7 - Monitoring Kubernetes with Elastic
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This document introduces using Elastic Stack to monitor Kubernetes clusters managed by Rancher. It discusses the challenges of monitoring dynamic container environments and how Elastic Stack provides solutions through Beats, Logstash, Elasticsearch, and Kibana. Specifically, it recommends deploying Filebeat and Metricbeat on Kubernetes clusters using Helm or YAML, with Elasticsearch and Kibana running outside the clusters. It also provides resources for integrating Elastic in Rancher and configuring Beats to ship logs and metrics to Elasticsearch.
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- 2. #whoami ●Wouter De Kimpe ●System Engineer @ Kangaroot ●linkedin.com/in/dekimpew
- 3. Introducing: Rancher ●Kubernetes the easy way ●Creating and managing multiple clusters ●Both on-prem and cloud clusters
- 5. Challenges of monitoring containers ●Containers come and go: cattle Vs. pets ●Dynamic environment ●Many different endpoints to monitor
- 6. Introducing: Elastic Stack ●A stack … For search! ●Not only for aggregating logs or searching data ●Consists of: – Beats: Lightweight shippers – Logstash: Transforming data – Elasticsearch: Scale out database – Kibana: WebUI for visualizations
- 8. The Infrastrucure view ●New addition to Kibana ●Tailored towards monitoring infrastructure ●Logs and metrics within reach in one view ●Dynamic add/remove of k8s workloads
- 10. Integrating Elastic in Rancher ●Filebeat and Metricbeat on the k8s clusters – Can be deployed with helm or the elastic yml – Deployed as a daemonset on all nodes ●Elasticsearch and Kibana outside the cluster
- 11. Yaml to the beat ●Some minor changes and considerations are required to get metrics and logs in Elasticsearch. ●By default deployed to kube-system ●Metricbeat requires kube-state-metrics to be installed ●Logs to filebeat-%{date} and metricbeat-%{date} by default
- 13. Demo time!
- 14. Thank you!