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Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

1 ora 15 minuti 7 crediti

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 using OpenTSDB running on Google Kubernetes Engine and 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.

Crea un account Qwiklabs per leggere il resto del lab e tanto altro ancora.

  • Acquisisci accesso temporaneo a Google Cloud Console.
  • Oltre 200 lab dal livello iniziale a quelli più avanzati.
  • Corsi brevi per apprendere secondo i tuoi ritmi.
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