# ApacheCon Budapest 2014

DevFeed: [ApacheCon Budapest 2014](<https://devfeed.tech/articles/apachecon-budapest-2014-31983.md>)

Original publisher: [Read original article](<https://tech.finn.no2014/11/25/apachecon-budapest/>)

Author: mick

Published: 2014-11-25T13:00:00Z

Content type: opinion

Language: en

Sources: [Finn.no](<https://devfeed.tech/sources/finn-no.md>)

Topics: [Hadoop](<https://devfeed.tech/topics/hadoop.md>), [Apache Spark](<https://devfeed.tech/topics/spark.md>), [Docker](<https://devfeed.tech/topics/docker.md>), [hdfs](<https://devfeed.tech/topics/hdfs.md>), [Apache Cassandra](<https://devfeed.tech/topics/cassandra.md>), [Streaming](<https://devfeed.tech/topics/streaming.md>), [couchdb](<https://devfeed.tech/topics/couchdb.md>), [Data structures](<https://devfeed.tech/topics/data-structures.md>)

Tags: [apache](<https://devfeed.tech/tags/apache.md>), [cassandra](<https://devfeed.tech/tags/cassandra.md>), [couchdb](<https://devfeed.tech/tags/couchdb.md>), [data-structures](<https://devfeed.tech/tags/data-structures.md>), [docker](<https://devfeed.tech/tags/docker.md>), [hadoop](<https://devfeed.tech/tags/hadoop.md>), [hdfs](<https://devfeed.tech/tags/hdfs.md>), [spark](<https://devfeed.tech/tags/spark.md>), [streaming](<https://devfeed.tech/tags/streaming.md>)

## AI overview

A firsthand account of ApacheCon Budapest 2014 discusses Apache communities and several technologies, including Docker, Spark, Cassandra, CouchDB, Hadoop, Mesos, Aurora, YARN, Solr, and OpenOffice. It highlights considerations around scalability, testing, streaming, production utilisation, and data processing.

## Source excerpt

Last week was Europe's ApacheCon, held in Budapest. A refreshingly "laid-back and no-nonsense" conference free from the douchebaggery that comes from big sponsors and marketing. This year it was held in the awesome 5-star Corinthia Hotel, and consisted of a welcoming and cheerful vibe, a place for apache members, committers, and all, to get together and better know each other. Apache continues to grow as the foundation for strong communities building trusted open sourced solutions, for running half the internet, and providing a substantial amount of code to your java stack. Some hot topics were Docker, Mesos, Spark, Cassandra, CouchDB, Hadoop, Solr, OpenOffice, and the need for greater diversity in our communities. Spark is all the rage because of its brevity and simplicity, but isn't really a complete solution yet because it doesn't scale in many situations. Docker is awesome, and looks to take over the testing domain, but it remains limited and out of production as long as it has no network stack implementation. There was a very cool demonstration of Mesos and Aurora increasing production utilisation, even allowing in quiet periods for development/testing servers to come in. The next release of YARN (2.6) will see support for long-lived services, whereby we can transform many of our hadoop jobs with very little effort into true streaming solutions. YARN will also be able to deploy docker containers through its clusters, this could be a very nice solution for our batch jobs. Putting these together and you see that the technical separation between streaming and aggregating solutions fades away and it really just boils down to what data structures you solve each use case with. Talking with a hadoop committer it came to light that FINN could be running the fastest hadoop cluster that they know of, given HDFS runs on SSDs and is dedicated just for hadoop internals. Of no surprise Solr dealt a lot with scaling and performance, while Cassandra presented use-cases from ac