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
-
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.
加入 Qwiklabs 即可阅读本实验的剩余内容…以及更多精彩内容!
- 获取对“Google Cloud Console”的临时访问权限。
- 200 多项实验,从入门级实验到高级实验,应有尽有。
- 内容短小精悍,便于您按照自己的节奏进行学习。