Efficient Monitoring of Time Series Data Using Dynamic Alerting

Girish L.*, Deepthi T. K.**
*Assistant Professor, Department of Computer Science and Engineering, Channabasaveshwara Institute of Technology, Gubbi, Karnataka, India.
**PG Student, Department of Computer Science and Engineering, Channabasaveshwara Institute of Technology, Gubbi, Karnataka, India.
Periodicity:June - August'2018
DOI : https://doi.org/10.26634/jcom.6.2.14870

Abstract

Network and Cloud Data Centers generate a lot of data every second, this data can be collected as a time series data. A time series is a sequence taken at successive equally spaced points in time, that means at a particular time interval to a specific time, the values of specific data that was taken is known as a data of a time series. This time series data can be collected using system metrics like CPU, Memory, and Disk utilization. The TICK Stack is an acronym for a platform of open source tools built to make collection, storage, graphing, and alerting on time series data incredibly easy. As a data collector, the authors are using both Telegraf and Collectd, for storing and analyzing data and the time series database InfluxDB. For plotting and visualizing, they use Chronograf along with Grafana. Kapacitor is used for alert refinement and once system metrics usage exceeds the specified threshold, the alert is generated and sends it to the system admin.

Keywords

Time Series Data, Influxdb, Alerts, Thersholding

How to Cite this Article?

Girish, L., & Deepthi ,T. K.(2018). Efficient Monitoring Of Time Series Data Using Dynamic Alerting. i-manager’s Journal on Computer Science, 6(2), 1-6. https://doi.org/10.26634/jcom.6.2.14870

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