Dave McAllister
where else to find them
what they talk about
all 14 in the filters
where they keep going back
- Open Source Monitoring Conference2 editions2023–2024
all 16 in the filters
on a stage with
- Adarsh Shahonce
- Alba Rivasonce
- Alberto Rodriguez-Natalonce
all 50 in the filters
who talks about the same things
- Henrik Rexed21 talks
- Juraci Paixão Kröhling17 talks
- Ted Young23 talks
- Liz Fong Jones36 talks
- Antonio Jimenez Martinez4 talks
- Ben Sigelman7 talks
| title | conference | date |
|---|---|---|
| 15 NGINX Metrics to Monitor | SREday London 2025 Q3 | 2025-09-18 |
Open source NGINX exposes roughly 10 metrics via the status module (active connections, request rate, request_time, upstream response time, error rates… | ||
| Know your data the stats behind the Alters | Devworld Conference 2025 | 2025-02-27 |
Explains concrete rules: use median for alerts because a spike barely moves it while the arithmetic mean lingers; compares arithmetic, geometric and harmonic… | ||
| The Subtle Science of Misleading with Statistics | Jfokus 2025 | 2025-02-03 |
Explains concrete ways numbers mislead: swapping arithmetic/geometric/harmonic means to change a result, hiding variance so a 105 ms mean with standard… | ||
| The Subtle Art of Lying with Statistics | Open Source Monitoring Conference 2024 | 2024-11-19 |
Shows concrete ways numbers mislead: arithmetic vs harmonic mean gives 1.56 versus 0.53 for the same dataset; geometric mean 1.01 and mode 1. Demonstrates… | ||
| Ignite: Wild Correlations and more | Open Source Monitoring Conference 2024 | 2024-11-19 |
Five minutes of slide-after-slide showing absurd but statistically strong pairings, with an explanation of R and R² and how data dredging and confounders… | ||
| The Subtle Art of Lying with Statistics | SREday London 2024 | 2024-09-19 |
Shows concrete ways numbers mislead: using arithmetic versus geometric means (reporting 1.5 hours vs 0.53 hours), hiding deviation (Death Valley mean 61°F… | ||
| The subtle art of misleading with Statistics | Monitorama PDX 2024 | 2024-06-10 |
Shows concrete tricks and real numbers: switching between arithmetic vs harmonic mean turns 1.56 hours into 0.53 hours; two samples with SD 3.3 ms and 44.8 ms… | ||
| Know your data: The stats behind your alerts | Open Source Monitoring Conference 2023 | 2023-11-07 |
Compares arithmetic, geometric and harmonic means with concrete numbers (arithmetic mean 200 rps vs harmonic 150 rps) and shows harmonic mean weights the… | ||
| IGNITE: Serving Server-Side WASM with Web Awareness with | Open Source Monitoring Conference 2023 | 2023-11-07 |
NGINX Unit now embeds a server-side Wasm runtime (using Wasmtime) so HTTP routing, TLS, reverse proxy and request context stay in the web tier while compiled… | ||
| Know your data: The stats behind your alerts | SREday 2023 London | 2023-09-14 |
Choice of central measure changes alerting: an arithmetic mean reads 13.33 req/s while a geometric mean compresses that to ~6.52 and a harmonic mean sits… | ||
| Adding OpenTelemetry to Production Apps Lessons Learned | CloudOpen @ Open Source Summit North America 2022 | 2022-06-21 |
Engineers add OpenTelemetry to an open source microservice app (Bank of Sirius) running on Kubernetes using OpenTelemetry Collector, Jaeger, Elastic Stack… | ||
| Premiere | Conf42 Cloud Native 2022 | 2022-04-28 |
A rapid lineup of concrete claims and demos: iterative canary releases with feature toggles that cut rollback time and raise SLOs, a live Argo CD demo… | ||
| Rules of Observability: The Data Edition | Conf42 Cloud Native 2022 | 2022-04-28 |
Claims that observability is a data problem: keep metrics, traces, logs at full fidelity because sampling and aggregation introduce blind spots. Demonstrates… | ||
| The Murphy's Laws of Observability | Conf42 Site Reliability Engineering 2021 | 2021-09-30 |
Claims that observability needs raw high-resolution data not glossed aggregates backed by tools: use OpenTelemetry collector to unify traces metrics logs… | ||
| Murphy’s Laws for observability | AWS Summit Online – Americas 2021 | 2021-08-24 |
Claims that observability fails when you under-sample and lose rare but critical events, showing sampled traces can appear 1–2s while full capture reveals… | ||
| Live Demo | Indy Cloud Conf 2020 | 2020-03-26 |
Live demo of Splunk shows ingestion of any structured or unstructured data with schema on-the-fly and prebuilt applications for AWS, databases, and IoT… | ||
| Seeing RED: Monitoring for Microservices and Serverless | Indy Cloud Conf 2020 | 2020-03-26 |
RED (Rates, Errors, Duration) adapts Google’s Golden Signals for microservices and serverless and focuses on concrete checks: Rates, Errors, Duration as… | ||
| Monitoring in a Kubernetes World | DeveloperWeek 2020 | 2020-02-12 |
Kubernetes adds at least four infrastructure layers (master node, worker nodes, pods, containers) so monitoring must answer where not just what — monitor the… | ||
| Seeing RED | DevOpsDays Boston 2019 | 2019-09-23 |
RED claims that monitoring focused on RED (Rates, Errors, Duration) plus logs and traces finds root causes faster; it recommends Prometheus/APM metrics… | ||
| Observability, Distributed Tracing & the Complex World | GOTO Chicago 2019 | 2019-04-29 |
Claims that distributed request tracing is the practical trace model (every request needs a unique ID) and that traces are high-volume, high-cardinality so… | ||
| Connecting Things Together, an IoT Data Protocol Story - Dave McAllister, Solace | Cloud Foundry Summit Europe 2017 | 2017-10-11 |
Built a particulate sensor on an Arduino Uno that sends MQTT into a Solace VMR which converts and forwards data to Pivotal Cloud Foundry over REST, using the… | ||
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