Presented By O’Reilly and Cloudera
Make Data Work
21–22 May 2018: Training
22–24 May 2018: Tutorials & Conference
London, UK

Multi-data center and multitenant durable messaging with Apache Pulsar

Ivan Kelly (Streamlio)
14:5515:35 Wednesday, 23 May 2018
Average rating: ***..
(3.00, 2 ratings)

Who is this presentation for?

  • Software engineers, engineering managers, CIOs, and technology leaders

Prerequisite knowledge

  • Familiarity with distributed systems and pub/sub messaging concepts

What you'll learn

  • Explore Apache Pulsar and learn how it compares with other messaging systems in terms of features and ease of use
  • Discover how it can be applied to some of the problems introduced by the new GDPR regulations.


Enterprises are racing to ensure the technology that they are using will enable them to be GDPR-compliant when it comes into effect in May 2018. Although there are a number of available messaging systems, many of them lack the enterprise features necessary to avoid growing operational burdens to ensure compliance.

Ivan Kelly offers an overview of Apache Pulsar, a durable, distributed messaging system, underpinned by Apache BookKeeper, that provides the enterprise features necessary to guarantee that your data is where is should be and only accessible by those who should have access. Ivan explores the features built into Pulsar that will help your organization stay in compliance with key requirements and regulations, for multi-data center replication, multitenancy, role-based access control, and end-to-end encryption. Ivan concludes by explaining why Pulsar’s multi-data center story will alleviate headaches for the operations teams as GDPR looms large on the horizon.

Photo of Ivan Kelly

Ivan Kelly


Ivan Kelly is a software engineer at Streamlio, a startup dedicated to providing a next-generation integrated real-time stream processing solution, based on Heron, Apache Pulsar (incubating), and Apache BookKeeper. Ivan has been active in Apache BookKeeper since its very early days as a project in Yahoo! Research Barcelona. Specializing in replicated logging and transaction processing, he is currently focused on Streamlio’s storage layer.