Using OpenTSDB to Monitor Time-Series Data on Cloud Platform




Create Bigtable instance

Create Kubernetes Engine cluster

Create ConfigMap

Create OpenTSDB tables in Bigtable

Deploy OpenTSDB

Create OpenTSDB services

Create ClusterRoleBinding for heapster

Examining time-series data with OpenTSDB

Using OpenTSDB to Monitor Time-Series Data on Cloud Platform

1時間 15分 クレジット: 7


Google Cloud Self-Paced Labs


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


  • 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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