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    ask confluent

    Explore "ask confluent" with insightful episodes like "Ask Confluent #18: The Toughest Questions ft. Anna McDonald", "Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund", "Ask Confluent #16: ksqlDB Edition", "Ask Confluent #15: Attack of the Zombie Controller" and "Ask Confluent #14: In Control of Kafka with Dan Norwood" from podcasts like ""Streaming Audio: Apache Kafka® & Real-Time Data", "Streaming Audio: Apache Kafka® & Real-Time Data", "Streaming Audio: Apache Kafka® & Real-Time Data", "Streaming Audio: Apache Kafka® & Real-Time Data" and "Streaming Audio: Apache Kafka® & Real-Time Data"" and more!

    Episodes (18)

    Ask Confluent #18: The Toughest Questions ft. Anna McDonald

    Ask Confluent #18: The Toughest Questions ft. Anna McDonald

    It’s the first work-from-home episode of Ask Confluent, where Gwen Shapira (Core Kafka Engineering Leader, Confluent) virtually sits down with Apache Kafka® expert Anna McDonald (Staff Technical Account Manager, Confluent) to answer questions from Twitter. 

    Find out Anna’s favorite Kafka Improvement Proposal (KIP), which  will start to use racially neutral terms in the Kafka community and in our code base, as well as answers to the following questions: 

    • If you could pick any one KIP from the backlog that hasn't yet been implemented and have it immediately available, which one would you pick?
    • Are we able to arrive at any formula for identifying the consumer/producer throughput rate in Kafka with the given hardware specifications (CPU, RAM, network, and disk)? 
    • Does incremental cooperative rebalancing also work for general Kafka consumers in addition to Kafka Connect rebalancing?

    They also answer how to determine throughput and achieve your desired SLA by using partitions. 

    EPISODE LINKS

    Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund

    Ask Confluent #17: The “What is Apache Kafka?” Episode ft. Tim Berglund

    Ask Confluent is back! From questions on Apache Kafka®, data integration, and log aggregation, to potential interview questions that Tim would ask if he were to interview himself, anything goes. 

    If you're already a Kafka expert (or any type of expert), think about becoming a speaker. Gwen and Tim talk through how to submit a proposal and get accepted to conferences. As experienced conference goers, they explain that what makes a successful talk is making sure you present for the attendee instead of making it about yourself. In essence, what can your idea or code do to help someone else? 

    From there, the pair chat about the secret for a long marriage, REST Proxy and where it exists in Confluent Operator, how Kafka relates to Splunk when aggregating logs, and whether Tim can start making some use case based video content so that people can better understand Kafka and how it works. For those who have just started integrating Kafka, Tim and Gwen also provide some pointers about how to go about understanding it. 

    EPISODE LINKS

    Ask Confluent #16: ksqlDB Edition

    Ask Confluent #16: ksqlDB Edition

    Vinoth Chandar has led various infrastructure projects at Uber and is one of the main drivers behind the ksqlDB project. In this episode hosted by Gwen Shapira (Engineering Manager, Cloud-Native Apache Kafka®), Vinoth and Gwen discuss what ksqlDB is, the kinds of applications that you can build with it, vulnerabilities, and various ksqlDB use cases. They also talk about what's currently the best version of Apache Kafka version for performance improvements that don’t cause breaking changes to existing Kafka configuration and functionality. 

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    Ask Confluent #15: Attack of the Zombie Controller

    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

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    Ask Confluent #13: Machine Learning with Kai Waehner

    Ask Confluent #11: More Services, More Metrics, More Fun

    Ask Confluent #11: More Services, More Metrics, More Fun

    Do metrics for detecting clients from old versions actually exist? Or is Gwen making features up? This and more useful advice is coming up on today's episode of Ask Confluent.

    EPISODE LINKS

    • The Java property that will refresh DNS cache frequently: java.security.Security.setProperty(“networkaddress.cache.ttl” , “60");
    • Improvements to DNS lookups in Confluent Platform 5.1.2 (Apache Kafka 2.1.1):
    • More reasons to upgrade to Confluent Platform 5.1.2
    • Monitoring clients with old versions:
      • KIP-188 has lots of important new metrics 
    • If you are worried about “down-conversion” as discussed in Ask Confluent #5, you want to monitor: MBean: kafka.server:type=BrokerTopicMetrics,name=FetchMessageConversionsPerSec,topic=([-.\w]+)
    • KIP-188 also added a metric for temp memory usage (memory used for conversion and compression) that can be useful
    • In KIP-272, we’ve added version tag to request metrics, so you can see how many requests per sec you get from each version
    • Recommendations for Kafka Summit NYC
    • Watch the video version of this podcast

    Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

    Ask Confluent #10: Cooperative Rebalances for Kafka Connect ft. Konstantine Karantasis

    Want to know how Kafka Connect distributes tasks to workers? Always thought Connect rebalances could be improved? In this episode of Ask Confluent, Gwen Shapira speaks with Konstantine Karantasis, software engineer at Confluent, about the latest improvements to Kafka Connect and how to run the Confluent CLI on Windows.

    EPISODE LINKS

    Ask Confluent #9: With and Without ZooKeeper

    Ask Confluent #9: With and Without ZooKeeper

    Gwen asks: What happens when garbage collection causes Kafka to pause? And how do we run a Schema Registry cluster? We’ll find out in this episode of Ask Confluent.

    In "Ask Confluent," Gwen Shapira (Software Engineer, Confluent) and guests respond to a handful of questions and comments from Twitter, YouTube and elsewhere.

    EPISODE LINKS

    Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks

    Ask Confluent #8: Guozhang Wang on Kafka Streams Standby Tasks

    Gwen is joined in studio by special guest Guozhang Wang, Kafka Streams pioneer and engineering lead at Confluent. He’ll talk to us about standby tasks and how one deserializes message headers. In "Ask Confluent," Gwen Shapira (Data Architect, Confluent) and guests respond to a handful of questions and comments from Twitter, YouTube and elsewhere.

    EPISODE LINKS

    Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax

    Ask Confluent #7: Kafka Consumers and Streams Failover Explained ft. Matthias Sax

    Gwen is joined in studio by special guest Matthias J. Sax, a software engineer at Confluent. He’ll talk to us about Kafka consumers and Kafka Streams failover. In "Ask Confluent," Gwen Shapira (Data Architect, Confluent) and guests respond to a handful of questions and comments from Twitter, YouTube and elsewhere.

    EPISODE LINKS

    Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson

    Ask Confluent #6: Kafka, Partitions, and Exactly Once ft. Jason Gustafson

    Gwen is joined in studio by special guest Jason Gustafson, a Kafka PMC member and engineer at Confluent. He’ll talk to us about the big questions on Kafka architecture— number of partitions and exactly once. In "Ask Confluent," Gwen Shapira (Data Architect, Confluent) and guests respond to a handful of questions and comments from Twitter, YouTube and elsewhere.

    EPISODE LINKS

    Ask Confluent #4: The GitHub Edition

    Ask Confluent #4: The GitHub Edition

    Want to see a feature implemented in KSQL or other Kafka-related project? Gwen answers your questions from YouTube and walks through how to use GitHub issues to request features. This is the episode #4 of "Ask Confluent," a segment in which Gwen Shapira and guests respond to a handful of questions and comments from Twitter, YouTube and elsewhere.

    EPISODE LINKS

    Ask Confluent #3: Kafka Upgrades, Cloud APIs and Data Durability

    Ask Confluent #3: Kafka Upgrades, Cloud APIs and Data Durability

    Tim Berglund and Gwen Shapira have a discussion with Koelli Mungee (Customer Operations Lead, Confluent) and cover the latest Apache Kafka upgrades, cloud APIs, and data durability. This is episode #3 of "Ask Confluent," a segment in which Gwen Shapira and guests respond to a handful of questions and comments from Twitter, YouTube, and elsewhere.

    EPISODE LINKS

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