Centralize Your Monitoring with a Time Series Database
Session Date: Mar 12, 2020
Time: 11:00am (PT) | 6:00pm (GMT)
Metrics as a Service combines centralization resource efficiency and maximum value extraction from data, but also and most importantly, it lowers the barrier to start using time series data to drive more accurate planning and decision making. In traditional approaches to monitoring metrics collection, much effort and overhead is placed into setting up and running the monitoring solution, with limited value extracted from the data collected. With a service model approach, we invert the pyramid, facilitating teams to adopt data processing frameworks to extract more and valuable information quickly and at minimal incremental cost.
In this webinar, Daniella Pontes of InfluxData will discuss how you can use a time series database for centralized ingestion, analysis, visualization, and storage of all monitoring and metadata.
Learn how to:
- Enable your teams to access time series data from your infrastructure, container and orchestration monitoring (including Docker, Kubernetes, and Jenkins)
- Create real-time stream processing for effective alerting, optimizations at ingest as well as anomaly detection when integrated with Machine Learning frameworks
- How to use a time series database for automation of data lifecycle management with retention policies, automated rollups, and eviction
