There are several disaster mitigation strategies that IT departments may choose to adopt:
- Disaster planning. Disciplined organizations will plan for operational disasters. Potential disasters include servers going down, network connectivity going down, power outages, failed solution deployments, failed infrastructure deployments, natural disasters such as fires and floods, terrorist attacks, and many more. This planning will include identification of potential problems, identification of strategies to address those problems, and putting mechanisms in place to hopefully mitigate the disasters. Potential strategies to address these disasters include building solutions that self-test and self-recover, building redundancies into your operational infrastructure, having disaster procedures in place, and practicing those procedures in simulated disasters.
- Scheduled disaster simulation. It is one thing to have disaster mitigations plans in place, it is another to know whether they actually work. Disciplined organizations will run through disaster scenarios to verify how well their mitigation strategies work in practice. For example, to test whether your power outage emergency plan works you would purposely simulate a power outage at one of your data centers and then work through your recovery plan. Like fire drills, these simulations should be done on a regular basis so that staff members build up the “body memory” required to act swiftly and appropriately in an emergency. The advantage of a scheduled disaster simulation is that you knowingly run it at a time where you will have minimal impact on your stakeholders. A disadvantage, at least when people are informed of the simulation ahead of time, is that people are mentally prepared for the simulation and aren’t caught unaware and thereby you don’t simulate the real level of stress that people would be under during an actual emergency.
- Random disaster simulation. Very disciplined organizations will implement a service within their operational environment that causes problems such as server or service outages at random times. An example of this is the Chaos Monkey functionality in Amazon’s Web Services (AWS) offering, functionality that is being implemented within many organizations now. The Chaos Monkey injects random problems into production to verify that the IT operations organization is capable of overcoming them. This is done to verify that your solutions really are able to automatically recover from problems and failing that at least operators are alerted to the problem.
As you would expect, truly disciplined organizations have adopted all of these strategies.
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