Distributed Event Streaming Virtual Lab

Master enterprise event streaming. Configure multi-machine clusters, debug network listener properties, format KRaft metadata storage, and stream real-time events across independent broker, producer, and consumer machines.

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Module 2: Microsoft Azure

Azure Analytics Virtual Lab

Master Enterprise Analytics. Ingest data into Azure, store it efficiently, and perform real-time, micro-batch, and batch processing for comprehensive cloud analytics.

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Module 3: IoT

Internet of Things (IoT) Lab

Master IoT integrations. Connect sensors, ingest telemetry data into real-time streams, and trigger actions across distributed systems.

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Module 4: NVIDIA Jetson Nano

NVIDIA Jetson Nano Lab

Master Edge AI Hardware. Set up the Jetson Nano, interface with I/O and cameras, and run deep-learning computations locally on edge devices.

track_changes Course Objectives

check_circle To understand the architecture and operational mechanics of Apache Kafka in ZooKeeper-less KRaft (Kafka Raft Metadata Mode).
check_circle To configure distributed multi-machine deployments by establishing proper listeners, advertised.listeners, and firewall port permissions across LAN/WAN subnets.
check_circle To master topic partition lifecycle, replication factor strategies, commit log segments, and consumer offset tracking mechanisms.
check_circle To gain hands-on experience producing high-throughput streams and consuming events with at-least-once, at-most-once, and exactly-once delivery guarantees.
check_circle To troubleshoot common real-world distributed networking bugs including UnknownHostException, quorum disconnects, and listener advertising mismatches.

menu_book Essential Resources & References

description Official Apache Kafka 4.x Documentation

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account_tree KRaft Mode Overview & Migration Guide

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code OpenJDK 17 LTS Archive Downloads

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router Kafka Listeners & Networking Demystified

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