menu
arrow_back

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

1시간 15분 크레딧 7개

GSP142

Google Cloud Self-Paced Labs

Overview

In this lab you will learn how to collect, record, and monitor time-series data on Google Cloud Platform (GCP) using OpenTSDB running on Google Kubernetes Engine and Google Cloud Bigtable.

Time-series data is a highly valuable asset that you can use for several applications, including trending, monitoring, and machine learning. You can generate time-series data from server infrastructure, application code, and other sources. OpenTSDB can collect and retain large amounts of time-series data with a high degree of granularity.

In this hands-on lab you will create a scalable data collection layer using Kubernetes Engine and work with the collected data using Bigtable. The following diagram illustrates the high-level architecture of the solution: dd9bdac000ea968f.png

Objectives

  • Create a new Bigtable instance.

  • Create a new Kubernetes Engine cluster.

  • Deploy OpenTSDB to your Kubernetes Engine cluster.

  • Send time-series metrics to OpenTSDB.

  • Visualize metrics using OpenTSDB and Grafana.

이 실습의 나머지 부분과 기타 사항에 대해 알아보려면 Qwiklabs에 가입하세요.

  • Google Cloud Console에 대한 임시 액세스 권한을 얻습니다.
  • 초급부터 고급 수준까지 200여 개의 실습이 준비되어 있습니다.
  • 자신의 학습 속도에 맞춰 학습할 수 있도록 적은 분량으로 나누어져 있습니다.
이 실습을 시작하려면 가입하세요