The Event Mesh: A Primer

IoT

Related Topics

Connectivity services Industrial IoT Intelligent edge

Top Articles

Hover to load posts
Real-Time Analytics

Related Topics

Decision Automation Real-Time Decisions Stream Processing Streaming analytics, event processing

Top Articles

Hover to load posts
Artificial Intelligence

Related Topics

AIOps Cognitive Computing Deep Learning Expert Systems Generative AI IBM Watson Machine Learning Natural Language Processing Reasonable AI

Top Articles

Hover to load posts
Big Data

Related Topics

Big data analysis tools Big data architectures Big data platforms Data management

Top Articles

Hover to load posts
Industries

Related Topics

Aviation Energy Entertainment / Digital Media Financial Services Healthcare Manufacturing Retail Sales, marketing Shipping / Postal Smart Cities

Top Articles

Hover to load posts
Use cases

Related Topics

Asset performance, production optimization Compliance and Anti-Fraud Computer-aided diagnosis and bioinformatics Crisis Management Customer Experience Management Energy management Financial analysis IT monitoring Medical diagnostics Network and Application Monitoring

Top Articles

Hover to load posts
Reports

Top Articles

Hover to load posts
Resources

Resource Hubs

Engineering the Real-Time Backbone Our Resources

Featured Resources

Link to Best Practices for Deploying and Scaling Industrial AI

Best Practices for Deploying and Scaling Industrial AI

Artificial Intelligence (AI) is transforming industrial operations, helping organizations optimize workflows, reduce downtime, and enhance productivity. Different industry verticals leverage AI in unique ways.

Link to The Center for Adaptive Edge Intelligence

The Center for Adaptive Edge Intelligence

Adaptive edge intelligence brings real-time decision-making to the point of data creation, whether from sensors, machines, or cameras.

Link to The Value of Vehicle Electrification

The Value of Vehicle Electrification

Electric vehicles (EVs) present automakers with many design, engineering, and manufactu ring challenges.

Link to Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Accelerating Manufacturing Digital Transformation with Industrial Connectivity and IoT

Digital transformation is empowering industrial organizations to deliver sustainable innovation, disruption-proof products and services, and continuous operational improvement.

Link to Smart Manufacturing for Automotive

Smart Manufacturing for Automotive

Leading a transportation revolution in autonomous, electric, shared mobility and connectivity with the next generation of design and development tools.

Link to Center for Data Pipeline Automation

Center for Data Pipeline Automation

As businesses become data-driven and rely more heavily on analytics to operate, getting high-quality, trusted data to the right data user at the right time is essential.

Link to Center for Automated Integration

Center for Automated Integration

The goal of automated integration is to enable applications and systems that were built separately to easily share data and work together, resulting in new capabilities and efficiencies that cut costs, uncover insights, and much more.

Link to Continuous Intelligence: Insights

Continuous Intelligence: Insights

Digital transformation requires continuous intelligence (CI). Today's digital businesses are leveraging this new category of software which includes real-time analytics and insights from a single, cloud-native platform across multiple use cases to speed decision-making, and drive world-class customer experiences.
Blockchain Blockchain
Cloud technologies Cloud technologies
Data integration tools Data integration tools
Decision management Decision management
In-memory computing In-memory computing
Intelligent integration and BPM Intelligent integration and BPM
IIC Testbeds IIC Testbeds
Videos Videos
Events Events

Event-driven architecture (EDA) is a software architecture paradigm promoting the production, detection, consumption of, and reaction to events. But EDA entails more than just the production and consumption of events.

Written By

RTInsights Team

Oct 18, 2020

1 minute read

It involves the planning for how events are interpreted, transformed, published to subscribers, propagated across distributed networks, and persisted.

In this primer, sponsored by Red Hat, you’ll learn about:

What events are and examples of events-enabling technologies.
EDA adoption in the enterprise.
What an event mesh is and its role as a key enabler for the event-driven enterprise.
Deploying the event mesh in the real world and more.

To download, fill in the form on the right.

RTInsights Team

Recommended for you...

Leveraging Connectivity and Predictive Analytics to Proactively Service Products in the Field (Special Report)

Featured Resources from Cloud Data Insights

Big Data

Large Data Volumes Are Not Your Performance Problem

Aggressive data reduction can produce the opposite of its intended effect. While sampling or heavy aggregation may reduce the apparent complexity of individual queries, they also remove the fine-grained signals that multi-step reasoning depends on.

Tyler Hannan

Aug 13, 2026

Artificial intelligence technologies

Frontier AI Is a Warning to Fix Remediation Now

Frontier AI is here, and the industry must adapt to the changes it brings. Security teams can still get ahead by testing and protecting their systems before attackers discover widespread vulnerabilities and novel ways to exploit them.

Paolo Del Mundo

Aug 11, 2026

Analytics

Real-time Analytics News for the Week Ending August 8

In this week’s real-time analytics news: The Linux Foundation launched the Tokenomics Foundation to focus on the creation of open industry standards, benchmarks, and best practices for the economics of AI.

Salvatore Salamone

Aug 9, 2026

Artificial intelligence technologies

The Agentic AI Readiness Gap: Proving the Agent’s Work

Agentic AI will not scale because agents become more capable. It will scale when enterprises can trust the operating system around them.

Harshil Shah

Aug 8, 2026

Analysis and market insights on real-time analytics including Big Data, the IoT, and cognitive computing. Business use cases and technologies are discussed.

Company

About us Contact us Our Team Engage with Us Write for us Brain Trust

The Event Mesh: A Primer

RTInsights Team

Featured Resources from Cloud Data Insights

Company

Categories