed and Resilience With Observability
The CoPE and Other Teams, Part 2: Custom Instrumentation and Telemetry Pipelines
The previous post laid out the basic idea of instrumentation and how OpenTelemetry’s auto-instrumentation can get teams started. However, you can’t rely only on auto-instrumentation....
Deploying the OpenTelemetry Collector to AKS
The Collector is the focal point for telemetry inside your cluster. Instead of your containerized applications sending directly to your OpenTelemetry-capable backend (the place that...
Apdex in Honeycomb
“How is my app performing?” is one of the most common, yet hardest questions to answer. There are myriad ways to measure this, like error...
Making Room for Some Lint
It’s one of my strongly held beliefs that errors are constructed, not discovered. However we frame an incident’s causes, contributing factors, and context ends up...
The CoPE and Other Teams, Part 1: Introduction & Auto-Instrumentation
The CoPE is made to affect, meaning change, how things work. The disruption it produces is a feature, not a bug. That disruption pushes things...
Destroy on Friday: The Big Day 🧨 A Chaos Engineering Experiment - Part 2
In my last blog post, I explained why we decided to destroy one third of our infrastructure in production just to see what would happen....
What Makes for a 'Good' Pair Programming Session?
Software changes so rapidly that developing on the cutting edge of it cannot fall to a single person. When it comes to asynchronously disseminating information...
Deploy on Friday? How About Destroy on Friday! A Chaos Engineering Experiment - Part 1
We recently took a daring step to test and improve the reliability of the Honeycomb service: we abruptly destroyed one third of the infrastructure in...
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...
Staffing Up Your CoPE
Getting the right people working in the CoPE is crucial to success because these change agents must limber up the organization and promote the flexibility...
Why Every Engineering Team Should Embrace AWS Graviton4
Two years ago, we shared our experiences with adopting AWS Graviton3 and our enthusiasm for the future of AWS Graviton and Arm. Once again, we're...
Modern Observability in Action at the University of Oxford
The Bennett Institute for Applied Data Science at the University of Oxford is pioneering the better use of data, evidence, and digital tools in healthcare,...