Jessica Kerr
Senior Manager, Developer Relations
Jess is a symmathecist, in the medium of code. She sees development teams as learning systems made of people and running software. If we make that software teach us what’s happening, it’s a better teammate. And if this process makes us into systems thinkers, we can be better persons in the world.
Tame Your Telemetry: Introducing the Honeycomb Telemetry Pipeline
Observability means you know what’s happening in your software systems, because they tell you. They tell you with telemetry: data emitted just for the people...
How to Get Infinite Custom Metrics For Free
Oh no, I’m getting out-of-memory errors! How much memory is my app using? To find out, we go look for a metric that tells us...
Honeycomb + Google Gemini
Today at Google Next, Charity Majors demonstrated how to use Honeycomb to find unexpected problems in our generative AI integration. Software components that integrate with...
APM From a Developer’s Perspective
In twenty years of software development, I did not have the privilege of being on call, of tending to my software in production. I’ve never...
Where Does Honeycomb Fit in the Software Development Lifecycle?
The software development lifecycle (SDLC) is always drawn as a circle. In many places I’ve worked, there’s no discernable connection between “5. Operate” and “1....
Ship First, Model Later: A Short Recap of AI.Dev
In a keynote at AI.Dev, Robert Nishihara (CEO, Anyscale) described the shift: A year ago, the people working with ML models were ML experts. Now,...
Experiments in Daily Work
In high school chemistry and then college physics labs, we learned a strong definition of "experiment." Experiments are tied to the Scientific Method, responsible for...
Observability and the DORA metrics
The Accelerate State of Devops Report highlights four key metrics (known as the DORA metrics, for DevOps Research & Assessment) that distinguish high-performing software organizations:...
What Observability-Driven Development Is Not
At Honeycomb, we are all about observability. In the past, we have proposed observability-driven development as a way to maximize your observability and supercharge your...
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...
Observable Frontends: the State of OpenTelemetry in the Browser
The modern standard for observability in backend systems is: distributed traces with OpenTelemetry, plus dynamic aggregations over these events. This works very well in the...
Ask Miss O11y: Error: missing ‘x-honeycomb-dataset’ header
Your API Key (in the x-honeycomb-team header) tells Honeycomb where to put your data. It specifies a team and an environment. Then, Honeycomb figures out...
Caring for Complex Systems: We Can Do This
When we work at it, professionals are pretty good at analysis. We can break down a simple system, look at its parts and their relations,...
NS1 Implements Honeycomb to Democratize Their Code and Spark Customer Joy
The line from observability to customer joy is straighter than you think. We recently learned this from NS1, a managed DNS provider and Honeycomb customer,...
Iterating on an OpenTelemetry Collector Deployment in Kubernetes
When you want to direct your observability data in a uniform fashion, you want to run an OpenTelemetry collector. If you have a Kubernetes cluster...