Safe event processing + Kafka at Norsk Tipping

Welcome to a joint Meetup with Apache Kafka Oslo and Data Engineering Oslo! The event will be held at Salt (salted.no), in Langhuset not the Sauna :) There will be pizza from Alba Catering and drinks.

Agenda:
17.00 - Meet & greet, pizza & drinks (sponsored by Sysco)
17.55 - Intro - Eystein Kleivenes, Sysco
18:00 - Part 1 - 3,5 teknikker for tryggere håndtering av meldinger
18:30 - Mingle
18:45 - Part 2 - Experiences building a data streaming platform at Norsk Tipping
19:30 - Mingle, mingle, mingle
20:00 - Closing

*** "3,5 teknikker for tryggere håndtering av meldinger"
We are very lucky to get a preview of Nils Larsgård's presentation which will be held two days after at Javazone 2019, super interesting topic so I'll be going to both :) Nils is currently at Kodemaker (kodemaker.no) and much of the talk is based on his experiences at finn.no and Reuters. The talk will be held in Norwegian, and here's the abstract from javazone.no (https://2019.javazone.no/program/b960dd77-a5b0-458e-901a-5d9fa3dbd527)

"Det er mye som kan gå galt i et distribuert og event-basert system. Underliggende tjenester feiler eller blir uresponsive. Kafka-clusteret må ned for å oppgraderes og gjør uventede rebalanseringer. Mikrotjenesten din har det kanskje bra, men hvordan håndtere at verdenen utenfor den raser sammen, på en fornuftig måte?

I dette foredraget viser jeg hvordan du kan prosessere meldinger fra Kafka på en tryggere måte. Jeg har destillert ned min erfaring fra meldingsbaserte arkitekturer hos finn.no og Reuters til 3,5 patterns som vil komme godt med i ethvert event-basert system - ikke bare de som bruker Kafka."

*** "Experiences building a data streaming platform at Norsk Tipping"

We are also very excited about the next talk from Norsk Tipping (norsk-tipping.no), presented by Rita Arencibia Rodriguez from Norsk Tipping and Nikita Zhevinitksiy from Sysco AS (sysco.no)

Norsk Tipping started their journey with Kafka in 2018, where they are unifying streams of data from different sources (sensors, database migrations, integrations) into a uniform platform. They have been working on several interesting use cases, including using Kafka as a backend for My Games, Subscriptions and also for a planned migration of their Netezza data warehouse. We will hear about data pipeline building, moving from batch (Informatica PowerCenter) to stream with Akka Streams, use of Confluent Schema Registry and Openshift, including mistakes and lessons learned.

This talk will be held in English.

Looking forward to see you all there!