Debunking observability myths – Part 5: You can create an observable system without observability-driven automation
IBM Big Data Hub
SEPTEMBER 12, 2023
Automation streamlines the root-cause analysis process with machine learning algorithms, anomaly detection techniques and predictive analytics, and it helps identify patterns and anomalies that human operators might miss. Cost-effectiveness: Manual observation may require dedicated personnel, leading to increased labor costs.
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