Alerting and Anomaly Detection
Alerting and anomaly detection tools are crucial for proactive decision-making across various domains, from IT operations to business intelligence. In this chapter, we will explore the strategies, techniques, and tools needed to set up effective alerts and detect anomalies in your data. This chapter aims to equip you with the knowledge and skills necessary for the early detection of anomalies, enabling timely responses in your data-driven environment.
In this chapter, we’re going to cover the following main topics:
- Creating alerts in Kibana
- Monitoring alert rules
- Investigating data with log rate analysis
- Investigating data with log pattern analysis
- Investigating data with change point detection
- Detecting anomalies in your data with unsupervised machine learning jobs
- Creating anomaly detection jobs from a Lens visualization
