Baron Schwartz
where else to find them
x:xaprb
what they talk about
all 6 in the filters
where they keep going back
no series more than once — all 7 in the filters
on a stage with
- Kyle Redingeronce
who talks about the same things
- Starr Horne7 talks
- Matt Yonkovit17 talks
- Leonid Igolnik14 talks
- Andy Pavlo8 talks
- David Ostrovsky20 talks
- Greg Smith4 talks
| title | conference | date |
|---|---|---|
| Bringing DevOps To The Database | DevOpsDays Chicago 2019 | 2019-08-27 |
Argues databases resist DevOps because they are stateful and legacy, and offers concrete, repeatable steps drawn from a decade of study and many case studies… | ||
| Approaching the Unacceptable Workload Boundary | SREcon18 Americas | 2018-03-27 |
Systems degrade across a fuzzy unacceptable workload boundary rather than a sharp limit; load is usefully defined as the sum of residence times (average… | ||
| Scalability Is Quantifiable: The Universal Scalability Law | LISA17 | 2017-10-29 |
Claim: scalability is a simple quantitative function. The Universal Scalability Law models throughput vs concurrency with two measurable parameters: sigma… | ||
| Breakout Session | PGConf Silicon Valley 2015 | 2015-11-17 |
Captures Postgres traffic off the wire using VividCortex TCP sniffing libraries and a libpcap-based reassembly pipeline, emitting a MySQL slow‑query–style text… | ||
| Building Database Applications with Database/SQL | GopherCon 2014 | 2014-04-24 |
Demonstrates using Go's database/sql with MySQL and gives concrete rules: open creates a long‑lived DB object, use exec for non‑row commands and close rows… | ||
| Apply Small Data to Big Data | Strata Conference New York + Hadoop World 2013 | 2013-10-28 |
Argues that most big-data projects become expensive fluff and instead turn big data into small data by measuring fewer, targeted metrics. Describes a product… | ||
| Building on Strengths, Learning from Differences | O'Reilly MySQL Conference & Expo 2011 | 2011-04-11 |
Argument that open source databases must evolve into systems that natively shard and scale to tens of terabytes and beyond to petabytes, run efficiently on… | ||
| Causes of Downtime in MySQL | O'Reilly MySQL Conference & Expo 2011 | 2011-04-11 |
Analysis of several hundred emergency cases finds three main categories of downtime with most faults outside MySQL in the operating environment; the single top… | ||
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