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Премиум
  • Урок 1. 00:01:06
    Apache Kafka Installation Overview
  • Урок 2. 00:00:53
    Installing Apache Kafka on the Mac and Unix-like systems
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    Installing Apache Kafka on the Mac
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    Installing Ubuntu on MacOS using VirtualBox
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    SECTION 2 Introduction
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    Creating remote Ubuntu Virtual Private Server
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    Installing Apache Kafka on Virtual Private Server
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    SECTION 3 Introduction
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    Installing Apache Kafka on Windows
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    Starting Zookeeper and Kafka server on Windows
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    Installing Ubuntu on Windows using VirtualBox
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    Installing Apache Kafka on Ubuntu using GUI
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    SECTION 4 Introduction
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    Observing contents of the Kafka folder
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    Reading and editing Kafka files using VisualStudio Code
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    Trying to start Kafka Server
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    Observing Kafka Server logs
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    Starting Zookeeper
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    Starting Kafka Server while Zookeeper is up and running
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    Observing logs folder and current kafka server setup
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    SECTION 5 Introduction
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    How to connect to Kafka cluster
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    Create new Kafka topic
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    What happened after creation of the new topic
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    Read details about topic
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    SECTION 6 Introduction
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    Send some messages using Kafka Console Producer
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    Consuming messages using Kafka Console Consumer
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    Consuming messages from the beginning
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    Running multiple consumers
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    Running multiple producers
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    What was changed in the Kafka logs
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    SECTION 7 Introduction
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    What is Apache Kafka
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    Broker
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    Broker cluster
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    Zookeeper
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    Zookeeper ensemble
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    Multiple Kafka clusters
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    Default ports of Zookeeper and Broker
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    Kafka Topic
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    Message structure
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    Topics and Partitions
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    Spreading messages across partitions
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    Partition Leader and Followers
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    Controller and it's responsibilities
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    How Producers write messages to the topic
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    How Consumers read messages from the topic
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    SECTION 8 Introduction
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    GitHub repository and list of basic Kafka commands
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    Diagrams for the course
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    SECTION 9 Introduction
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    Cleaning up existing kafka installation
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    Creating topic with multiple partitions
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    How messages were spread across different partitions
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    Reading messages from specific partition
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    Reading messages from specific offset in specific partition
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    Reading details about topic and __consumer_offsets topic
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    Summary for multiple partitions example
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    SECTION 10 Introduction
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    Example overview - run multiple brokers
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    Creating separate configuration files for brokers
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    Launching three brokers
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    Getting cluster information and broker details from Zookeeper
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    Creating multiple-partition topic in the Kafka cluster
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    Looking at logs folders of every broker
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    Producing and consuming messages in the cluster
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    Details about topic in the cluster
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    Simulating broker failure in the cluster
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    Summary for broker cluster and topic without replication
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    SECTION 11 Introduction
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    Preparing for the next example with replication
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    Launching brokers and creating topic with replication
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    Observing logs folder and details of the topic
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    Producing and consuming messages in the topic with replication
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    Observing how messages were stored in the partitions on different brokers
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    Bringing down one of three brokers and observing changes
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    Bringing down another broker in the cluster
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    Bringing back both brokers
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    Summary for replication
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    SECTION 12 Introduction
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    Example with consumer groups overview
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    Exploring default consumer groups
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    Starting consumer in the custom consumer group
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    Starting second consumer in the same consumer group
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    Launching one more consumer in the same group
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    Idle consumers in the group
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    Summary for consumer groups
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    SECTION 13 Introduction
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    Overview of the performance testing example
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    Starting cluster and launching basic performance test
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    Increasing performance test parameters
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    Testing consumer performance
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    Getting non-zero LAG values for consumers
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    Performance test example summary
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    SECTION 14 Introduction
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    Project Files for the Java section
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    Installing IntelliJ editor
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    Creating and configuring Maven project
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    Starting Kafka Cluster
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    Creating Java Producer
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    Continue Creating Java Producer
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    Launching Java Producer
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    Explaining most common Producer parameters
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    Modifying Serializer type
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    Producing meaningful messages with delay
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    Refactoring Producer by adding previous example
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    Creating consumer with autocommitting - PART 1
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    Creating consumer with autocommitting - PART 2
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    Consumer parameters overview
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    Consumer with Manual Committing
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    Consumer with Partitions Assignment
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    Launching multipile consumers in the same consumer group
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    CHALLENGE - Subscribe vs Assign with consumer groups
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    SECTION 15 Introduction
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    Installing Node.js with NPM
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    Starting up Kafka cluster with 3 brokers
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    Initializing Node.js project
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    Final Node.js project files
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    Creating basic Node.js producer
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    Producing random animal names
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    Creating Node.js consumer
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    SECTION 16 Introduction
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    Installing Python
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    Final Python project files
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    Launching basic Python producer
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    Launching consumer and receiving messages
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    Generating fake names in the messages by producer
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    Course Summary