Microservices: Asynchronous Messaging
1h 44mAdvanced2021-10-29
Authors

Frank P Moley III
Senior Principal Engineer at Catch&Release
Course details
Discover how to get work done more efficiently with asynchronous messaging, an alternative way of handling communication in a microservices architecture. In this course, Frank Moley shows software developers charged with building large applications how to go beyond RESTful API calls over HTTP and leverage asynchronous messaging when architecting and building microservices. Frank digs into the gains and tradeoffs you must accept when using asynchronous patterns. He also discusses interservice communication patterns, event-driven microservices patterns, using asynchronous messaging to solve for data migration when moving to microservices architectures, and more.
Learning objectives
Gains and tradeoffs of asynchronous communications
Use cases for interservice communication patterns
Event-driven microservices
Use cases for choreographed and orchestrated events
Streaming data platforms
Data flows, migration, and synchronization
Learning objectives
Gains and tradeoffs of asynchronous communications
Use cases for interservice communication patterns
Event-driven microservices
Use cases for choreographed and orchestrated events
Streaming data platforms
Data flows, migration, and synchronization
Skills covered
Software ArchitectureSoftware DevelopmentDeep Dive (X:Y)
Concepts
0. Introduction
- 01 - Getting work done in microservices
- 02 - What you need to know
1. Asynchronous Communications
- 03 - Asynchronous communications
- 04 - The gains
- 05 - The trade-offs
- 06 - Common technologies
2. Interservice Communications Patterns
- 07 - Service communications
- 08 - Point-to-point async
- 09 - Publish-subscribe
3. Event-Driven Microservices Patterns
- 10 - Event-driven microservices
- 11 - Choreographed events
- 12 - Orchestrated events
- 13 - Hybrid events
4. Stream Data Platform
- 14 - Welcome to stream data platform
- 15 - Log aggregation
- 16 - System analytics
- 17 - Event detection
5. Data
- 18 - Distributed data
- 19 - Eventual consistency
- 20 - CQRS
- 21 - Data migration
- 22 - Data synchronization
Conclusion
- 23 - Work with it
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- DevOps Foundations: Microservices (2019)
- Microservices Foundations (2018)
- Building High-Throughput Data Microservices
- Microservices: Design Patterns