Less then ten days remain in our Trust Us Ticket sale! Get yours now at our website — they make for a lovely Christmas present! ;) 2024.berlinbuzzwords.de/tickets

At Berlin Buzzwords 2023, Anshum Gupta discussed the motivation that led to the development of the new Cross Data Center (XDC) Replication module in Apache Solr and explored the capabilities it offers making it disaster ready. youtu.be/z9OLNWrYihk

Large Language Models are great in grammar but tend to confabulate. Building a reliable knowledge base might be a way to solve it. At Berlin Buzzwords this year, Kacper Łukawski showed you how! youtu.be/kszZBp_R59o #bbuzz

In this talk at Berlin Buzzwords 2023, William Benton covered several use cases in which generating synthetic data is useful (or even essential) and introduced a toolbox of practical techniques for synthesizing data in these situations. youtu.be/7imDbi6WWVY #bbuzz

At #bbuzz 2023, teo & Ryan Ginstorm discussed the MLOps infrastructure they built to support ML in search at Japan’s largest C2C e-commerce platform. Watch the recording now! youtu.be/11xxPUSJTss

Our #CfP for #bbuzz next year is open and our special offer Trust Us Tickets are only on sale during December! Learn more, submit your proposal, or get your ticket now at 2024.berlinbuzzwords.de

This year at #bbuzz , Uwe 🇺🇦 Schindler 👮💳💉💉💉💉💉 discussed the ways Apache Lucene might go in the next years. From the perspective of a full-text search engine, it looks like it is feature-complete. So what comes next? youtu.be/EHJjSYWjIF0

Chaos engineering is hard, in containers it is even harder. At #bbuzz 2023, Maish Saidel-Keesing showed attendees the considerations and got them started on their way to making more resilient applications in the cloud. youtu.be/nmhQ1PWrGSI

No one wants to be responsible for breaking the build. But what can you do as a developer to avoid being the bad guy? At #bbuzz 2023, Ram ⚡️ 🇮🇳 discussed how we can use kuttl to achieve more streamlined testing and fewer broken builds. youtu.be/KSHepK96EhE

At #bbuzz this year, Benjamin Dauvissat and Radu Pop discussed how we can use available data to offer a critical view of the world, with tools that organize, transform and present this data. youtu.be/2ZsJjQfeUX0

Probabilistic data structures can reduce space requirements while sacrificing a bit of accuracy. At #bbuzz 2023, savannah examined the probabilistic data structures that come built into Redis Stack & discussed how, why and when they work best. youtu.be/NVDYYeZuCDo

At Berlin Buzzwords this year, Radu Gheorghe & Rafał Kuć gave a tutorial for writing a Solr query parser that uses TensorFlow for Java to augment queries, providing you with tools and resources to implement a query parser for your own use case! youtu.be/VUdeeXgDfk8

This year at Berlin Buzzwords, @tomasneubauer0 explored common problems faced when building real-time applications at scale, with a focus on a specific use case: detecting and responding to cyclist crashes. youtu.be/I25dBEQSdVw #bbuzz

The BSI provides actual data on acute IT threat situations. At #bbuzz this year, Wu Qi & Bertram Saendig discussed how they developed a system for detecting threats: crawling, automatic analysis with NER, NEL, provision and use of dedicated tools for evaluation. youtu.be/1f-eK6tYOzw

Advanced ML models for text may need hundreds of machines, but with open source tools and pre-trained models, you can do a lot just on your laptop or docker container. Discover what and how in this talk by Nick Burch at #bbuzz 2023! youtu.be/rOd9UteupGA

At #bbuzz 2024, Bhavani Ravi explored the bad and best practices when deploying Apache Airflow, from common pitfalls such as misconfigured tasks and lack of scalability, to best practices, such as robust monitoring and proper security measures. youtu.be/LBoT1DzGFS4

This year at #bbuzz , Matt J Williams discussed how they successfully transitioned the search system for the world's largest recipe sharing platform to a modern stack – including the wins, fails, team structures, and processes along the way. youtu.be/JSxSYODVbnQ

At #bbuzz 2023, Danica Fine explained how data moves into and out of Apache Kafka by taking a look at the producer and consumer request life cycle. Follow a request from an initial call to send() or poll(), all the way to disk. youtu.be/8NrK69WrRq0