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Proactive and Projected App-aware Scaling

Proactive and Projected App-aware Scaling

Using Hotspots and Forecasting to Affect Proactive and Projected Healing Enterprises need to stay a step ahead of the curve in terms of anticipating business needs and scaling pre-emptively to meet them. Anomalies due to high workloads, unexpected configuration...

Heal Action API

Heal Action API

Triggering diagnostic data collection and healing actions via Heal’s Action API Enterprises always must be ready to expect the unexpected. The world today is poised at the cusp of a significant change in the way people conduct business – with more people working...

Heal Data Architecture

Heal Data Architecture

Using the Lambda and Kappa data flows in our Machine Learning Quick Recap on MLE Heal’s Machine Learning Engine (MLE) is the heart of the self-healing capabilities of our product. Its main capability is our patented technique for workload-behavior correlation, which...

Proactive Self-Healing

Proactive Self-Healing

How Heal Uses Early Warning Signals to Eliminate Future Incidents With self-healing, Heal’s mission and vision have always been to avert any untoward incidents in your enterprise; “Break and Fix” to “Predict and Prevent” is our focus. To do this, we rely on what we...

Break and Fix vs Predict and Prevent

Break and Fix vs Predict and Prevent

Recently there has been a paradigm shift in IT operations and the diagnosis of application health. Up until now, IT operations have focused on quickly detecting and fixing problems as they arise. However, in the last few years a new model has emerged; one of...