Skills
AI Observability
Continuous validation and production monitoring for AI systems. Covers the unique challenges of observing non-deterministic outputs, bridging technical and business metrics, and connecting observability data to code and user experience. Drawn from practitioners at Deepchecks, PlayerZero, and others.
- +16
Observability & Incident Response
The practice of operational reliability: instrumentation, monitoring, SLO setup, incident response, on-call design, and day-to-day reliability operations. Covers alerting strategies, error budgets, incident management processes, and blameless postmortems. Drawn from practitioners at Honeycomb, Datadog, PagerDuty, and others.
- +18
Content from the Library
O11ycast Ep. #67, Managing Infrastructure Costs with Performance Engineering
In episode 67 of o11ycast, Martin, Jess, and Liz dive deep on performance engineering. Pulling heavily from Lizās extensive experience in the field, they share insights on utilizing data to balance resources like developersā time and infrastructure costs. Listeners can expect to learn helpful lessons on infrastructure optimization, performance data accessibility, and why Honeycomb embraced Kubernetes.
Generationship Ep. #2, Putting LLMs to Work with Liz Fong-Jones and Phillip Carter of Honeycomb
In episode 2 of Generationship, Rachel Chalmers speaks with Liz Fong-Jones and Phillip Carter of Honeycomb. Together they explore use cases for LLMs, insights on navigating AI hallucinations, the tradeoffs between prompt engineering and fine-tuning, and the privacy and security implications inherent to commercial LLMs.
O11ycast Ep. #58, Game Development with Brenna Moore of Second Dinner
In episode 58 of o11ycast, Jess and Liz speak with Brenna Moore of Second Dinner. This conversation explores game development and the many ways the industry has evolved, the infrastructure side of gaming, semantic conventions within the code, and career opportunities for developers aspiring to enter the field.
