Tobias Kässmann
where else to find them
what they talk about
all 5 in the filters
where they keep going back
- code.talks2 editions2017–2022
- code.talks commerce2 editions2018–2019
on a stage with
- Jonas Leineonce
- Katharina Titzonce
- Tom Gilkeonce
all 4 in the filters
who talks about the same things
- Lucian Precup21 talks
- Patrick Schemitz2 talks
- Seema Saharan8 talks
- Prashant Agrawal3 talks
- Eric Pugh13 talks
- Satej Sahu6 talks
| title | conference | date |
|---|---|---|
| How we built the lightning fast autosuggest for otto.de | code.talks 2022 | 2022-09-15 |
OTTO’s autosuggest handles about 3 million visits per day and peaks near 400 req/s with P99 ~20–30 ms. Architecture separates a Kotlin/Spring distribution… | ||
| How to Build and Monitor a Fast and Reliable Search Application | code.talks commerce 2019 | 2019-04-09 |
Mondia’s search backend powers streaming and DTO services for millions of users (customers include o2 and Vodafone in Germany); the team implemented streaming… | ||
| How to start personal search | code.talks commerce 2018 | 2018-04-25 |
Introduces how to build a personal search system for e-commerce using developer-focused techniques. Covers practical steps and technologies for implementing… | ||
| Scaling Grandma’s Hefezopf | code.talks 2017 | 2017-09-28 |
A product-widget integration for recipe sites scaled to handle a sudden 6 million views against a ~60 million‑product Solr index and 330k recipe URLs. It uses… | ||
| Gain speed and space with NLP in Solr #bbuzz | Berlin Buzzwords 2016 | 2016-06-05 |
With Apache Solr at Shopping24 an index-time pipeline drops 60 million plus product noise to scale from 3M toward 100M by storing only significant terms. A… | ||
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