AIOps: Anomaly Detection with Prometheus and Istio
As IT operations become more agile and complex, at the same time the need to enhance operational efficiency and intelligence grows. Monitoring applications and kubernetes clusters with Prometheus has …
| Talk Title | AIOps: Anomaly Detection with Prometheus and Istio |
| Speakers | Marcel Hild (Engineering Manager, AI CoE, CTO Office, Red Hat) |
| Conference | KubeCon + CloudNativeCon |
| Conf Tag | |
| Location | Shanghai, China |
| Date | Jun 23-26, 2019 |
| URL | Talk Page |
| Slides | Talk Slides |
| Video | |
As IT operations become more agile and complex, at the same time the need to enhance operational efficiency and intelligence grows. Monitoring applications and kubernetes clusters with Prometheus has become quite common. Yet identifying relevant metrics and thresholds for your setup is getting harder. In this talk, Marcel will show the tooling used to collect and store metrics gathered by Prometheus for the long term. Then analyze those on a large scale for extracting trends and seasonality but also forecasting of expected values for a given metric. Finally, he will integrate the predicted metrics back into the Prometheus monitoring and alerting stack to enable dynamic thresholding and anomaly detection. All done with no more than OpenSource tooling and a fully working demo utilizing the instrumentation available in Istio.
