GlassHouse Technologies Blog

A simple cost model can be developed using a spreadsheet tool. A pre requisite to building the cost model is an awareness of what hardware and software is in place and how this hardware and software has been allocated to each of the disaster recovery service offerings. This was discussed in our previous blog on [...]

Business units are accustomed to making decisions based on cost/benefit and risk/reward assessments. Their choice of the appropriate investment in Disaster Recovery protection should be made in a similar manner. Visibility to the cost of each DR service offering allows the business units to make a rational choice of their investment in recovery protection based [...]

 
Recovery Service Objectives (RSO) are the publicly visible service commitments that dictate the infrastructure needed to deliver the DR Service Offerings.
The next service objective is the RPV (Recovery Production Volume). The relative volume capability projected following a disaster event. Many organizations do not address this critical component of recovery. How much data will be processed [...]

Developing Recovery Service Objectives
Recovery Service Objectives (RSO) are the publicly visible service commitments that dictate the infrastructure needed to deliver the DR Service Offerings.
In previous blogs we covered the empirically based Business Impact Analysis or BIA. The BIA process provides us with the tangible cost to the organization should a business unit be unable to [...]

There are many platforms and requirement metrics to consider when developing a Disaster Recovery (DR) plan and the infrastructure design to support it. The recovery of the compute platform and to what level of performance is usually pushed toward the end because of the metrics involved. A metric that is routinely examined, but is difficult [...]

Applications and the information they hold are increasingly the lifeblood of many organisations. In my experience, many businesses which have encountered major loss of data are never able to reopen; some attempt to but do not succeed and only a handful survive. This just goes to show the long-term importance of a business aligned [...]

Disaster recovery (DR) is, by its very nature, difficult to plan for. But we’re all well aware of the problems associated with insufficient DR processes, policies and procedures. If a business’ IT infrastructure cannot recover from a ‘disaster’ quickly the implications can be extremely costly.
Recovery Time Objective (RTO) and Recovery Point Objective (RPO) are [...]

continued from part 1

Build an excel table and enter each of the business units along with the revenue and contribution (ie the contribution to the organization’s bottom line). Enter projected revenue and contribution as well. Now you have an empirical basis for ranking business units based on their revenue and/or contribution to the organization. BIA [...]

In previous blogs we covered the identification of policies and assumptions as DR planning foundations. The third foundation for effective DR planning is the empirically based Business Impact Analysis or BIA. The BIA refers to a process that determines the tangible cost to the organization should a business unit be unable to operate. This assessment [...]

Taking the time to identify and publish the many assumptions on which your DR plan is based is not only a key component for plan developers and stakeholders, but is also critical to your ability to survive the post disaster review.
Assumptions are the tactical policies of the DR Plan. These policies can have a critical [...]