Log aggregation and its uses
Log aggregation is the concept of capturing and consolidating logs from different sources into a centralized platform. This comes in handy in a distributed system where logs are generated from several sources, and we need a comprehensive view of all the messages and need to correlate and analyze the logs efficiently.
This log aggregation acts as a single source of truth when we need to troubleshoot application performance and errors or identify bottlenecks and points of failure or vulnerability. Several platforms allow us to aggregate our logs and they range from free to paid to cloud-hosted solutions. Some popular ones are Azure Application Insights, Seq, DataDog, and ELK (Elasticsearch, Logstash, and Kibana), to name a few. In selecting a platform, we must consider the following:
- Efficiency: We all love and want efficient systems. The platform that we choose needs to feed into this narrative and make it as easy as possible to integrate logging...
