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SOFTWARE MEETS BUSINESS:
Die Konferenz für Software-Architekturen
30. Januar - 03. Februar 2017

Sessionsdetails

Vortrag: Do 6.4
Datum: Do, 08.02.2018
Uhrzeit: 17:00 - 18:00
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Apache Kafka + Apache Mesos = Highly Scalable Streaming Microservices

Uhrzeit: 17:00 - 18:00
Vortrag: Do 6.4

 

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

Target Audience: Architects, Developers, Project Leader
Prerequisites: Basic knowledge about distributed systems (e.g. messaging, SOA) is helpful
Level: Introductory

Extended Abstract
Microservices establish many benefits like agile, flexible development and deployment of business logic. However, a Microservice architecture also creates many new challenges like increased communication between distributed instances, the need for orchestration, new fail-over requirements, and resiliency design patterns.
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’s Streams API allows to embed stream processing directly into any external microservice or business application; without the need for a dedicated streaming cluster. Apache Mesos can be used as scalable infrastructure for both, the Apache Kafka brokers and external applications using the Kafka Streams API, to leverage the benefits of a cloud native platform 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.