In this article you'll find out how Aggregate Logs with Elasticsearch, Kibana, Logstash & Docker. ELK stack comprises of Elasticsearch,Logstash, and Kibana tools. Elasticsearch is a highly scalable open-source full-text search and analytics engine.
“Is that it?”
“No. That’s a wall.”
“It could be disguised.”
“You’re not very good at looking for things, are you?”
“I’m good at looking for walls. Look, I found another one.”
_― Derek Landy, _**Kingdom of the Wicked**
When a system was monolithic we had access to the full execution stack trace. However, in Microservices architecture, any single operation in any service can trigger a chain of downstream microservice calls, as all are isolated among themselves which leads to a challenging task to debug an actual flow.
And let’s be honest, we all hate those “
something went wrong” or “
unknown” system errors.
Well, this situation can be smoothly handled if we externalize and centralize the storage of our logs. Which I believe will increase our chances of tracking down and fixing issues.
Complete project can be found here :
Logs as Streams of events
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