Advanced Event-Driven Architectures for Web-Scale Systems

CAP Theorem, Domain Driven Design, CQRS, Design Patterns
5.00 (1 reviews)
Udemy
platform
English
language
Other
category
instructor
Advanced Event-Driven Architectures for Web-Scale Systems
17
students
1 hour
content
May 2024
last update
$13.99
regular price

Why take this course?

πŸŽ‰ Course Description: Advanced Event-Driven Architectures for Web-Scale Systems

Unlock the Power of Scalable Web Systems with John Valentino!

πŸš€ Course Headline: Master the CAP Theorem, Domain-Driven Design (DDD), CQRS, and More in Our Comprehensive Course on Event-Driven Architectures!

This course is a deep dive into the world of event-driven architectures, the backbone of web-scale systems. It's designed for software architects, developers, and IT professionals who want to build systems that can handle immense data throughput and require high availability and resilience. πŸŒπŸ’»

Course Title: Advanced Event-Driven Architectures for Web-Scale Systems

Instructor: John Valentino


Key Topics Covered:

  1. Introduction to Event-Driven Architecture:

    • Understand the fundamentals and how they differ from traditional publish-subscribe (pub/sub) models. πŸŽ“
  2. Core Concepts and Terminology:

    • Get a detailed understanding of events, event streams, and event sourcing to enhance scalable architecture. πŸ”
  3. Asynchronous Communication:

    • Examine the impact of asynchronous communication on system performance and reliability in event-driven systems. πŸ€”
  4. Persistence and Durability:

    • Discover strategies for ensuring event persistence and durability, including a deep dive into technologies like Kafka. πŸ—ƒοΈ
  5. Design Patterns and Best Practices:

    • Gain practical guidance on architectural patterns and best practices for designing robust event-driven systems. πŸ‘
  6. Real-World Case Studies:

    • Analyze successful implementations of event-driven architectures and understand the lessons learned and common pitfalls to avoid. πŸ“Š
  7. Hands-On Implementation:

    • Engage in practical exercises and projects that provide hands-on experience with building and deploying event-driven systems using modern tools and frameworks. πŸ› οΈ

Learning Outcomes:

Upon completion of this course, participants will:

  1. Have a comprehensive understanding of event-driven architecture and its advantages for web-scale systems. βœ…
  2. Be able to design and implement scalable, reliable, and maintainable event-driven solutions. 🌐
  3. Gain proficiency in using event-streaming platforms like Kafka. πŸ¦›
  4. Understand best practices and design patterns applicable to real-world projects. πŸ“š
  5. Be equipped to tackle the challenges associated with building and operating large-scale event-driven systems. πŸ’ͺ

Target Audience:

This course is tailored for:

  • Software architects who are looking to innovate in their design approach.
  • Developers aiming to build scalable, distributed systems with the latest technologies.
  • IT professionals striving to maintain and optimize large-scale web environments. πŸ‘₯

Join us on this journey to master event-driven architectures for web-scale systems! Let's transform the way we think about system design and architecture together with John Valentino's expert guidance. πŸ› οΈπŸš€

Course Gallery

Advanced Event-Driven Architectures for Web-Scale Systems – Screenshot 1
Screenshot 1 – Advanced Event-Driven Architectures for Web-Scale Systems
Advanced Event-Driven Architectures for Web-Scale Systems – Screenshot 2
Screenshot 2 – Advanced Event-Driven Architectures for Web-Scale Systems
Advanced Event-Driven Architectures for Web-Scale Systems – Screenshot 3
Screenshot 3 – Advanced Event-Driven Architectures for Web-Scale Systems
Advanced Event-Driven Architectures for Web-Scale Systems – Screenshot 4
Screenshot 4 – Advanced Event-Driven Architectures for Web-Scale Systems

Loading charts...

6001530
udemy ID
31/05/2024
course created date
26/06/2024
course indexed date
Bot
course submited by
Advanced Event-Driven Architectures for Web-Scale Systems - | Comidoc