Elastic Search

Elastic Search

Configuring fluentd on kubernetes with AWS Elasticsearch

In a previous blog we discussed the configuration and use of fluentbit with AWS elasticsearch. https://medium.com/@bahubalishetti/configuring-fluentbit-on-kubernetes-for-aws-elasticsearch-bec486bcc727 It helped provide a basic configuration of “logging” from a Kubernetes cluster. “Logging” is one aspect of “Observability” in Kubernetes. Lets review: Observability for the cluster and the application covers three areas: Monitoring metrics — Pulling metrics from the cluster, through cAdvisor, metrics server, and/or prometheus, along with application data which can be aggregated across clusters in Wavefront by VMware.

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Elastic Search

Configuring Fluentbit on Kubernetes for AWS Elasticsearch

As noted in one of my earlier blogs, one of the key issues with managing Kubernetes is observability. Observability is the ability to gain insight into multiple data points/sets from the Kubernetes cluster and analyze this data in resolving issues. As review, observability for the cluster and application covers three areas: Monitoring metrics — Pulling metrics from the cluster, through cAdvisor, metrics server, and/or prometheus, along with application data which can be aggregated across clusters in Wavefront by VMware.

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