  Serial-parallel redundancy is a reliable way to ensure service and systems
will be available in cloud computing. That method involves making copies of the
same system or program, with only one remaining active. When an error occurs,
the inactive copy can step in as a backup right away, this provides continuous
performance and uninterrupted operation. This approach is called parallel
redundancy, otherwise known as active-active redundancy, and its exceptional
when it comes to strategy. It creates duplicates of a system or service that
are all running at once. By doing this fault tolerance increases since if one
copy fails, the workload can be distributed across any replica thats
functioning properly. Reliability allocation depends on features in a system
and the availability and fault tolerance you want from it. Serial redundancy or
parallel redundancies can be applied to increase the dependability of systems
and services. To demonstrate how well this concept works, we looked into fixed
serial parallel reliability redundancy allocation issues followed by using an
innovative hybrid optimization technique to find the best possible allocation
for peak dependability. We then measured our findings against other research.
