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A fault-tolerant strategy therefore requires a balance between the stability of its delivery processes and its ability to adapt to likely failure scenarios. Also, there’s a trade-off between the robustness of an organization’s production systems and maintaining the peace of mind that its customers get when they can connect to the system. To make this balance work, we must implement a policy that promotes fault tolerance within the context of a cost-effective solution.

All these questions must be answered when systems are developed. However, in the absence of a formal plan, they must be answered as part of monitoring systems as well. So both the PMs and the CTOs of the organization must be involved in the discussion of how to make the right trade-off.

Traditional fault-tolerant designs aim for both availability and integrity of individual applications. However, the advent of cloud computing required a change. As a result, modern fault-tolerant designs need to address availability and integrity across application boundaries. So layered, monolithic applications are now likely to require two sets of data islands over opposing datacenters—one set for availability and one for security.

In this regard, it is possible to have one application handled by one set of data islands to achieve availability and another by a second set to achieve security. However, most cloud-native applications live close to their customers, especially in the case of consumer-facing applications that give access to their customers’ sensitive data, so having them spread across two different data islands would be costly. In addition, this would complicate permission policies and limit the administration options.

To address these issues, the ideal fault-tolerant system is one that can convert any application into a cloud-native application, with access to the cloud-native data store and applications. This means that a highly-available application could be built without duplication, thus eliminating any duplication of efforts. d2c66b5586