Elastic
Elastic is the company behind Elasticsearch, Kibana, and Logstash. In the context of EDA, Elastic is the "Observability Layer." It ingests logs, metrics, and traces from your microservices and Kafka brokers, allowing you to search through petabytes of data to find the needle in the haystack.
Why use it in EDA? Debugging asynchronous systems is hard. You can't just step through code. Elastic allows a full text search on that order you're troubleshooting and will give you the exact timeline and where it might have gone wrong. It turns the chaos of distributed logs into searchable, visual insights.
How do we use it?
- Distributed Tracing: We search events across service and domains.
- Log Aggregation: Centralizing logs from all producers and consumers.
- Anomaly Detection: using ML to alert you when event throughput drops unexpectedly.



