In this video, learn about stream data platforms and some common use cases in microservices architectures.
- [Instructor] One of my favorite topics … The need for real data of system utilization is critical … to a well oiled machine and the stream data platform … can solve many of these cases. … So what is this stream data platform all about? … At its core it handles streams of data, … usually that data comes from structured log messages … that indicate every action, every event on the system. … The beauty of this model is that while it does increase … the need for disc space across the system, … Its activity is all handled asynchronously. … When you have hundreds of microservices at play … to capture, aggregate, analyze … and act on the data is critical. … This of course increases complexity of the system … but as you will see it's all done for very specific reasons. … A common architecture for a stream data platform … is actually quite straightforward. … Once again you start with our message broker. … Often you will choose a persistent message broker … for this model such as Apache Kafka …
AuthorFrank P Moley III
- 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
Skill Level Advanced
Software Architecture Foundationswith Allen Holub1h 36m Beginner
What you need to know1m 25s
1. Asynchronous Communications
2. Interservice Communications Patterns
3. Event-Driven Microservices Patterns
4. Stream Data Platform
Next steps2m 9s
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