Disaster Recover Planning

Disaster Recovery (DR) or Business Continuity Planning (BCP) is the process of developing advance arrangements and procedures that enable an organisation to respond to a disaster by resuming critical business functions within a defined time frame, minimising loss and restoring affected areas.

Managing change, balancing cost and availability and categorising data based on its criticality are some of the chief concerns facing enterprises during the implementation of a DR process.

The full business value proposition for any IT initiative, has to satisfy three basic requirements:

Cost Savings: the initiative must save the company money.
Risk Reduction: the initiative must reduce risk, whether conceived as investment protection or downtime reduction.
Process Improvement: the initiative must improve business processes in some recognizable way.

Time-to-data - how fast you can restore access to mission critical data, is the ultimate metric for evaluating the efficacy of any recovery strategy. This is also reffered to as RPO and RTO objectives.

Recovery Time Objective (RTO) - is the elapsed time from service interruption until service is restored.
Recovery Point Objective (RPO) - is the point of time represented by the data upon service resumption.

In all of these endeavors - infrastructure design and service provisioning - you start by analyzing the business processes and classifying the data. Business process analysis and data classification are data management processes, and they are the same processes whether you are building right-sized infrastructure, identifying appropriate security controls, developing compliant retention and deletion policies or developing a strategic disaster recovery capability.

Druvaa solution helps business with the following:

Cost savings: By understanding and classifying data, you can design infrastructure that delivers exactly what business processes and their applications need to optimize efficiency; no more one-size-fits-most infrastructure that doesn't fit anyone's needs very well. If you can segregate only the data needed for recovery from the totality of data in your environment, you can breathe new life into backup schemes and extend the runway of your tape backup solution, deferring costly upgrades.
Risk reduction: Good data management will help you optimize capacity and more efficiently allocate provisioning and protective services. This translates into greater manageability and control and offsets the risk of preventable disasters. Furthermore, effective data classification will enable you to expedite data restore following an interruption, putting the business back on a paying basis a lot sooner.
Process improvement: The information gleaned from data management will enable you to construct business models from a data-centric point of view. A little extra work can equip this model with hardware, software and administrative cost data. That way, when the Front Office calls you and asks you to estimate the IT support costs for a new line of business they are considering, you can use your current costs as a baseline model and give them an answer.

Disaster Recovery Planning