Achieving Low-Latency Data with Edge Computing

Focused View

Gregory Green

1:13:09

282 View

01 - Introduction

01 - Introduction.mp4

00:37

02 - Prerequisites.mp4

00:54

03 - Exercise files.mp4

00:24

02 - 1. Edge Computing Latency Overview

01 - What is edge computing.mp4

04:29

02 - Overview of data latency.mp4

03:27

03 - Why is low-latency data with edge computing important.mp4

02:18

03 - 2. Edge Computing Low-Latency Architecture

01 - Reference architecture.mp4

02:45

02 - Messaging systems.mp4

02:23

03 - Push vs. pull.mp4

03:46

04 - In-memory access.mp4

03:10

05 - Scalability.mp4

05:31

04 - 3. Implementation

01 - Implementation architecture.mp4

03:24

02 - MQTT.mp4

03:02

03 - RabbitMQ.mp4

04:37

04 - Apache Geode.mp4

04:40

05 - Spring.mp4

03:30

05 - 4. Demonstrations

01 - Demo example implementation overview.mp4

03:55

02 - Producing at the edge using RabbitMQ.mp4

07:43

03 - Consuming edge data using RabbitMQ.mp4

09:42

04 - Low-latency access using Apache Geode.mp4

01:02

06 - Conclusion

01 - Wrap up.mp4

01:50

Description

Edge computing processes data at or near its actual physical source, which allows you to make data available faster than ever—without poor user experiences, bottlenecks, or system degradation. In this course, instructor Gregory Green walks you through how to achieve low latency by building a scaling architecture for edge computing data integration and management.

Discover best practices for reliable messaging and patterns for throughput as well as low latency with flexible data pipelines and multisite cloud-based use cases. Explore some of the most important factors that affect edge computing latency, diving deeper into antipatterns and the pros and cons of database management technologies, with examples drawn from RabbitMQ, Apache Geode, MQTT, and Spring. Along the way, Gregory gives you tips and pointers with hands-on demonstrations of how to successfully design and implement edge computing architecture for low-latency data access in real time.

More details

User Reviews

Rating

average 0

Total votes0

Focused display

Spring Boot

Data Analysis

Gregory Green

Instructor's Courses

Senior software architect, developer, and consultant with over 25 years of diverse experience in various industries such as financial, pharmaceutical, telecommunication, and others. Specializing in Java and .NET C# based data services solutions. Extensive expertise in data management frameworks, application performance tuning, enterprise integration, application architecture, and development design patterns. EXPERTISE • Apache Geode/GemFire • RabbitMQ • Cloud-Native Data • Cloud-Native Applications • Agile Software Development • System Analysis/Architecture • Aspect-Oriented Programming (AOP) • Requirements Analysis • Web Development • Enterprise Integration • Software Design Patterns • Database Management/Migration

Linkedin Learning

View courses Linkedin Learning

LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.