Blog

Meet the Author

Liz Fong-Jones

Technical Fellow, Honeycomb

Liz is a developer advocate, labor and ethics organizer, and Site Reliability Engineer (SRE) with over two decades of experience. She previously worked on products ranging from the Google Cloud Load Balancer to Google Flights.

March 18, 2020

Observations on ARM64 & AWS’s Amazon EC2 M6g Instances

At re:Invent in December, Amazon announced the AWS Graviton2 processor and its forthcoming availability powering Amazon EC2 M6g instances. While the first-generation Graviton processor that powered A1 instances was better suited to less compute-intensive…

Dogfooding

Operations

November 21, 2019

Incident Report: Running Dry on Memory Without Noticing

On November 6, 2019, we intermittently rejected 1-3% of customer telemetry data at ingest for four periods of 20 minutes each. The trigger of the incident was a slow memory leak that manifested over…

Treading in Haunted Graveyards

Part 1: CI/CD for Infrastructure as Code At Honeycomb, we’ve often discussed the value of making software deployments early and often, and being able to understand your code as it runs in production. However,…

Making Instrumentation Extensible

Observability-driven development requires both rich query capabilities and sufficient instrumentation in order to capture the nuances of developers’ intention and useful dimensions of cardinality. When our systems are running in containers, we need an…

Instrumentation

Software Engineering

May 17, 2019

Dynamic Sampling by Example

Last week, Rachel published a guide describing the advantages of dynamic sampling. In it, we discussed varying sample rates to achieve a target collection rate overall, and having different sample rates for distinct kinds…

A New Bee’s First Oncall

I’m Honeycomb’s newest engineer, now on my eighth week at Honeycomb. Excitingly, I did my first week of oncall two weeks ago! Almost every engineer at Honeycomb participates in oncall, and I chose to…

Meet the Author

Liz Fong-Jones

Explore Author's Blog

Observations on ARM64 & AWS’s Amazon EC2 M6g Instances

Incident Report: Running Dry on Memory Without Noticing

Treading in Haunted Graveyards

Making Instrumentation Extensible

Dynamic Sampling by Example

A New Bee’s First Oncall