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50:57
Architecture & Design Follow 880 Followers

Spotify's Reliable Event Delivery System

Posted by Igor Maravic  on  Jun 08, 2017 1 Posted by Igor Maravic  Followers  on  Jun 08, 2017 1

Igor Maravic talks about the design and operational aspects of Spotify’s reliable event delivery system.

50:56
Architecture & Design Follow 880 Followers

Real-Time & Personalized Notifications @Twitter

Posted by Gary Lam  on  Jun 06, 2017 Posted by Gary Lam Follow 0 Followers , Saurabh Pathak Follow 0 Followers  on  Jun 06, 2017

Gary Lam and Saurabh Pathak talk about the hybrid push/pull-based architecture adopted by Twitter Notification platform.

47:47
Architecture & Design Follow 880 Followers

Stream Processing & Analytics with Flink @Uber

Posted by Danny Yuan  on  Mar 25, 2017 Posted by Danny Yuan Follow 1 Followers  on  Mar 25, 2017

Danny Yuan discusses how Uber builds its next generation of stream processing system to support real-time analytics as well as complex event processing.

39:21
Architecture & Design Follow 880 Followers

Demistifying DynamoDB Streams

Posted by Akshat Vig  on  Mar 25, 2017 Posted by Akshat Vig Follow 0 Followers , Khawaja Shams Follow 0 Followers  on  Mar 25, 2017

Akshat Vig and Khawaja Shams discuss DynamoDB Streams and what it takes to build an ordered, highly available, durable, performant, and scalable replicated log stream.

01:10:46
Data Science Follow 370 Followers

Cloud Native Streaming and Event-driven Microservices

Posted by Marius Bogoevici  on  Jan 14, 2017 Posted by Marius Bogoevici Follow 0 Followers  on  Jan 14, 2017

Marius Bogoevici demonstrates how to create complex data processing pipelines that bridge the big data and enterprise integration together and how to orchestrate them with Spring Cloud Data Flow.

39:00
Data Science Follow 370 Followers

ETL Is Dead, Long Live Streams

Posted by Neha Narkhede  on  Dec 06, 2016 1 Posted by Neha Narkhede Follow 2 Followers  on  Dec 06, 2016 1

Neha Narkhede shares the experience at LinkedIn moving from ETL to real-time streams, the challenges of scaling Kafka to hundreds of billions of events/day, supporting thousands of engineers, etc.

39:47
Culture & Methods Follow 270 Followers

Event Sourcery

Posted by Sebastian von Conrad  on  Sep 17, 2016 Posted by Sebastian von Conrad Follow 0 Followers , James Ross Follow 0 Followers  on  Sep 17, 2016

Sebastian von Conrad and James Ross explain how to use event sourcing in order to keep the cost of change lower.

53:32
JavaScript Follow 160 Followers

Adventures in Elm: Events, Reproducibility, and Kindness

Posted by Jessica Kerr  on  Aug 02, 2016 Posted by Jessica Kerr Follow 0 Followers  on  Aug 02, 2016

Jessica Kerr introduces Elm, focusing on its architecture: how it overturns what is essential in object-oriented and even back-end functional programming.

54:56
Architecture & Design Follow 880 Followers

Server-Less Design Patterns for the Enterprise with AWS Lambda

Posted by Tim Wagner  on  Jul 08, 2016 Posted by Tim Wagner Follow 2 Followers  on  Jul 08, 2016

Tim Wagner defines server-less computing, examines the key trends and innovative ideas behind the technology, and looks at design patterns for big data, event processing, and mobile using AWS Lambda.

44:09
Architecture & Design Follow 880 Followers

Handling Streaming Data in Spotify Using the Cloud

Posted by Neville Li  on  Jul 06, 2016 Posted by Neville Li Follow 0 Followers , Igor Maravić Follow 0 Followers  on  Jul 06, 2016

Neville Li and Igor Maravić cover the evolution of Spotify’s event delivery system, discussing lessons learned moving it into the cloud using Scio, a high level Scala API for the Dataflow SDK.

50:46
Data Science Follow 370 Followers

Large-Scale Stream Processing with Apache Kafka

Posted by Neha Narkhede  on  Jul 03, 2016 Posted by Neha Narkhede Follow 2 Followers  on  Jul 03, 2016

Neha Narkhede explains how Apache Kafka was designed to support capturing and processing distributed data streams by building up the basic primitives needed for a stream processing system.

48:25
Data Science Follow 370 Followers

Staying in Sync: from Transactions to Streams

Posted by Martin Kleppmann  on  May 20, 2016 Posted by Martin Kleppmann Follow 1 Followers  on  May 20, 2016

Martin Kleppmann explores using event streams and Kafka for keeping data in sync across heterogeneous systems, and compares this approach to distributed transactions.

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