Application Performance
The Situation

Enterprise applications are the back-bone of every business. These mission critical systems are responsable for processing and storing all the transactions and history of an organization. When application performance bottlenecks and availability concerns happen, the entire business is impacted.

Data growth has been identified as a root cause to many if not most application performance and availability challenges. Over time transactions age and become inactive. Experts agree that as much as 80% of data in a typical production portfolio may be inactive, thus hindering application performance, causing outages and increasing IT costs.

With each new transaction the inactive data grows putting more pressure on application performance and availability. Operations and compliance concerns arise as well as batch jobs, data replication and disaster recovery all run slower making online users wait longer. Extended outages must also be planned to convert legacy data to the new release during upgrade cycles.

The Solution — Solix EDMS Database Archiving

Solix EDMS Database Archiving moves less frequently accessed data out of production databases and into nearline archive based on an Information Lifecycle Management (ILM) framework. Data retention policies are employed to manage the archive process and users always maintain access to archived data. Data may be classified by business value, legal hold and regulatory requirement for compliance. The result is improved application performance and availability because production database sizes are reduced.

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Datasheet

Solix EDMS Database Archiving is a key module in the Solix Enterprise Data Management Suite (EDMS)….

Success Story

Check how an international tire and wheel distributor addressed the increasing data growth challenge…

 

Success Story

Ping An insurance company of china found the solution to its problems in the Solix Enterprise Data Management Suite toolset….

On-Demand Webinar

Learn how MasterCard Tamed the Data Growth Beast through Database Archiving