
The Luvo 100 / ANZ
Luvo 100 ANZ↓ 31
Liz Fong-Jones
Technical Fellow
Honeycomb
Australia
Performance & Reliability
Why Liz Fong-Jones is in the Luvo 100
Liz combines practical reliability engineering with clear, accessible knowledge-sharing. The Honeycomb investigation gives engineers a concrete example of comparing infrastructure changes under matched workloads, with public queries and data to examine. Conference discussion leadership also creates space for practitioners to exchange experience, helping teams make better-informed decisions about performance, monitoring and service reliability.
About
Liz Fong-Jones is Technical Fellow at Honeycomb, working on observability and systems reliability. With over two decades of experience across developer advocacy and site reliability engineering, Liz previously worked at Google on products including Google Cloud Load Balancer and Google Flights.
At Honeycomb, Liz evaluates infrastructure changes through controlled comparisons under real production workloads. A published investigation compared two generations of AWS Graviton processors running side by side for 60 days while holding the workload constant. Every measured service used 11–26% less processing capacity for identical work. The investigation was also made public and interactive, allowing readers to explore the queries and data behind the findings.
Alongside engineering analysis, community leadership remains a central focus. At SREcon26 Americas, Liz co-led an open discussion on monitoring and observability with Daria Barteneva, inviting engineers to compare tools, working practices and operational challenges. Both the published investigations and collaborative sessions connect software quality to empirical evidence from live services and shared engineering experience.
Career highlights
- Technical Fellow at Honeycomb, bringing over two decades of engineering experience
- Previously worked in site reliability engineering at Google on products including Google Cloud Load Balancer and Google Flights
- Published a 60-day interactive comparison of AWS Graviton processor generations under live production workloads
- Co-led the Monitoring and Observability discussion at SREcon26 Americas with Daria Barteneva