Evolved AMS for the New Digital Age – Part 3

In our previous article we talked about EDA business scenario – Master Data Maintenance. EDA also provides technical assistance to an enterprise especially for Monitoring capabilities. In this article let’s discuss on one of the technical assistant scenario – Self-Healing. 

Modern-day IT systems are somewhat similar to human body in terms of complexity and the need for zero downtime. They comprise multiple systems and interconnections, all of which need to be available 24*7 for seamless operations. Without a self-healing mechanism in place, enterprises are bound to face system downtime. Mission-critical applications might malfunction or fail to run entirely. This leads to hampered productivity, heavy data losses and lost business opportunity. Recovering from a major system failure can also cost a lot of money, sometimes exceeding the cost of the system itself.

EDA acting as self-healing monitoring agent can proactively monitor and identify a potential variance from its standard parameters, validate it with a degree of confidence and resume normal operations without human intervention.

The following diagram gives a visual representation of EDA self-healing the system monitoring:

Additionally EDA’s can be configured for preventive or reactive or predictive self-healing:

In our next part we will be talking on different ways to implement EDA, the levers or tracks involved in EDA implementation. Stay tuned! Soon the article will be update with part 4 link.