GCloud GKE Metrics

Ship GCloud Google Kubernetes Engine (GKE) Metrics using VictoriaMetrics vmagent

Vmagent is a tiny but mighty agent which helps you collect metrics from various sources and store them in VictoriaMetrics.

Install Integration

Please click on the Install Integration button to configure your stack for this source.

Prerequisites

This guide assumes you already have a GKE cluster created with Google Cloud SDK (opens in a new tab) and kubectl (opens in a new tab) installed.

Verify your version of Helm

Use the Helm version command to verify your version of Helm

helm version

Add VictoriaMetrics Helm Chart

Run the following to add the Victoria Metrics Helm chart.

helm repo add vm https://victoriametrics.github.io/helm-charts/

Export default configuration yaml

Export the default configuration to a yaml file so that we can make an edit.

helm show values vm/victoria-metrics-agent >> vmagent-kubernetes.yml

Add remoteWriteUrls

Open the exported configuration in a text editor to add in the remoteWriteUrls.

You will need to edit Line 65 of the vmagent-kubernetes.yml

From:

# WARN: need to specify at least one remote write url or one multi tenant url
remoteWriteUrls: []
# remoteWriteUrls:
#   - http://vm-insert:8480/insert/0/prometheus
#   - http://prometheus:8480/insert/0/prometheus

To:

# WARN: need to specify at least one remote write url or one multi tenant url
remoteWriteUrls: ["https://{{metricsUsername}}:{{metricsPassword}}@{{metrics_id}}-vm.logit.io:{{vmAgentPort}}/api/v1/write"]
# remoteWriteUrls:
#   - http://vm-insert:8480/insert/0/prometheus
#   - http://prometheus:8480/insert/0/prometheus

install Helm chart

You are now ready to install the helm chart.

helm --namespace=victoriametrics install vmagent vm/victoria-metrics-agent --create-namespace -f vmagent-kubernetes.yml

GKE Metrics Overview

Google Cloud's Google Kubernetes Engine (GKE) is a robust and scalable platform that empowers organizations to manage containerized applications using Kubernetes, an open-source container orchestration system. GKE seamlessly automates the deployment, scaling, and operations of application containers across clusters of hosts, providing high availability and reducing the need for manual tasks.

GKE Metrics provide critical insights into the health, performance, and availability of applications and infrastructure. These metrics help monitor resource usage, optimize costs, and improve security, ensuring that your environments are efficient and secure.

As a centralized platform, GKE also supports integration with Logit.io, enhancing your capabilities to monitor, analyze, and visualize Kubernetes metrics. Our platform simplifies the aggregation of these metrics, offering advanced analytics tools to help you make data-driven decisions quickly and efficiently.

Effortlessly transmitting your GCloud Google Kubernetes Engine (GKE) Metrics data to Logit.io is a critical step in achieving comprehensive monitoring and performance optimization for your Kubernetes clusters. With Logit.io, you can coordinate, centralize and analyze your GKE Metrics, allowing for real-time insights into resource utilization, cluster performance, and application behaviour. Logit.io's GCP logging (opens in a new tab) supports a large backbone of Google metrics and log integrations for top performance.

Google Cloud Google AI Platform Metrics via Telegraf