In this case we need to run a sidecar container with the main application container so that it can write all the application logs into stdout/stderr. Case 2: All your application logs are not written in stdout/stderr In this case we are good and there is no need to run any extra container with your application container to write the logs into stdout/stderr. There can be two cases – Case 1: All your application logs are written in stdout/stderr We need to know what are the various log files that are generated by the application. This is the first step when we think about monitoring any application. Steps to implement Kubernetes monitoring using Elastic stackīelow is the step-by-step guide – Step 1: Understanding logging of your application In this article we will try to implement Kubernetes cluster monitoring using filebeat, metricbeat, heartbeat agents. And if you are using elastic agent then there is no need to use elastic beats (filebeat, metricbeat etc.). If you are using beats, then there is no need to use elastic agent. Elastic agent – This is a single agent which can replace all the beats which are mentioned above.Packetbeat – This is installed or deployed to fetch network packet related data.RUM agent – This is installed to fetch data related to real user experience and their interaction with the site.Heartbeat – This is installed or deployed to fetch the uptime related data.Metricbeat – This is installed on target machine server or deployed in Kubernetes cluster to fetch various types of metric sets.Filebeat – This is installed on target machine, server or deployed in Kubernetes cluster to fetch the logs.Beats – these are lightweight agents which are installed in the target machine.Based on your requirements you can create various types of pie-charts, bar graphs & many more. Kibana – It is one of the most popular visualization tools.Logstash has many input and output plugins which are used in the pipeline. Logstash – This is a pipeline tool where logs can be parsed and enriched.Elasticsearch – This is the centralized place where all kinds of logs, metrics and other data will be stored.Offering from ELK stack to monitor Kubernetes environmentĮlastic stack provides a great set of tools to achieve complete observability of your Kubernetes environment. Up & running Elasticsearch & Kibana where data will be visualized.Up & running Kubernetes cluster which you want to monitor.
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