Site Resilience
Site Resilience
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Site resilience is the capacity of location which is made up of a computer server, storage system and network to quickly and instantly continue to operate after there an equipment failure has occurred possibly as a result of power disruption (Gertï et al, 2011). Proper architecture is essential in ensuring that the site is resilient and can resist and contain a disaster. Proper architectural design is critical in ensuring that the site remains operational even when a major disaster occurs (Wolter, 2012).
Site resilience is critical because in the event that there is a power disruption, the site has a well-designed power backup to ensure that the servers continue working even if there is a blackout. Back-up power supply ensures that no data is lost in the event of a disaster (Omer, 2013). To configure a resilient site, a programmed system recovery site, a messaging functional system needs to be interlinked for better functionality.
Cost of data recovery is avoided because in the event a data resilient center is in place, in the event of a natural catastrophe, the cost incurred is only for the repair of infrastructure but the data is stored safely. It is essential for the data centers to be fully independent and not share failure domains.
Exchange 2013 is a model that uses cluster continuous replication (CCR) to attain local mailbox resiliency inside the datacenter (Omer, 2013). Standby continuous replication (SCR) enhances site resilience by replicating log files to non-clustered and clustered SCR target server. The model works on the Microsoft corporation OS platform (Gertï et al, 2011). The model is designed to automatically recover from storage failures and allowing the system to independently recover from failures associated with redundancy.
The exchange 2013 model offers the system administrator the ability to counter intermittent failures. The model is designed with the best copy as well as server enhancements and an automated DAG network configuration (Wolter, 2012). Exchange 2013 has the ability to carry out multiple databases for every volume (Omer, 2013).
References
Gertï¸ s︡bakh, I. B., & Shpungin, Y. (2011). Network reliability and resilience. Heidelberg: Springer.
Omer, M. (2013). The resilience of networked infrastructure systems analysis and measurement. Singapore: World Scientific Pub. Co.
Wolter, K. (2012). Resilience assessment and evaluation of computing systems. Berlin: Springer.
