The complete preventive healing IT solution for your enterprise.
Thanks to its unique cognitive capabilities, HEAL prevents IT system failures before they even happen, letting you focus your time and energy on other aspects of your business.
ABOUT HEAL
In a fast paced world where every second counts, it’s no longer good enough to detect and flag incidents after they have happened. A preventive healing solution that predicts and prevents rather than just fix what’s broken, HEAL is a new age IT tool that uses AI algorithms and machine learning models to help enterprises run without a hitch. Using a patented technique called ‘workload-behavior correlation’, HEAL analyzes all the aspects that go into the smooth running of an IT system (the cumulative volume, composition and payload), and reacts everytime an abnormal behavior occurs, triggering either a healing action or a scaling action depending on the root cause of the problem.
4 things that make “HEAL” work:
Predictive and Preventive
Collective Knowledge
Situational Awareness
Remedial and Autonomous
Predictive and Preventive
By using clustering and regression models, HEAL can predict any anomalies that might lead to outages in a system, making sure they are dealt with quickly before they even occur.
Collective Knowledge
On top of being a self-healing tool, HEAL is a full-stack infrastructure and Business Activity Monitoring solution that enables a 360 degree view of all the data relevant to flagging early warnings and any other issues that might occur in your enterprise.
Situational Awareness
After the initial Early Warning stage is completed, HEAL collects all contextual data at the time of the anomaly in order to present relevant root cause scenarios and make sure that its responses are always coherent and complete.
Remedial and Autonomous
The way that HEAL delivers the remedial actions depends strongly on the problem and the system. Whether it is done through scaling or remediation, both actions stem from our Machine Learning Engine that uses fully patented techniques to ensure it always delivers the best response.
How “HEAL” works:
it PREDICTS by:
Learning
HEAL continuously learns the workload and the underlying system behavior in real time.
Baselining
Creates a dynamic baseline of the normal system behavior, and workload behavior so there are no false alarms with HEAL.
Flagging
HEAL predicts in real time and accurately flags any unusual behaviors that might cause incidents in the future.
it DIAGNOSES by:
Detecting
HEAL traces across service layers and detects any anomalies in the transaction volumes & response times.
Gathering
It gathers any additional data that might help pinpoint the root cause of a problem.
Analyzing
Through augmented impact path analysis, HEAL suggests the root cause of an issue in real-time.
it PREVENTS by:
Forecasting
HEAL uses Application-Level Workload Simulation to forecast the system capacity.
Optimizing
Shapes & throttles workload on the fly to avert resource contention.
Rectifying
Automated healing actions are triggered to eliminate or prevent downtime.
With the help of our Machine Learning Engine, HEAL can establish a relationship between the workload and the behavior of the system in order to assure all possible problems are prevented.
