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Data processing paradigms are undergoing a paradigm shift as you move more and more towards real time processing. Emerging software models such as the SMACK stack are at the forefront of this change, focused on a pipeline processing model, but are also introducing new levels of operational complexity in running multiple complex distributed systems such as Spark, Kafka and Cassandra. Apache Mesos is a distributed system for running other distributed systems, often described as a distributed kernel. It's in use at massive scale at some of the worlds largest companies like Netflix, Uber and Yelp. DC/OS is an open source distribution of Mesos, which adds all the functionality to run Mesos in production across any substrate, both on-premise and in the cloud. In this talk, Matt will explore both Mesos and DC/OS and share with you how they work under the hood, and what the benefits are of running these new kinds of systems for emerging cloud native workloads.
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From Batch to Pipelines - Why Apache Mesos And DC/OS Are A Solution For Emerging Patterns In Cloud Native Applications
Matt Jarvis is Senior Director of Community and Evangelism at Mesosphere, engaging with the communities around DC/OS and Mesos. Matt has spent more than 15 years building products and services around open source software, on everything from embedded devices to large scale distributed systems. Most recently he has been focused on the open cloud infrastructure space, and in emerging patterns for cloud native applications. Matt is a regular speaker at conferences and meetups worldwide including MesosCon, Open Source Data Centre, Open Infrastructure Summit and IT Next Summit.