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Bridge to Cloud: Using Apache Kafka to Migrate to GCP

Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.

In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

Register now to learn:
-How to take the first step in migrating to GCP
-How to reliably sync your on premises applications using a persistent bridge to cloud
-How Confluent Cloud can make this daunting task simple, reliable and performant
Recorded Feb 14 2019 57 mins
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Presented by
Priya Shivakumar, Director of Product, Confluent + Ryan Lippert, Product Marketing, Google Cloud
Presentation preview: Bridge to Cloud: Using Apache Kafka to Migrate to GCP

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  • No More Silos: Integrating Databases into Apache Kafka® Jun 25 2019 10:00 pm UTC 56 mins
    Robin Moffatt, Developer Advocate, Confluent
    Companies new and old are all recognizing the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka® streaming platform. With Apache Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event-driven architectures and the population of multiple downstream systems.

    In this talk, we’ll look at one of the most common integration requirements – connecting databases to Apache Kafka. We’ll consider the concept that all data is a stream of events, including that residing within a database. We’ll look at why we’d want to stream data from a database, including driving applications in Apache Kafka from events upstream. We’ll discuss the different methods for connecting databases to Apache Kafka, and the pros and cons of each. Techniques including Change-Data-Capture (CDC) and Apache Kafka Connect will be covered, as well as an exploration of the power of KSQL, streaming SQL for Apache Kafka, for performing transformations such as joins on the inbound data.

    Register now to learn:
    •Why databases are just a materialized view of a stream of events
    •The best ways to integrate databases with Apache Kafka
    •Anti-patterns to be aware of
    •The power of KSQL for transforming streams of data in Apache Kafka
  • Express Scripts: Driving Digital Transformation from Mainframe to Microservices Jun 11 2019 9:00 am UTC 58 mins
    Ankur Kaneria, Principal Architect, Express Scripts + Kevin Petrie, Attunity + Alan Hsia, Confluent
    Express Scripts is reimagining its data architecture to bring best-in-class user experience and provide the foundation of next-generation applications. The challenge lies in the ability to efficiently and cost-effectively access the ever-increasing amount of data.

    This online talk will showcase how Apache Kafka® plays a key role within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds. It will discuss how change data capture (CDC) technology is leveraged to stream data changes to Confluent Platform, allowing a low-latency data pipeline to be built.

    Watch now to learn:

    -Why Apache Kafka is an ideal data integration platform for microservices
    -How Express Scripts is building cloud-based microservices when the system of record is a relational database residing on an on-premise mainframe
    -How Confluent Platform allows for data integrity between disparate platforms and meets real time SLAs and low-latency requirements
    -How Attunity Replicate software is leveraged to stream data changes to Apache Kafka, allowing you to build a low-latency data pipeline
  • An Introduction to KSQL & Kafka Streams Processing with Ticketmaster May 29 2019 10:00 pm UTC 63 mins
    Dani Traphagen, Sr. Systems Engineer, Confluent + Chris Smith, VP Engineering Data Science, Ticketmaster
    In this all too fabulous talk with Ticketmaster, we will be addressing the wonderful and new wonders of KSQL vs. KStreams.

    If you are new-ish to Apache Kafka® you may ask yourself, “What is a large Apache Kafka deployment?” And you may tell yourself, “This is not my beautiful KSQL use case!” And you may tell yourself, “This is not my beautiful KStreams use case!” And you may ask yourself, “What is a beautiful Apache Kafka use case?” And you may ask yourself, “Am I right about this architecture? Am I wrong?” And you may say to yourself, “My God! What have I done?”

    In this session, we’re going to delve into all these issues and more with Chris Smith, VP of Engineering Data Science at Ticketmaster.

    Watch now to learn:
    -Ticketmaster Apache Kafka Architecture
    -KSQL Architecture and Use Cases
    -KSQL Performance Considerations
    -When to KSQL and When to Live the KStream
    -How Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products
  • Fast Data – Fast Cars: Wie Apache Kafka die Datenwelt Revolutioniert Recorded: Apr 30 2019 57 mins
    David Schmitz, Principal Architect, Audi Electronics Venture GmbH + Kai Waehner, Technology Evangelist, Confluent
    Für die Automobilindustrie ist die digitale Transformation wie für jede andere Branche zugleich eine digitale Revolution: Neue Marktspieler, neue Technologien und die in immer größeren Mengen anfallenden Daten schaffen neue Chancen, aber auch neue Herausforderungen – und erfordern neben neuen IT-Architekturen auch völlig neue Denkansätze.

    60% der Fortune500-Unternehmen setzen zur Umsetzung ihrer Daten-Streaming-Projekte auf die umfassende verteilte Streaming-Plattform Apache Kafka®, darunter auch die AUDI AG.

    Erfahren Sie in diesem Webinar:
    -Wie Kafka als Grundlage sowohl für Daten-Pipelines als auch für Anwendungen dient, die Echtzeit-Datenströme konsumieren und verarbeiten.
    -Wie Kafka Connect und Kafka Streams geschäftskritische Anwendungen unterstützt
    -Wie Audi mithilfe von Kafka und Confluent eine Fast Data IoT-Plattform umgesetzt hat, die den Bereich „Connected Car“ revolutioniert
  • Apache Kafka® im Unternehmenseinsatz: 10 Lektionen Recorded: Apr 24 2019 22 mins
    Charalampos Papadopoulos, System Engineer Big Data / Analytics, SVA + Marie Fraune, System Engineer Big Data / Analytics, SVA
    Im digitalen Zeitalter sind Events allgegenwärtig. Unternehmen haben ihre Geschäftsmodelle neu ausgerichtet, sind dynamischer, technologie- und dienstleistungsorientierter geworden, was in event-getriebenen, komplexen Geschäftsabläufen in Echtzeit resultiert.

    Dabei setzen 60% der Fortune100-Unternehmen auf Event-Streaming-Plattformen als grundlegende Technologie - Apache Kafka hat sich hier als de-facto Standard etabliert.Welche Stolpersteine und Herausforderungen beim produktiven Einsatz von Apache Kafka zu beachten sind, hat Confluent-Partner SVA in einem kurzweiligen Webinar zusammen gefasst.

    Security, Retention Time oder Exactly Once-Semantiken sind nur drei der Themen, welche wir beleuchten werden.
  • An Introduction to KSQL & Kafka Streams Processing with Ticketmaster Recorded: Apr 23 2019 64 mins
    Dani Traphagen, Sr. Systems Engineer, Confluent + Chris Smith, VP Engineering Data Science, Ticketmaster
    In this all too fabulous talk with Ticketmaster, we will be addressing the wonderful and new wonders of KSQL vs. KStreams.

    If you are new-ish to Apache Kafka® you may ask yourself, “What is a large Apache Kafka deployment?” And you may tell yourself, “This is not my beautiful KSQL use case!” And you may tell yourself, “This is not my beautiful KStreams use case!” And you may ask yourself, “What is a beautiful Apache Kafka use case?” And you may ask yourself, “Am I right about this architecture? Am I wrong?” And you may say to yourself, “My God! What have I done?”

    In this session, we’re going to delve into all these issues and more with Chris Smith, VP of Engineering Data Science at Ticketmaster.

    Watch now to learn:
    -Ticketmaster Apache Kafka Architecture
    -KSQL Architecture and Use Cases
    -KSQL Performance Considerations
    -When to KSQL and When to Live the KStream
    -How Ticketmaster uses KSQL and KStreams in production to reduce development friction in machine learning products
  • No More Silos: Integrating Databases into Apache Kafka® Recorded: Apr 11 2019 57 mins
    Robin Moffatt, Developer Advocate, Confluent
    Companies new and old are all recognizing the importance of a low-latency, scalable, fault-tolerant data backbone, in the form of the Apache Kafka® streaming platform. With Apache Kafka, developers can integrate multiple sources and systems, which enables low latency analytics, event-driven architectures and the population of multiple downstream systems.

    In this talk, we’ll look at one of the most common integration requirements – connecting databases to Apache Kafka. We’ll consider the concept that all data is a stream of events, including that residing within a database. We’ll look at why we’d want to stream data from a database, including driving applications in Apache Kafka from events upstream. We’ll discuss the different methods for connecting databases to Apache Kafka, and the pros and cons of each. Techniques including Change-Data-Capture (CDC) and Apache Kafka Connect will be covered, as well as an exploration of the power of KSQL, streaming SQL for Apache Kafka, for performing transformations such as joins on the inbound data.

    Register now to learn:
    •Why databases are just a materialized view of a stream of events
    •The best ways to integrate databases with Apache Kafka
    •Anti-patterns to be aware of
    •The power of KSQL for transforming streams of data in Apache Kafka
  • Bridge to Cloud: Using Apache Kafka to Migrate to AWS Recorded: Apr 9 2019 57 mins
    Priya Shivakumar (Confluent) + Konstantine Karantasis (Confluent) + Rohit Pujari (AWS)
    Speakers: Priya Shivakumar, Director of Product, Confluent + Konstantine Karantasis, Software Engineer, Confluent + Rohit Pujari, Partner Solutions Architect, AWS

    Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.

    In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka service, to migrate to AWS. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

    In this online talk we will cover:
    •How to take the first step in migrating to AWS
    •How to reliably sync your on premises applications using a persistent bridge to cloud
    •Learn how Confluent Cloud can make this daunting task simple, reliable and performant
    •See a demo of the hybrid-cloud and multi-region deployment of Apache Kafka
  • Bridge to Cloud: Using Apache Kafka to Migrate to GCP Recorded: Mar 27 2019 56 mins
    Priya Shivakumar, Director of Product, Confluent + Ryan Lippert, Product Marketing, Google Cloud
    Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.

    In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

    Register now to learn:
    -How to take the first step in migrating to GCP
    -How to reliably sync your on premises applications using a persistent bridge to cloud
    -How Confluent Cloud can make this daunting task simple, reliable and performant
  • Using Apache Kafka to Optimize Real-Time Analytics in Financial Services & IoT Recorded: Mar 20 2019 53 mins
    Peter Simpson, VP Panopticon Streaming Analytics, Datawatch + Tom Underhill, Partner Solutions Architect, Confluent
    When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips.

    Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations.

    Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data.

    This online talk will include in depth practical demonstrations of how Confluent and Panopticon together support several key applications. You will learn:

    -Why Apache Kafka is widely used to improve performance of complex operational systems
    -How Confluent and Panopticon open new opportunities to analyze operational data in real time
    -How to quickly identify and react immediately to fast-emerging trends, clusters, and anomalies
    -How to scale data ingestion and data processing
    -Build new analytics dashboards in minutes
  • Express Scripts: Driving Digital Transformation from Mainframe to Microservices Recorded: Mar 12 2019 59 mins
    Ankur Kaneria, Principal Architect, Express Scripts + Kevin Petrie, Attunity + Alan Hsia, Confluent
    Express Scripts is reimagining its data architecture to bring best-in-class user experience and provide the foundation of next-generation applications. The challenge lies in the ability to efficiently and cost-effectively access the ever-increasing amount of data.

    This online talk will showcase how Apache Kafka® plays a key role within Express Scripts’ transformation from mainframe to a microservices-based ecosystem, ensuring data integrity between two worlds. It will discuss how change data capture (CDC) technology is leveraged to stream data changes to Confluent Platform, allowing a low-latency data pipeline to be built.

    Watch now to learn:

    -Why Apache Kafka is an ideal data integration platform for microservices
    -How Express Scripts is building cloud-based microservices when the system of record is a relational database residing on an on-premise mainframe
    -How Confluent Platform allows for data integrity between disparate platforms and meets real time SLAs and low-latency requirements
    -How Attunity Replicate software is leveraged to stream data changes to Apache Kafka, allowing you to build a low-latency data pipeline
  • Modernizing Your Application Architecture with Microservices Recorded: Feb 28 2019 39 mins
    Joe deBuzna, VP Field Engineering, HVR + Chong Yan, Solution Architect, Confluent
    Organizations are quickly adopting microservice architectures to achieve better customer service and improve user experience while limiting downtime and data loss. However, transitioning from a monolithic architecture based on stateful databases to truly stateless microservices can be challenging and requires the right set of solutions.

    In this webinar, learn from field experts as they discuss how to convert the data locked in traditional databases into event streams using HVR and Apache Kafka®. They will show you how to implement these solutions through a real-world demo use case of microservice adoption.

    You will learn:

    -How log-based change data capture (CDC) converts database tables into event streams
    -How Kafka serves as the central nervous system for microservices
    -How the transition to microservices can be realized without throwing away your legacy infrastructure
  • Bridge to Cloud: Using Apache Kafka to Migrate to GCP Recorded: Feb 14 2019 57 mins
    Priya Shivakumar, Director of Product, Confluent + Ryan Lippert, Product Marketing, Google Cloud
    Most companies start their cloud journey with a new use case, or a new application. Sometimes these applications can run independently in the cloud, but often times they need data from the on premises datacenter. Existing applications will slowly migrate, but will need a strategy and the technology to enable a multi-year migration.

    In this session, we will share how companies around the world are using Confluent Cloud, a fully managed Apache Kafka® service, to migrate to Google Cloud Platform. By implementing a central-pipeline architecture using Apache Kafka to sync on-prem and cloud deployments, companies can accelerate migration times and reduce costs.

    Register now to learn:
    -How to take the first step in migrating to GCP
    -How to reliably sync your on premises applications using a persistent bridge to cloud
    -How Confluent Cloud can make this daunting task simple, reliable and performant
  • Using Apache Kafka to Optimize Real-Time Analytics in Financial Services & IoT Recorded: Feb 6 2019 54 mins
    Peter Simpson, VP Panopticon Streaming Analytics, Datawatch + Tom Underhill, Partner Solutions Architect, Confluent
    When it comes to the fast-paced nature of capital markets and IoT, the ability to analyze data in real time is critical to gaining an edge. It’s not just about the quantity of data you can analyze at once, it’s about the speed, scale, and quality of the data you have at your fingertips.

    Modern streaming data technologies like Apache Kafka and the broader Confluent platform can help detect opportunities and threats in real time. They can improve profitability, yield, and performance. Combining Kafka with Panopticon visual analytics provides a powerful foundation for optimizing your operations.

    Use cases in capital markets include transaction cost analysis (TCA), risk monitoring, surveillance of trading and trader activity, compliance, and optimizing profitability of electronic trading operations. Use cases in IoT include monitoring manufacturing processes, logistics, and connected vehicle telemetry and geospatial data.

    This online talk will include in depth practical demonstrations of how Confluent and Panopticon together support several key applications. You will learn:

    -Why Apache Kafka is widely used to improve performance of complex operational systems
    -How Confluent and Panopticon open new opportunities to analyze operational data in real time
    -How to quickly identify and react immediately to fast-emerging trends, clusters, and anomalies
    -How to scale data ingestion and data processing
    -Build new analytics dashboards in minutes
  • Real-Time Data Streaming in the Insurance Industry Recorded: Jan 31 2019 51 mins
    Christian Nicoll, Generali Switzerland + Kai Waehner, Confluent + Christopher Knauf, Attunity
    Speakers: Christian Nicoll, Director of Platform Engineering & Operations, Generali Switzerland + Kai Waehner, Technology Evangelist, Confluent + Christopher Knauf, DACH Sales Director, Attunity

    Insurance companies are facing similar challenges like all other disrupted market segments like the change of customer expectations and hence the need of differentiating itself new as a brand in a challenging market environment. But at the same time, it underlies a very strict regulatory pressure.

    Generali Switzerland, as many market leaders in every industry, have understood the power of data to reimagine their markets, customers, products, and business model and managed this change by building their Connection Platform within one year.

    Christian Nicoll, Director of Platform Engineering & Operations at Generali Switzerland guides us through their journey of setting up an event-driven architecture to support their digital transformation project.

    Attend this online talk and learn more about:
    -How Generali managed it to assemble various parts to one platform
    -The architecture of the Generali Connection Platform, including Confluent, Kafka, and Attunity.
    -Their challenges, best practices, and lessons learned
    -Generali’s plans of expanding and scaling the Connection Platform
    -Additional Use Cases in regulated markets like retail banking
  • Driving Business Transformation with Real-Time Analytics Recorded: Jan 16 2019 56 mins
    Nick Dearden, Confluent + John Thuma, Arcadia Data, Thomas Clarke, RCG Global Services
    Digital transformation is more than just a buzzword, it’s become a necessity in order to compete in the modern era. At the heart of digital transformation is real-time data. Your organization must respond in real time to every customer experience transaction, sale, and market movement in order to stay competitive.

    Streaming data technologies like Apache Kafka® and Confluent KSQL, the streaming SQL engine for Apache Kafka, are being used to detect and react to events as they occur. Combining this technology with the analytics insights from RCG and visualizations from Arcadia Data delivers a powerful foundation for driving real time business decisions. Use cases span across industries and include retail transaction cost analysis, automotive maintenance and loyalty program management, and credit card fraud detection.

    Join experts from Confluent, RCG and Arcadia Data for a discussion and demo on how companies are integrating streaming data technologies to transform their business.

    Watch now to learn:

    -Why Apache Kafka is widely used for real-time event monitoring and decisioning
    -How to integrate real-time analytics and visualizations to drive business processes
    -How KSQL, streaming SQL for Kafka, can easily transform and filter streams of data in real time
  • ATM Fraud Detection with Apache Kafka and KSQL Recorded: Jan 16 2019 57 mins
    Robin Moffatt, Developer Advocate, Confluent
    Detecting fraudulent activity in real time can save a business significant amounts of money, but has traditionally been an area requiring a lot of complex programming and frameworks, particularly at scale. Using KSQL, it's possible to use just SQL to build scalable real-time applications.

    In this talk, we'll look at:
    -What KSQL is, and how its ability to join streams of events can be used to detect possibly fraudulent activity based on a stream of ATM transactions.
    -How easy it is to integrate Kafka with other systems—both upstream and downstream—using Kafka Connect to stream from a database into Kafka, and from Kafka into Elasticsearch.

    * Join 7000 other Confluent Platform users on our Slack group: https://slackpass.io/confluentcommunity

    * Find the code and instructions to run the entire demo: https://github.com/confluentinc/demo-scene/blob/master/ksql-atm-fraud-detection

    * Get started with KSQL here: https://www.confluent.io/ksql
  • Achieve Sub-Second Analytics on Apache Kafka with Confluent and Imply Recorded: Jan 10 2019 54 mins
    Rachel Pedreschi, Senior Director, Solutions Engineering, Imply.io + Josh Treichel, Partner Solutions Architect, Confluent
    Analytic pipelines running purely on batch processing systems can suffer from hours of data lag, resulting in accuracy issues with analysis and overall decision-making. Join us for a demo to learn how easy it is to integrate your Apache Kafka® streams in Apache Druid (incubating) to provide real-time insights into the data.

    In this online talk, you’ll hear about ingesting your Kafka streams into Imply’s scalable analytic engine and gaining real-time insights via a modern user interface.

    Register now to learn about:

    -The benefits of combining a real-time streaming platform with a comprehensive analytics stack
    -Building an analytics pipeline by integrating Confluent Platform and Imply
    -How KSQL, streaming SQL for Kafka, can easily transform and filter streams of data in real time
    -Querying and visualizing streaming data in Imply
    -Practical ways to implement Confluent Platform and Imply to address common use cases such as analyzing network flows, collecting and monitoring IoT data and visualizing clickstream data

    Confluent Platform, developed by the creators of Kafka, enables the ingest and processing of massive amounts of real-time event data. Imply, the complete analytics stack built on Druid, can ingest, store, query and visualize streaming data from Confluent Platform, enabling end-to-end real-time analytics. Together, Confluent and Imply can provide low latency data delivery, data transform, and data querying capabilities to power a range of use cases.
  • Digital Transformation Mindset - More Than Just Technology Recorded: Dec 20 2018 64 mins
    Neil Avery, Confluent + Tapas Chandra, Wells Fargo + Shubho Chatterjee, Independence Blue Cross + Vishal Venkatram, GE Power
    Many enterprises faced with silo’ed, batch-oriented, legacy systems struggle to compete in this new digital-first world. Adhering to the ‘If it’s not broken don’t fix it’ mentality leaves the door wide open for native digital challengers to grow and succeed. To stay competitive, your organization must respond in real time to every customer experience transaction, sale, and market movement. But how do you get there? First, you must change your mindset.

    As streaming platforms become central to data strategies, companies both small and large are re-thinking their enterprise architecture with real-time context at the forefront. Monoliths are evolving into microservices. Datacenters are moving to the cloud. What was once a ‘batch’ mindset is quickly being replaced with stream processing as the demands of the business impose real-time requirements on technology leaders.

    Join Argyle, in partnership with Confluent, in our 2018 CIO Virtual Event: The Digital Transformation Mindset – More Than Just Technology. During the webinar we’ll learn how leading companies across industries rely on a streaming platform to make event-driven architectures central to:

    • How data strategies and IT initiatives are improving the digital customer experiences
    • How executives are reducing risk with real time monitoring and anomaly detection
    • Increasing operational agility with microservices and IoT architectures within organizations
  • Real-Time Data Streaming in the Insurance Industry Recorded: Dec 13 2018 52 mins
    Christian Nicoll, Generali Switzerland + Kai Waehner, Confluent + Christopher Knauf, Attunity
    Speakers: Christian Nicoll, Director of Platform Engineering & Operations, Generali Switzerland + Kai Waehner, Technology Evangelist, Confluent + Christopher Knauf, DACH Sales Director, Attunity

    Insurance companies are facing similar challenges like all other disrupted market segments like the change of customer expectations and hence the need of differentiating itself new as a brand in a challenging market environment. But at the same time, it underlies a very strict regulatory pressure.

    Generali Switzerland, as many market leaders in every industry, have understood the power of data to reimagine their markets, customers, products, and business model and managed this change by building their Connection Platform within one year.

    Christian Nicoll, Director of Platform Engineering & Operations at Generali Switzerland guides us through their journey of setting up an event-driven architecture to support their digital transformation project.

    Attend this online talk and learn more about:
    -How Generali managed it to assemble various parts to one platform
    -The architecture of the Generali Connection Platform, including Confluent, Kafka, and Attunity.
    -Their challenges, best practices, and lessons learned
    -Generali’s plans of expanding and scaling the Connection Platform
    -Additional Use Cases in regulated markets like retail banking
We provide a central nervous system for streaming real-time data.
Confluent, founded by the creators of open source Apache Kafka®, provides the leading streaming platform that enables enterprises to maximize the value of data. Confluent Platform empowers leaders in industries such as retail, logistics, manufacturing, financial services, technology and media, to move data from isolated systems into a real-time data pipeline where they can act on it immediately.

Backed by Benchmark, Index Ventures and Sequoia, Confluent is based in Palo Alto, California. To learn more, please visit www.confluent.io.

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  • Title: Bridge to Cloud: Using Apache Kafka to Migrate to GCP
  • Live at: Feb 14 2019 9:45 pm
  • Presented by: Priya Shivakumar, Director of Product, Confluent + Ryan Lippert, Product Marketing, Google Cloud
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