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🚀 Apache Pulsar Training

Event Streaming, Real-Time Messaging & Cloud-Native Distributed Streaming Solutions

📘 What is Apache Pulsar?

 

:contentReference[oaicite:0]{index=0} Apache Pulsar

is a cloud-native distributed messaging and event streaming platform

used to:

Process real-time data

Build event-driven applications

Enable microservices communication

Handle large-scale messaging

Support multi-tenant streaming

Accelerate digital transformation

 

Apache Pulsar helps organizations:

Process massive real-time data streams

Enable event-driven architecture

Improve distributed scalability

Support high-throughput messaging

Enhance enterprise analytics

Simplify cloud-native streaming

 

Pulsar combines:

Distributed messaging

Event streaming

Real-time analytics

Stream processing

Multi-tenant architecture

Geo-replication

 

Pulsar technologies are widely used in:

Banking & finance organizations

Healthcare enterprises

Retail & e-commerce companies

Manufacturing industries

Telecom organizations

Government organizations

IoT enterprises

Global enterprise operations

 

Apache Pulsar is known for:

Cloud-native architecture

Multi-layer storage separation

High scalability

Geo-replication

Multi-tenancy

Low-latency messaging

 

Pulsar is considered a next-generation alternative to Kafka

for organizations requiring:

Built-in multi-tenancy

Queue + stream support

Tiered storage

Geo-distributed messaging

Cloud-native scalability

Apache Pulsar Supports

 

Event streaming

Distributed messaging

Real-time analytics

Microservices communication

Cloud integration

Data pipelines

Stream processing

Geo-replication

Multi-tenant systems

Operational governance

🏢 Apache Pulsar Helps Organizations

 

Process enterprise events

Improve operational efficiency

Accelerate digital transformation

Enhance enterprise scalability

Support hybrid integrations

Enable real-time analytics

🏭 Industries Using Apache Pulsar

 

Banking & Finance

Healthcare

Retail & E-Commerce

Insurance Systems

Manufacturing

Telecom Industry

Government Services

IoT Platforms

Enterprise Data Platforms

Cloud-Native Enterprises

🛠 Popular Technologies Used with Apache Pulsar

 

:contentReference[oaicite:1]{index=1} Pulsar Functions

:contentReference[oaicite:2]{index=2} Pulsar IO

:contentReference[oaicite:3]{index=3} Pulsar SQL

BookKeeper

ZooKeeper

KRaft Alternatives

REST APIs

JSON

Avro

Protobuf

Schema Registry

Event-Driven Architecture

Microservices Architecture

Docker

Kubernetes

Helm

Terraform

CI/CD Pipelines

GitHub

Jenkins

Java

Spring Boot

Python

Go

Scala

Node.js

Spark Streaming

Flink

Elasticsearch

MongoDB

MySQL

PostgreSQL

AWS

Azure

Google Cloud Platform (GCP)

Salesforce Integration

SAP Integration

 

:contentReference[oaicite:4]{index=4} StreamNative

:contentReference[oaicite:5]{index=5} AWS Integration

:contentReference[oaicite:6]{index=6} Azure Integration

:contentReference[oaicite:7]{index=7} Google Cloud Integration

💡 In Simple Words

 

Apache Pulsar helps organizations

stream real-time data,

process distributed events,

connect microservices,

and improve enterprise digital operations efficiently.

🎯 Course Overview

 

This course helps you learn:

Pulsar fundamentals

Event-driven architecture

Distributed messaging

Pulsar producers & consumers

Pulsar Functions & IO

Cloud-native event streaming

Geo-replication

Monitoring & troubleshooting

Real-time analytics

Enterprise Pulsar projects

 

Learn Apache Pulsar

from beginner to advanced level

with practical hands-on streaming labs.

⚙️ How Apache Pulsar Works

 

Publish events

Stream real-time data

Process distributed messages

Consume enterprise events

Analyze streaming pipelines

Strengthen enterprise event architecture

 

Example:

Build event-driven systems,

stream banking transactions,

process IoT events,

or integrate enterprise applications using Pulsar technologies.

🏢 Real-Time Business Use Cases

 

BANKING & FINANCE

Real-time fraud detection systems

Transaction streaming platforms

 

HEALTHCARE

Patient monitoring event systems

Healthcare data streaming platforms

 

RETAIL & E-COMMERCE

Real-time recommendation engines

Customer analytics pipelines

 

MANUFACTURING

IoT sensor streaming systems

Industrial monitoring platforms

 

ENTERPRISE OPERATIONS

Enterprise event streaming systems

Cloud-native data integration platforms

📚 DETAILED COURSE CONTENT

 

Module 1: Introduction to Apache Pulsar

What is Pulsar

Distributed messaging overview

Event streaming concepts

Pulsar architecture

Installation & setup

Enterprise messaging basics

 

Module 2: Pulsar Core Concepts

Topics & partitions

Tenants & namespaces

Brokers

Producers & consumers

Subscriptions

Operational efficiency

Messaging systems

 

Module 3: Pulsar Producers

Producer APIs

Message publishing

Serialization

Compression

Delivery guarantees

Operational analytics

Producer systems

 

Module 4: Pulsar Consumers

Consumer APIs

Subscription models

Message acknowledgments

Dead letter queues

Message replay

Operational governance

Consumer systems

 

Module 5: Pulsar Cluster Architecture

Broker management

BookKeeper architecture

Storage separation

Fault tolerance

Operational scalability

Cluster systems

 

Module 6: Pulsar Functions

:contentReference[oaicite:8]{index=8} Pulsar Functions fundamentals

Serverless stream processing

Event transformations

Stateful processing

Operational intelligence

Function systems

 

Module 7: Pulsar IO Connectors

:contentReference[oaicite:9]{index=9} Pulsar IO fundamentals

Source connectors

Sink connectors

Database integration

Cloud integrations

Operational governance

Connector systems

 

Module 8: Schema Registry & Serialization

Schema Registry

Avro serialization

Protobuf integration

JSON schemas

Data governance

Operational efficiency

Serialization systems

 

Module 9: Event-Driven Architecture

Microservices communication

Event sourcing

CQRS patterns

Distributed systems

Operational analytics

Event systems

 

Module 10: Real-Time Data Processing

Stream analytics

Real-time pipelines

Spark integration

Flink integration

Operational intelligence

Processing systems

 

Module 11: Geo-Replication & Multi-Tenancy

Geo-replication

Disaster recovery

Multi-tenant systems

Cross-region streaming

Operational scalability

Replication systems

 

Module 12: Cloud & Hybrid Integration

AWS integration

Azure integration

Google Cloud integration

Hybrid cloud streaming

Operational governance

Cloud systems

 

Module 13: Docker & Kubernetes Integration

Docker fundamentals

Containerized Pulsar

Kubernetes deployment

Cloud-native Pulsar

Helm charts

Operational resilience

Container systems

 

Module 14: Monitoring & Observability

Prometheus monitoring

Grafana dashboards

Log analysis

Performance tuning

Operational intelligence

Monitoring systems

 

Module 15: Security & Authentication

SSL encryption

Token authentication

OAuth 2.0

Authorization policies

Operational governance

Security systems

 

Module 16: DevOps & CI/CD Integration

GitHub workflows

Jenkins pipelines

Terraform automation

Infrastructure as Code

Operational scalability

DevOps systems

 

Module 17: Performance Optimization

Partition optimization

Consumer tuning

Producer optimization

Cluster scaling

Operational efficiency

Optimization systems

 

Module 18: Troubleshooting & Administration

Pulsar debugging

Error handling

Broker troubleshooting

Cluster maintenance

Operational analytics

Administration systems

 

Module 19: Advanced Pulsar Concepts

Tiered storage

Multi-cluster architecture

Cloud-native optimization

Advanced event streaming

Operational governance

Advanced systems

 

Module 20: Real-Time Enterprise Pulsar Projects

Enterprise event streaming platform

Real-time fraud detection system

IoT data streaming environment

Cloud-native analytics platform

Pulsar monitoring dashboard

Hybrid cloud streaming solution

 

Module 21: Certification & Interview Preparation

Pulsar interview questions

Event streaming discussions

Microservices scenarios

Cloud integration workflows

Enterprise messaging discussions

Resume preparation

 

💼 Career Opportunities

 

Pulsar Developer

Streaming Platform Engineer

Data Engineer

Cloud Integration Engineer

Microservices Developer

DevOps Engineer

Big Data Engineer

Enterprise Architect

Benefits of Learning Apache Pulsar

 

High-demand event streaming skill

Strong distributed systems expertise

Excellent enterprise automation opportunities

Real-world Pulsar implementation experience

Strong cloud & real-time analytics opportunities

Excellent global IT job demand

 

Apache Pulsar advantages include:

Built-in multi-tenancy

Queue + stream messaging support

Geo-replication

Tiered storage

Cloud-native architecture

Low operational overhead

🌟 Why Choose GTC Trainings?

 

Real-time Pulsar projects

Expert streaming platform trainers

Hands-on practical learning

Certification preparation

Interview preparation

Placement assistance

Flexible online training

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Who Can Learn ?

  • Students
  • Freshers
  • Java Developers
  • Backend Developers
  • Data Engineers
  • Cloud Engineers
  • DevOps Engineers
  • Integration Engineers
  • IT Professionals
  • Basic programming and database knowledge is helpful but not mandatory.