Using OpenTSDB to Monitor Time-Series Data on Cloud Platform
GSP142
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:
Objectives
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Create a new Bigtable instance.
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Create a new Kubernetes Engine cluster.
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Deploy OpenTSDB to your Kubernetes Engine cluster.
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Send time-series metrics to OpenTSDB.
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Visualize metrics using OpenTSDB and Grafana.
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