With ever-increasing complexity in distributed systems and growing cloud-native solutions, monitoring and observability become a very important aspect in understanding how the systems are behaving. There is a need for scalable tools that can collect data from all the services and provide the engineers with a unified view of performance, errors, logs, and availability of components. These tools also need to be cost-effective and performant.

In this article, we will go through two popular stacks – EFK (Elasticsearch) and PLG (Loki) and understand their architecture and differences.

#kubernetes #devops #cloud

Logging in Kubernetes: EFK vs PLG Stack
20.70 GEEK