techarda
⌕
Observability

Honeycomb Is Hiring a New VP of Engineering

Honeycomb
Linked source · Honeycomb Blog
From the source: Honeycomb Blog

Honeycomb is hiring a new VP of Engineering as Emily Nakashima moves into an operational role after nine years leading engineering. We're looking for a partner to SVP Product Graham Siener.

Read the full story on Honeycomb Blog
Originally published by Honeycomb Blog on 14 Oct 2026. Techarda links to the original rather than republishing it. Read the full article →

Ask the square

The story is what was announced. If it raises a question for your team, ask the people who run this technology day to day. Your post links back to this story, so the next reader finds it too.

Ask a question about this storyStart a discussionSee the Observability space →

Recent threads in Observability

Something wrong or out of date? Suggest a correction. We reply within 5 business days.

More from Honeycomb

Recent updates from Honeycomb, so you can tell whether this is a one-off or part of a pattern.

All Honeycomb news →
Observability

Everything We Talked About at O11yDay London 2026

A recap of every session at O11yDay London 2026, from Sam Newman's cobots and dark factories to Corey Quinn on AI cost observability, plus how Honeycomb debugs its own agents with Canvas, Agent Timeline, and AI Ecosystem.

Honeycomb·via Honeycomb Blog
Observability

Honeycomb Adds Another AWS Competency: Resilience Technology

Honeycomb has achieved the Resilience Technology AWS Competency, recognizing its ability to help customers detect, investigate, and recover from failures in production systems running on AWS.

Honeycomb·via Honeycomb Blog
Observability

OpenTelemetry Collector Configuration for LLM Observability

A complete, annotated OpenTelemetry Collector configuration for LLM observability: receiving traces over OTLP, normalizing OpenInference/OpenLLMetry schemas onto GenAI semantic conventions, redacting sensitive prompt and completion content, managing volume without sampling away conversations, exporting to Honeycomb, plus validation steps and a troubleshooting table.

Honeycomb·via Honeycomb Blog

More in Observability

What other companies in Observability are doing. The category page shows who’s active, side by side.

Compare companies in Observability →
Observability

AI For DBAs: Internals and Architecture of LLMs

10/19/26 Ask a database a question, and it returns a result. Ask a large language model, and it gives you an answer too. From the outside, that can look like much the same thing. Under the hood, it’s a different story. As a DBA, I’m ...

SolarWinds·via SolarWinds Blog
Observability

Forrester study models 466% ROI from unified observability with Dynatrace

AI is adding new operational demands to already complex technology environments. Technology leaders must improve reliability and developer productivity, control costs, and demonstrate business value while understanding how AI models and agents affect the applications and infrastructure around them. Dynatrace commissioned Forrester Consulting to evaluate the potential business value of unified…

Dynatrace·via Dynatrace News
ObservabilityOriginal research

Take Grafana Labs' 5th annual Observability Survey

Over the past year, "agentic" has gone from an emerging buzzword to an integral part of worklife for many engineers, and that's just scratching the surface on all that's changed. With so much upheaval, there's never been a better time to capture the pulse of the industry, which is why we want you to take Grafana Labs' fifth annual Observability Survey . We're asking the questions you're probably…

Grafana Labs·via Grafana Labs Blog
Observability

6 improvements that make Grafana Assistant better at helping your workflows

When you ask Grafana Assistant to build a dashboard or investigate an alert, you're doing so because there's work to be done. To do that work effectively, you need the right data, changes you can inspect, and conclusions supported by evidence. You also want Assistant to avoid mistakes and act quickly. Over the past six months, our team has worked hard to improve what makes those outcomes…

Grafana Labs·via Grafana Labs Blog