Molly Struve
where else to find them
what they talk about
all 6 in the filters
where they keep going back
- RubyConf2 editions2018–2019
all 5 in the filters
on a stage with
never shared a talk
who talks about the same things
- Jeremy Hinegardner9 talks
- Eileen M Uchitelle29 talks
- Richard Schneeman23 talks
- Andre Arko23 talks
- Aaron Patterson89 talks
- Christian Bruckmayer4 talks
| title | conference | date |
|---|---|---|
| Calling out a terrible on call system | LeadDev New York 2022 | 2022-04-05 |
A company with ~15 developers and an SRE team of three breaks a single giant rotation into three rotations, assigns ownership of workers, alerts and monolith… | ||
| Elasticsearch 5 or and Bust | RubyConf 2019 | 2019-11-18 |
Upgrade from Elasticsearch 2 to 5 breaks a critical Kenna Security search backend: a 21-node cluster spikes CPU and crashes because a bug turned filters into… | ||
| Building a Scalable Monitoring System | SREcon19 Europe/Middle East/Africa | 2019-10-02 |
Company consolidates six disparate monitors (New Relic, Honeybadger, PagerDuty, LastAlert, StatusCake plus cron/dashboard checks) into Datadog as a single… | ||
| Cache is King | RailsConf 2019 | 2019-05-01 |
Shows concrete wins using Ruby and Rails with MySQL Redis and Elasticsearch: replaces ActiveModelSerializers with Bulk Serialization and a cache class to drop… | ||
| Cache is King: Get the Most Bang for Your Buck From Ruby | Ruby Hack 2019 | 2019-04-04 |
Shows concrete fixes and measurable wins: using Ruby to implement bulk serialization for 200M vulnerability records drops 300-item serializations from ~2100… | ||
| Cache is King: Get the Most Bang for Your Buck From Ruby | RubyConf 2018 | 2018-11-28 |
Uses Ruby to cut external hits: implements bulk serialization so 300 vulnerabilites go from 2,100 MySQL calls to seven (roughly 7,000 calls per 1,000 down to… | ||
| nothing matches | ||