END Monitoring, kubernetes, microservices, MSA, kubernetes APM, , kubernetes Application performance, kubernetes tracing, Cluster, Pod, Event, Tracing, 4 in 1 Monitoring, end-to-end, observability, Cloud Native Monitoring, AIOps, Failure Prediction, Root Cause Analysis, RCA, Log Viewer, SaaS, Free, user monitoring, service monitoring, application monitoring

END Monitoring, kubernetes, microservices, MSA, kubernetes APM, , kubernetes Application performance, kubernetes tracing, Cluster, Pod, Event, Tracing, 4 in 1 Monitoring, end-to-end, observability, Cloud Native Monitoring, AIOps, Failure Prediction, Root Cause Analysis, RCA, Log Viewer, SaaS, Free, user monitoring, service monitoring, application monitoring

END Monitoring, kubernetes, microservices, MSA, kubernetes APM, , kubernetes Application performance, kubernetes tracing, Cluster, Pod, Event, Tracing, 4 in 1 Monitoring, end-to-end, observability, Cloud Native Monitoring, AIOps, Failure Prediction, Root Cause Analysis, RCA, Log Viewer, SaaS, Free, user monitoring, service monitoring, application monitoring

Open Source Kubernetes Monitoring
The following examples provide how to build Kubernetes monitoring environment using the combination of open source software: Metricbeat, Elasticsearch, and Grafana.
Monitoring Architecture
open source kubernetes monitoring architecture
What you need
  • Environment
    • Mac OS or Linux
  • Kubernetes
  • Download for simple Monitoring Infrastructure deployment settings within Kubernetes
    git clone https://github.com/jmsight/jmsight-kubernetes-example.git
Build Open Source Kubernetes Monitoring
1. Launch minikube Kubernetes Environment
  • start minikube
    minikube start --addons ingress -p oss-kubernetes-monitoring
  • Create Namespace
    kubectl apply -f jmsight-kubernetes-example/oss-kubernetes-monitoring/env
2. Deploy Sample Service
3. Deploy Metric Datastore
  • Deploy Elasticsearch (OSS ver) Single Node
    kubectl apply -k jmsight-kubernetes-example/oss-kubernetes-monitoring/elasticsearch7-oss
4. Deploy Metric Collection Agent
5. Build Dashboard Environment
    6. Alert Settings
    Others
    Kubernetes-based services using Microservices Architecture require monitoring from a variety of perspectives. To gain observability, you need each data of your IT services, consisting of User, Service, Application, and Infrastructure.
    • User Monitoring
      • Purpose: Identify the Service user status and whether each environment has problems with the user’s experience
      • Data: User status, Location, Client
      • Building method examples
        • Google Analytics: Free with adding code in the client
          • * The primary purpose is identifying users as a marketing tool, not real-time monitoring.
    • Service Monitoring
    • Application Monitoring
      • Purpose: Identify the status and problems of the Applications configuring the Service.
      • Data: Application Status, Application Errors, Application Logs
      • Building method examples
    How EM8g Can Help
    EM8g offers 4 in 1 monitoring, As an alternative to Prometheus, Grafana, and Elasticsearch.
    • User, Service, Application, and Kubernetes monitoring all included.
    • Easy and simple installation with just one-line command.
    • Engineering teams are able to use full stack monitoring alongside AIOps technology.

    EM8g offers a free plan (currently in promotion) which can be found here.