Confluent Developer ft. Tim Berglund, Adi Polak & Viktor Gamov

Confluent
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Sep 12, 2019 • 48min

Jay Kreps on the Last 10 Years of Apache Kafka and Event Streaming

As Confluent turns five years old, special guest Jay Kreps (Co-founder and CEO, Confluent) brings us back to his early development days of coding Apache Kafka® over a Christmas holiday while working at LinkedIn. Kafka has become a breakthrough open source distributed streaming platform based on an abstraction of the distributed commit log, and his involvement in the project eventually led him to start Confluent with Jun Rao and Neha Narkhede. In this episode, Jay shares about all the highs and lows along the way, including some of his favorite customer success stories with companies like Lyft and Euronext, which empower their real-time businesses through event streaming with Confluent Cloud.Starting a company certainly comes with more than the technology, and Jay also reflects on some of the challenges around funding, support, and introducing Confluent to the rest of the world. How they have brought us from the beginning to now yields some wise words from Jay to any developer who is interested in establishing their own startup. EPISODE LINKSLyft on Production-Ready Kafka on KubernetesEuronext Stock Exchange Relies on Confluent for Event-Driven Trading PlatformJoin the Confluent Community SlackGet 30% off Kafka Summit registration using the code audio19 SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Sep 9, 2019 • 54min

Connecting to Apache Kafka with Neo4j

What’s a graph? How does Cypher work? In today's episode of Streaming Audio, Tim Berglund sits down with Michael Hunger (Lead of Neo4j Labs) and David Allen (Partner Solution Architect, Neo4j) to discuss Neo4j basics and get the scoop on major features introduced in Neo4j 3.4 and 3.5. Among these are geospatial and temporal types, but there’s also more to come in 4.0: a multi-database feature, fine-grained security, and reactive drivers/Spring Data Neo4j RX. In addition to sharing a little bit about the history of the integration and features in relation to Apache Kafka®, they also discuss change data capture (CDC), using Neo4j to put graph operations into an event streaming application, and how GraphQL fits in with event streaming and GRANDstack. The goal is to add graph abilities to help any distributed application become more successful.EPISODE LINKSKafka Connect Neo4j SinkNeo4j Streams Kafka IntegrationExtending the Stream/Table Duality into a Trinity, with Graphs (with Will Lyon)Neo4j Online Developer SummitAnnouncing NODES 2019 Global GraphHackJoin the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Sep 4, 2019 • 22min

Ask Confluent #15: Attack of the Zombie Controller

Gwen Shapira (Core Kafka Software Engineer, Confluent) sits down to answer the questions you've had about event streaming, Apache Kafka®, Confluent, and everything in between. This includes creating tables in nested JSON topics, how to balance ordering, latency and reliability, building event-based systems, and how to navigate the tricky endOffsets API. She talks about the hardships of fencing Zombie requests, some of the talks given at previous Kafka Summits, and an important question from Ask Confluent #3. EPISODE LINKSKIP-91: Provide Intuitive User Timeouts in The ProducerKIP-79: ListOffsetRequest/ListOffsetResponse v1 and add timestamp search methods to the new consumerKSQL recipe on creating tables in a nested JSON topicData Wrangling with Apache Kafka and KSQLStruct (Nested Data) | Level Up Your KSQLKafka Summit 2018 Keynote (Experimentation Using Event-Based Systems)Apache Kafka 2.3endOffsets documentationJun Rao, Confluent - Kafka Controller: A Deep DiveConfluent Platform 5.3Kafka Summit 2017 Keynote (Go Against the Flow: Databases and Stream Processing)The Event Streaming Platform ExplainedWatch the video version of this podcastJoin the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Aug 28, 2019 • 53min

Helping Healthcare with Apache Kafka and KSQL ft. Ramesh Sringeri

In today’s episode of Streaming Audio, Tim Berglund sits down with Senior Applications Developer of Mobile Solutions Ramesh Sringeri to discuss Apache Kafka®—specifically two Kafka use cases that Children’s Healthcare of Atlanta is working on.First, they discuss achieving near-real-time streams of data to support meaningful intracranial pressure prediction and managing intracranial pressure (ICP) in a timely manner to help the care team achieve better outcomes with traumatic brain injuries.Children’s Healthcare of Atlanta is in the process of building machine learning models for predicting ICP values 30 and 60 minutes in the future. This will help the care team better prepare for handling potential adverse conditions, where elevated ICP values could lead to undesirable outcomes. The Children’s team is using Kafka, KSQL, and Kafka Streams programs to build a pipeline in which they can test their machine learning models.Ramesh also shares about the work they’re doing to mitigate alarm fatigue for care providers. According to him, the current generation of monitoring devices are not equipped to set up multiple alarm conditions, and sometimes a combination of measures need to cross thresholds to be of concern. Children’s is able to leverage stream processing and KSQL to set up multiple conditions, reducing the number of meaningless alarms conditions that might condition care providers to ignore them.One of the best parts of it all—with Kafka and KSQL, the Children’s team has been able to quickly build data processing pipelines and address business use cases without having to write a lot of code.EPISODE LINKSJoin the Confluent Community SlackFor more, you can check out ksqlDB, the successor to KSQL.SEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Aug 21, 2019 • 50min

Contributing to Open Source with the Kafka Connect MongoDB Sink ft. Hans-Peter Grahsl

Sink and source connectors are important for getting data in and out of Apache Kafka®. Tim Berglund invites Hans-Peter Grahsl (Technical Trainer and Software Engineer, Netconomy Software & Consulting GmbH) to share about his involvement in the Apache Kafka project, spanning from several conference contributions all the way to his open source community sink connector for MongoDB, now part of the official MongoDB Kafka connector code base. Join us in this episode to learn what it’s like to be the only maintainer of a side project that’s been deployed into production by several companies!EPISODE LINKSMongoDB Connector for Apache KafkaGetting Started with the MongoDB Connector for Apache Kafka and MongoDBKafka Connect MongoDB Sink Community ConnectorKafka Connect MongoDB Sink Community Connector (GitHub)Adventures of Lucy the Havapoo Join the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Aug 19, 2019 • 42min

Teaching Apache Kafka Online with Stéphane Maarek

Streaming Audio welcomes Stéphane Maarek (CEO, Datacumulus) on the podcast to discuss how he got started hosting online Apache Kafka® tutorials and teaching on Udemy, the challenges he faces as an instructor, his approach to answering hard questions, and the projects he is currently working on.EPISODE LINKSKSQL Training for Hands-On LearningJoin the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Aug 12, 2019 • 48min

Connecting Apache Cassandra to Apache Kafka with Jeff Carpenter from DataStax

Whenever you see an Apache Cassandra™ in the wild, you probably also see an Apache Kafka®️. In this episode, Tim Berglund (Senior Director of Developer Experience, Confluent) and Jeff Carpenter (Director of Developer Advocacy, DataStax) discuss the best way to get those systems talking using the DataStax Apache Kafka Connector and build a real-time data pipeline. EPISODE LINKSAbout the DataStax Apache Kafka ConnectorDataStax Academy: DataStax Apache Kafka Connector CourseJoin the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Aug 8, 2019 • 17min

Transparent GDPR Encryption with David Jacot

The General Data Protection Regulation (GDPR) has challenged many enterprises to rethink how they deal with customer data. Viktor Gamov chats with David Jacot about a unique approach to inter-broker traffic encryption that he implemented for his customer’s sidecar pattern use case.EPISODE LINKSLearn about IstioLearn about EnvoyLearn about LinkerdHandling GDPR with Apache Kafka®: How to Comply Without Freaking Out? Join the Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Jul 31, 2019 • 13min

Confluent Platform 5.3 | What's New in This Release

A quick summary of the most important features in Confluent Platform 5.3. We discuss improved Kubernetes and Ansible support, improvements to Confluent Control Center that give you better insight into the data in your cluster, and an important new set of security features—Role-Based Access Control—aimed at making complex deployments more secure.EPISODE LINKSRead the docsRead the blogWatch the video version of this podcast (featuring an actual stream)Download Confluent Platform 5.3Join us in Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.
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Jul 29, 2019 • 31min

How to Convert Python Batch Jobs into Kafka Streams Applications with Rishi Dhanaraj

Zenreach is a company that makes tools to help retailers use digital marketing more effectively. If that sounds like a problem that only marketing people would be interested in, that’s because you don’t know what they do! There are all kinds of fascinating technology problems to solve by utilizing event streaming platforms to process data at volume. Rishi Dhanaraj, our guest today, worked at Zenreach as an intern, and took on a big pile of Python batch jobs, turning them into some really interesting Kafka Streams code. Listen in as he walks us through how he did it.EPISODE LINKSA Beginner's Perspective on Kafka Streams: Building Real-Time Walkthrough DetectionReal-Time Presence Detection at Scale with Apache Kafka on AWSJoin us in Confluent Community SlackSEASON 2 Hosted by Tim Berglund, Adi Polak and Viktor Gamov Produced and Edited by Noelle Gallagher, Peter Furia and Nurie Mohamed Music by Coastal Kites Artwork by Phil Vo 🎧 Subscribe to Confluent Developer wherever you listen to podcasts. ▶️ Subscribe on YouTube, and hit the 🔔 to catch new episodes. 👍 If you enjoyed this, please leave us a rating. 🎧 Confluent also has a podcast for tech leaders: "Life Is But A Stream" hosted by our friend, Joseph Morais.

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