Application Data Management Implementation Phases

We already discuss about what is Application Data Management (ADM). So in this post we are going to talk over about the Application Data Management Implementation Phases. There are 3 phases in the implementation of ADM; Analysis and Planning, Implementation and Automation, last but not least review and refinement.

The first phase is analysis and planning. The objective of this is phase is to learn the ongoing state of your application status using Application Resource Management (ARM) technologies. The initial step is to observe current information distribution and examine down information development by application, application module, storage class and also IT or business function. Storage requirements and evaluate performance impact of continued information development can be forecast by ARM.

Next, inspect the business, application and legitimate requirements for various business transactions. These requirements help decide information maintenance approaches – when transactions become qualified for web based archiving, either the live archive or encapsulated archive. For the improvement and test environment, figure out which transactions are vital for particular development and test purposes by making subsetting criteria.

Additionally basic right now to set up service level agreements (SLAs) for client society for access to active and inactive transactions. These SLAs are reaction time driven and will direct the proper storage class for online archives. For instance, the online archive can dwell on an undertaking class storage system, redeployed because of better capacity usage or on a more practical ATA system.

The second phase is the implementation and automation. This phase implements data retention, archiving and subsetting plan of action that described in earlier phase. The system setup, implementation of the data retention policies and subsetting criteria and user validation are the objectives for this second phase. Using a combination of ARM, database archiving and database subsetting technologies user can apply the data retention guideline as well as make the subsets of the production setting for progress and examining. By using SLAs as a guides, it can assure users get the access to both active and active transaction through the same application interface.

For the third and final phase is review and refinement. The objective of this stage is to check the adequacy of user approval, execution and budget achievement. Inspect storage utilization in the production and improvement and test conditions and execution levels. ARM tools with guideline preview the capacities that allow examination by demonstrating more. Refine the data retention guideline and subsetting criteria as needs. Decide the next round of use modules or applications to apply ADM.

E-SPIN demonstration how to use application performance monitoring (APM) to provide application performance status and visibility insight, with one of the application product E-SPIN is carried in below. In typical enterprise scenario, enterprise application can be as complex as multi tier deployment enterprise application, whereby web server, application server and database server can spread across multiple different system for high performing, cluster and high load balancing for mission critical operation. Of course, it can be all in one box scenario as well. Whatever the scenario and context, E-SPIN able to help create customized enterprise application profile with application makeup component that really matters to create application performance monitoring (APM) dashboard to provide all application stakeholder real time visibility for what is going on, so application stakeholders can make the real time decision what to do, by improving on the respective component such as increase more application memory, cpu, hard disk speed, database or web server, link bandwidth etc.

At high level, it needs to provide real time status for application status summary, how many percentage of the said application is up, warning and downtime status. Let you know as well what key component is make the said status, for instance, Hyper V server , IIS web server etc.

At operation level, it able to provide real time graph, said hourly application availability chart for easy to understand status, whether it unknown (need to investigate), down, maintenance, warning, up and real time graphing for the SLA to have quick and comprehensive understanding of the status, so the application stakeholders can take further action.

Another screenshot for how E-SPIN carried APM may help to improve your ADM handling and operation requirements.

Feel free to contact E-SPIN for your ADM specific operation or project requirement, for instance, provide application performance status and visibility insight, to get detailed understanding for what infrastructure, system and application component downtime, early warning and have a critical impact on your application service level agreement (SLA), and use it as a way for managing to improve your ADM for business and operational decision making and as a means to optimize ADM. Same as well for performing application security testing (AST) – dynamic, static and software composition analysis, from both the client, server and backend database for vulnerability, security audit to make sure they are in compliance with the latest regulatory compliance requirements.