Key Characteristics
One of the great challenges of monitoring solutions is the ability to be constantly technically enhanced in synchronism with the evolution of the object that they intend to monitor.
Event Analytics for Adabas guarantees seamless compatibility with new upcoming Adabas versions, thus ensuring the transparent evolution of the components and the preservation of the customer's investment.
Another important requirement is to quantify how invasive the solution is to the customer production environment. The less invasive it is, the simpler and more transparent its implementation will be in the environment.
In this context, Event Analytics for Adabas has unique features offering:
Centralized information collection for multiple DBIDs;
Parallel support and Adabas Cluster Services;
Scalability;
Simplified configuration;
Reduced overhead through the use of Review "Hub" mode;
Customization of "Command Logging";
Collection of historical data;
Collection of "reporting" information from clients;
Collection of data from any application (Natural, Cobol, Assembler ...) accessing Adabas;
Collection of data from online or batch sources;
A pre-defined set of reports;
An interactive interface;
A wide range of data types;
Definition of "user-fields";
Online viewing of summary reports;
Monitoring of event streams to detect and analyze complex patterns in real time;
Additional sources of information as input;
Immediate response to events and auditing trails through alerts;
Customized monitoring through panels;
Continuous analysis of data to optimize operations, mitigate risk and seize opportunities in real-time
Maximization of database performance with minimum resource usage
Identification of programs using excessive resources
Detection of security breaches on sensitive data
Proactive fraud identification
Audit trails relating events from multiple sources
Resolution of hot spots in complex environments to keep your business running
Transparency into geographically dispersed database operations
Connection to historical and current data for intelligent actions based on what has happened, what is happening and what is about to happen