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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 hora 15 minutos 7 créditos

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.

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