From the course: Complete Guide to Apache Kafka for Beginners
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Conduktor: Demo - Kafka Tutorial
From the course: Complete Guide to Apache Kafka for Beginners
Conduktor: Demo
- [Instructor] So let's have a quick look at the Conductor UI so you can see what is available. So we have in the Home, the information about our cluster. In the top left, we can select a cluster, even manage them, and you could add clusters if you wanted to by just having your cluster name, the technical name ID, and the bootstrap servers, as well as any authentication method if necessary. And we give you guides to connect to so many kinds of Kafka. So we can select multiple clusters. Here we have this one, and in there we have a view around some indexing state and the recently viewed topics, subjects and so on. So if you go into topics, you will find all the topics that you know. For example, for the first topic, I can find all my records with the key, the values, the timestamps, and so on. I can click on a specific message and get some details, such as, for example, what was the key? What was the value? As…
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Contents
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Topics, partitions, and offsets6m 10s
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Producers and message keys7m 24s
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Consumers and deserialization4m 1s
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Consumer groups and consumer offsets7m 4s
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Brokers and topics4m 28s
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Topic replication5m 30s
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Producer acknowledgments and topic durability2m 9s
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ZooKeeper5m 14s
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Kafka KRaft: Removing ZooKeeper1m 58s
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Theory roundup1m 33s
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Important: Starting Kafka and lectures order3m 53s
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Starting Kafka with Conduktor: Multi-platform5m 7s
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macOS X: Download and set up Kafka in PATH6m 13s
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macOS X: Start Kafka in KRaft mode2m 25s
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macOS X: Using brew4m 28s
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Linux: Download and set up Kafka in PATH5m 38s
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Linux: Start Kafka in KRaft mode2m 59s
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Windows WSL2: WSL2 Setup2m 24s
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Windows WSL2: Download Kafka and PATH setup5m 4s
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Windows WSL2: Start Kafka in KRaft mode2m 10s
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Windows WSL2: How to fix problems5m 21s
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Kafka SDK list1m 14s
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Creating a Kafka project8m 37s
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Java producer12m 4s
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Java producer callbacks10m 9s
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Java producer with keys4m 56s
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Java consumer12m 15s
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Java consumer: Graceful shutdown6m 49s
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Java consumer inside consumer group4m 50s
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Java consumer incremental cooperative rebalance and static group membership7m 13s
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Java consumer incremental cooperative rebalance: Practice3m 56s
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Java consumer auto offset commit behavior3m 1s
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Programming: Advanced tutorials1m 36s
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Wikimedia producer project setup6m 25s
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Wikimedia producer implementation11m 54s
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Wikimedia producer run2m 40s
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Wikimedia producer: Producer config intros45s
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Producer acknowledgments deep dive8m 48s
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Producer retries3m 3s
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Idempotent producer2m 52s
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Safe Kafka producer settings1m 59s
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Wikimedia producer safe producer implementation4m 3s
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Kafka message compression4m 47s
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linger.ms and batch.size producer settings3m 23s
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Wikimedia producer high-throughput implementation3m 16s
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Producer default partitioner and sticky partitioner4m 18s
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[Advanced] max.block.ms and buffer.memory2m 39s
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OpenSearch consumer: Project overview52s
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OpenSearch consumer: Project setup3m 32s
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Setting up OpenSearch on Docker2m 38s
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Setting up OpenSearch on the Cloud1m 57s
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OpenSearch 1014m 26s
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OpenSearch consumer implementation: Part 17m 26s
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OpenSearch consumer implementation: Part 29m 34s
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Consumer delivery semantics3m 16s
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OpenSearch consumer implementation: Part 3 idempotence5m 29s
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Consumer offsets commit strategies4m 38s
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OpenSearch consumer implementation: Part 4 delivery semantics4m 52s
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OpenSearch consumer implementation: Part 5 batching data4m 20s
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Consumer offset reset behavior2m 6s
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OpenSearch consumer implementation: Part 6 replaying data2m 57s
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Consumer internal threads5m
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Consumer replica fetching: Rack awareness2m 50s
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Kafka extended APIs: Overview1m 23s
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Kafka Connect introduction2m 32s
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Kafka Connect Wikimedia and Elasticsearch hands-on10m 50s
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Kafka Streams introduction1m 52s
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Kafka Streams hands-on4m 25s
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Kafka Schema Registry introduction4m 28s
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Kafka Schema Registry hands-on6m 54s
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Which Kafka API should you use?1m 27s
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Choosing partition count and replication factor5m 21s
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Kafka topics naming convention1m 31s
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Case study: MovieFlix5m 10s
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Case study: GetTaxi4m 18s
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Case study: MySocialMedia5m 32s
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Case study: MyBank3m 41s
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Case study: Big data ingestion1m 36s
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Case study: Logging and metrics aggregation1m 8s
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Changing a topic configuration4m 35s
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Segment and indexes4m 4s
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Log cleanup policies2m 53s
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Log cleanup delete2m 27s
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Log compaction theory4m 52s
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Log compaction practice4m 49s
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Unclean leader election1m 43s
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Large messages in Kafka2m 49s
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