Liz Fong Jones
where else to find them
website:https://www.lizthegrey.com
github:lizthegrey
bluesky:lizthegrey.com
linkedin:efong
devto:lizthegrey
what they talk about
all 15 in the filters
where they keep going back
- KubeCon + CloudNativeCon North America2 editions2019–2021
- The Lead Developer London2 editions2018–2019
all 28 in the filters
on a stage with
all 17 in the filters
who talks about the same things
- Henrik Rexed21 talks
- Neel Shah13 talks
- Juraci Paixão Kröhling17 talks
- Shivanshu Raj Shrivastava11 talks
- Anurag Gupta16 talks
- Christine Yen10 talks
| title | conference | date |
|---|---|---|
| 30 to 70 PRs a day: How we managed to not wreck our systems | PyCon AU 2026 | 2026-08-26 |
Data and concrete changes decide whether to watch not buzzwords Here is what the session actually claims and shows over eighteen months at Honeycomb a monorepo… | ||
| Making Reproducible Builds Faster with Docker Bake | SREcon25 Europe/Middle East/Africa | 2025-10-07 |
Honeycomb replaces multi-step workspace copying with Docker Bake plus BuildKit to keep outputs on one worker and chain targets, eliminating writing ~3 GB per… | ||
| Lightning Talk - AI is Like Chocolate | SREcon25 Europe/Middle East/Africa | 2025-10-07 |
Claim: AI is useful but not universal — it works in many pipelines but breaks when shoehorned everywhere. Recommendations: always disclose training data use… | ||
| Scaling Telemetry Systems with Streaming & Serverless | NDC Melbourne 2025 | 2025-04-29 |
Telemetry ingestion grows from ~200k to 4 million trace spans/sec so Kafka becomes the persistent, ordered buffer with hourly consumer checkpoints to S3… | ||
| Using Serverless & ARM64 for Real-Time Observability | GOTO Chicago 2024 | 2024-10-21 |
Built a query engine (Retriever) that pulls recent NVMe segments and months of archive from S3, shards the work into tens of thousands of AWS Lambda workers… | ||
| Building & Running a Scuba-Inspired Observability Tool | Reliability @Scale 2024 | 2024-10-09 |
Honeycomb builds Retriever, a columnar datastore that pairs NVMe-local shards and Kafka ingest with S3 tiering and tens of thousands of concurrent Lambdas for… | ||
| Using serverless functions for real-time observability | CPH DevFest 2024 | 2024-08-26 |
A custom retriever column store (ClickHouse-like) moves older shards to S3 and farms queries to AWS Lambda + S3 workers so interactive queries cover months of… | ||
| GitOps Sustainability with Flux and arm64 | cdCon + GitOpsCon 2023 | 2023-05-08 |
Honeycomb migrates many services from x86 to arm64, reporting 30–40% price-performance gains and running 20–30% fewer instances while keeping latency steady… | ||
| Scaling Telemetry Systems with Streaming | SREcon23 Americas | 2023-03-21 |
Company telemetry grows from 250k to 2.5M events/sec so Kafka becomes the single ingest path; architecture uses ~100 partitions (~200 indexers) with ~50k… | ||
| Managing to Your SLO Amidst Chaos | YOW! Melbourne 2022 | 2022-12-08 |
Company runs 14 deployments per day while ingesting ~2 million data points/sec and targets four nines for core ingest, using Kafka + S3 and Kafka+S3 replay to… | ||
| Using Serverless Functions for Real-time Observability | SREcon22 Americas | 2022-03-14 |
A sub-second query engine at honeycomb.io moves from RAM to local SSD to months of S3-backed segments, then parallelizes heavy queries by spawning 30,000… | ||
| Cultivating Production Excellence | linux.conf.au 2022 | 2022-01-14 |
Argues for measurable production excellence: set SLIs/SLOs (example target 99.9% over 30 days), compute an error budget (1/1,000 requests → 10,000… | ||
| Panel: Observability | SREcon21 | 2021-10-12 |
Panel argues observability requires concrete tradeoffs not slogans, showing tools and limits: OpenTelemetry focuses on vendor‑neutral SDKs but not backend… | ||
| Optimizing Cost and Performance with arm64 | SREcon21 | 2021-10-12 |
Honeycomb.io evaluates and then migrates core services to arm64 over a year, moving 92% of compute workloads to Graviton2 m6g instances; ingestion service… | ||
| Cloud Native and Kubernetes Observability Panel: The State of Union | KubeCon + CloudNativeCon North America 2021 | 2021-10-11 |
Panel gives concrete outcomes and tooling: real cases where tracing and metrics reduced 99th percentile latency by half, adoption paths using OpenTelemetry… | ||
| Identifying Hidden Dependencies | SREcon20 Americas | 2020-12-07 |
Honeycomb deliberately terminates nodes on purpose to test Zookeeper, Kafka, and indexing durability, running controlled restarts every Monday at 3 PM and… | ||
| Organizing for your Ethical Principles | Percona Live Online 2020 | 2020-10-20 |
Examples include Theranos producing bad test kits, Volkswagen cheating emissions tests, Cambridge Analytica running micro‑targeted propaganda, LaLiga’s app… | ||
| Understanding Distributed Systems with OpenTelemetry | All Things Open 2020 | 2020-10-19 |
Claims that OpenTelemetry gives a single set of APIs and automatic instrumentation to observe distributed systems, then demonstrates it: instrumenting a Go… | ||
| Identifying Hidden Dependencies | Chaos Conf 2020 | 2020-10-06 |
Honeycomb deliberately kills and restarts stateful services (Zookeeper, Kafka, homegrown storage) to find hidden dependencies: manual experiments reveal a… | ||
| Tradeoffs on the road to Observability | LeadDev Live 2020 | 2020-04-07 |
Concrete claims and measurable outcomes steer the choice: a 33‑person company Honeycomb.io reports they deploy up to 10 times per day, keep change failure… | ||
| Cultivating Production Excellence | NDC DevOps 2020 | 2020-03-11 |
Argues that production excellence requires measurable SLOs, observable telemetry, collaboration, and risk-driven prioritization; recommends defining SLI… | ||
| Keynote: (Open)Telemetry Makes Observability Simple | KubeCon + CloudNativeCon North America 2019 | 2019-11-18 |
A merged OpenTracing and OpenCensus becomes OpenTelemetry that provides a single instrumentation API, a language-neutral collector and SDKs for seven… | ||
| Cultivating Production Excellence | ITNEXT Summit 2019 | 2019-10-30 |
Defines production excellence as measurable practices: set 99.9% over 30 days SLOs (example: HTTP 200 and <100ms), compute the error budget (one in a thousand… | ||
| Refining Systems Data without Losing Fidelity | SREcon19 Europe/Middle East/Africa | 2019-10-02 |
Observability at production scale is unaffordable if every event is stored: a 99.95% SLO produces ~2,000× more “good” events than failures. The concrete plan… | ||
| Cultivating production excellence | O'Reilly Velocity Conference 2019 | 2019-06-10 |
Taming the complex distributed systems we’re responsible for doesn’t just require changing the tools and technical approaches we use; it also requires changing… | ||
| How to detangle and understand production | The Lead Developer New York 2019 | 2019-04-30 |
Argues for concrete practices: define 99.9% SLO over 30 days on business events, measure SLIs like HTTP 200 under 300ms, and use error budget to decide ship… | ||
| SRE for Good: Engineering Intersections between Operations and Social Activism | SREcon18 Europe/Middle East/Africa | 2018-08-29 |
Engineers are told to prevent harm by acting early: catch biased models (one government classifier was changed so it if true return detain), stop platforms… | ||
| Keynote: Build skills through hobbies! Bring them to work! | !!Con 2018 | 2018-05-12 |
Claims that Puzzle Pirates, World of Warcraft, EVE Online and Factorio produce concrete, transferable skills: mentoring and community building, incident… | ||
| Improving Reliability w/ Error Budgets & SRE | The Lead Developer New York 2018 | 2018-04-24 |
Argues that reliability improves only when teams use concrete metrics and automation: define SLIs/SLOs/SLAs, track a service level objective (example: 95th… | ||
| Resolving Outages Faster with Better Debugging Strategies | SREcon18 Americas | 2018-03-27 |
Claims that replacing static dashboards with on-the-fly query editing and trace-linked samples cuts mean time to resolve: use a query editor to layer peel from… | ||
| Resolving Outages Faster With Better Debugging Strategies | DevOpsDays NYC 2018 | 2018-01-18 |
A concrete workflow that replaces “look at dashboards” with dynamic query evaluation, arbitrary data joins, and exemplars/dynamic sampling finds a single bad… | ||
| Managing Up and Sideways as an SRE | SREcon16 Europe | 2016-07-11 |
Describes concrete tactics SREs can use without title change: mentorship as mentoring, coaching, sponsoring, using Situation-Behavior-Impact feedback, and… | ||
| Relieving Technical Debt through Short Projects | SREcon16 Europe | 2016-07-11 |
Teams run one- to two-week interrupt reduction projects on a weekly rotation so one site handles most pages while the other focuses on short automation, docs… | ||
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