filmov
tv
Using OpenTSDB to Monitor Time Series Data on Cloud Platform
Показать описание
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.
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.
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.
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.