MesosCon Europe 2017

Big Data is a reality nowadays on companies, and because of this new reality they have moved from using Big Data in proof of concept projects to use it at the core of the companies itself. This change along with Data Science growth and the power of business intelligence tools has required an effort in our solutions to provide a secured and isolated environments which protects the companies from malicious users. Are we prepared for the challenge?

From Stratio we have modified the behavior of Apache Spark over Apache Mesos to provide a new layer of isolation to the actors that are involved on a Spark workflow by using a Software Defined Networks solutions (SDN) and by changing the spark core network layer. We have also added a smart way to handle the secrets without the interaction of the user with the secrets of the platform adding some functionality to Apache Spark security module.

Migrating a database to a containerized infrastructure brings with it a whole host of challenging new issues. Concerns range from persistence management, availability requirements, and complicated recovery semantics. If you’re considering migrating a database to containers in the future, this talk should enlighten the path.

We will walk you through the current state of the DataStax Enterprise framework. We'll explore the details of the integration between DSE and DC/OS and cover tradeoffs between different deployment options. We’ll tell the real story of the evolution of this framework. In doing so we’ll discuss how our initial design decisions conflicted with customer expectations and how we worked through these and other engineering feats to get to the offering we have today. We'll then tell a few customer deployment stories and conclude with a demo of DSE on DC/OS.

This session discusses how to build a highly scalable, performant, mission-critical microservice infrastructure with Apache Kafka and Apache Mesos. Apache Kafka brokers are used as powerful, scalable, distributed message backbone. Kafka Streams’ API allows to embed stream processing directly into any microservice or business application; without the need for a dedicated streaming cluster. Apache Mesos is used as scalable infrastructure
under the hood of Apache Kafka and Kafka Streams applications to
leverage the benefits of a cloud native platforms like service discovery, health checks, or fail-over management.

A live demo shows how to develop real time applications for your core business with Kafka messaging brokers and Kafka Streams API and how to deploy / manage / scale them on a Mesos cluster using different deployment options like Marathon, Docker, Kubernetes.

Mesosphere Marathon is a Mesos scheduler that can handle huge production installation. In this presentation, I will present 8 tips that improves Marathon performance and prevents outages. Each tip will have summary with information when and how it can decrease performance and how to avoid the danger of the outage.