In this video, learn about log aggregations in microservices architectures and how to leverage a stream data platform.
- [Instructor] Log aggregation is one of those areas … in a stream data platform that we first visit. … When talking about log aggregation, … Most diagrams only focus on the log aggregation activities … of the message broker itself. … And indeed, it can aggregate logs from various systems, … usually, however, in a raw format. … Transformations, however, and not traditionally done … in the stream data platform itself. … It is usually preferred to keep all logs … so as to not lose context or metadata from the log itself. … Readability of log messages directly impacts … the utilization of them. … If logs are disjointed … and a human has to piece them together, … points will be lost. … The log aggregation that I'm mostly referring to … is in a consumption engine. … The log messages are transformed into a common format … and shipped to a system designed … to provide insight and readability into the log messages. … A tool like Elastic ELK stack is a great place … for the outcomes of these messages. …
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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