Anomify adds an additional dimension to your monitoring/observability set up. Where generally you have rules and thresholds set on things, Anomify monitors all your metrics in the background, keeping an eye on everything.
Rules, thresholds and SLO (Service Level Objective) calculations do not necessarily aid in pinpointing what changed and where – in fact they exclude most metrics. Anomify monitors all metrics and identifies and records abnormal changes, giving you deep insights into your systems and applications when you need it.
Users in your organisation can train Anomifyto recognise expected patterns, just as they would. This reduces false positive anomalies.
Most anomaly detection platforms use unsupervised learning, which creates a disconnect between the user and the model which makes the anomaly assessment. Anomify’s transparent supervision provides a human explanation for the predictions it makes. Predictions can be amended to fit with your mental model of how the system should behave under normal conditions.