Observability

Provides various use cases for building a cloud-based logging and monitoring environment.
Detailed service-specific documentation used in the tutorial can be found in the Service category.

Tutorials

📄️ Monitoring Hadoop Cluster with Monitoring Flow

Monitoring the Hadoop cluster using Monitoring Flow.

📄️ Automating Hadoop Cluster Auto-Scaling with Monitoring Flow

Automate the auto-scaling of Hadoop clusters using Monitoring Flow.

📄️ API Server Monitoring with Monitoring Flow

Monitor API server instances using Monitoring Flow.

📄️ Set up Kubernetes Engine cluster monitoring

Guide to setting up a workload monitoring environment for a Kubernetes cluster created with Kubernetes Engine.

📄️ BCS instance monitoring

Introduces how to monitor computing resources of VMs within a project.

📄️ Setting up Real-Time Alerts with Alert Center

Use Alert Center to receive notifications when events or resource issues occur in KakaoCloud services.

📄️ Integrating Zabbix and Prometheus for Zabbix dashboard setup

Set up a Zabbix dashboard using KakaoCloud's Monitoring Metric Export endpoint.

📄️ Set up NVIDIA GPU monitoring environment in K8S cluster

Describes how to set up an NVIDIA GPU monitoring environment in a Kubernetes cluster.

📄️ Utilize Grafana dashboard templates in KakaoCloud

An example of configuring dashboards using Grafana dashboard templates provided by KakaoCloud.

📄️ Ingesting Cloud Trail logs into Splunk Enterprise

This guide explains how to collect and analyze Cloud Trail logs stored in Object Storage using Splunk Enterprise.

📄️ Prometheus를 활용한 Kafka 컨슈머 Lag 모니터링

Kafka 환경에서 컨슈머의 메시지 처리 지연(Lag)을 Prometheus와 Exporter를 활용해 모니터링하고, 임계치를 초과할 경우 Alert를 발송하는 방법을 단계별로 안내합니다.