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Rule of Nine: Why 99.999% Availability in a World of Continuous Availability
Every business strives for excellence when it comes to application availability, but few achieve it.
Most availability solutions offer 99% - which might sound
good for most organizations until you realize that 99% means 87.6 hours of
unplanned downtime per year. Rendering to research by the Aberdeen Group, the
average cost of downtime due to data loss for enterprises can be as high as $
163,000 per hour. So, the rule of nine: For every nine that an IT team can
achieve by increasing its availability, the more it can reduce downtime and
improve system profitability. Let's take a look at how each additional “9” is
achieved today and how it affects business performance.
99.9% is good business practice
There are many availability solutions that provide average
results - for example, an x86 server can expect 99% availability if that's all
your business needs. But with today's solutions, 99.9% availability is quite
achievable. Affordable servers more influential than the average x86 server can
be combined with redundant power supplies, fans, RAID, and of course, best
business practices to maintain and protect your system.
Result?
99.9% means approximately 8.76 hours of unplanned downtime
per year. That's a big improvement from nearly 90 hours of downtime by 99
percent, but for many companies, the lost productivity of one day per year is
still too big for their bottom line.
99.99% high availability
The key to reaching the next “9” for 99.99% is cluster
technology. Clusters, often referred to as high availability solutions, are
essentially two or more physical servers connected on the same network. If one
server fails, application support continues on the second server.
Clusters can have 99.99% to 99.99% availability, depending
on the quality of the cluster and how quickly failover can be achieved. Some
clustered applications, such as databases, cannot fail over quickly enough
because they have to check file integrity and replay transaction logs after a
failure, which delays application startup.
Fault tolerance ensures 99.999% availability
Now imagine that your company was able to add the most
elusive number "9" to achieve 99.999% availability. What is needed
for this? Fault-tolerant systems today deliver the Holy Grail of availability
by addressing failures and continuing to function without disrupting
applications, preventing any downtime due to system failure.
Resilient hardware solutions deliver 99.999% or better
availability, which means less than five minutes of unplanned downtime per
year. Software Fault Tolerance delivers similar results when using standard
servers running in parallel, allowing one application to run on two virtual
machines (VMs) at the same time. If one virtual machine crashes, the
application will continue to run on the other virtual machine without any
interruptions or data loss. Thus, virtualization offers the fifth 9.
However, not all fault-tolerant solutions are the same. Some
emulate fault tolerance, but end up creating a lot of overhead that degrades
performance. You need true fault tolerance to avoid performance issues and meet
all your application requirements.
For nearly sixty years, Kaye Instruments has been at the
forefront of high-precision process measurement in the biopharmaceutical
industry, and its equipment has become the standard in high-precision
measurement systems.
In pharmaceutical production, products are usually produced
in very large batches, but in high volume production it is impossible to verify
the quality of each abomination. That is why in the modern pharmaceutical
world, quality must be taken into account directly in the design of the production
process. If the builder does not have data to support continuous product
monitoring, the product cannot be released.
Consequently, any downtime in these processes results in
loss of income. This critical value for uptime and data integrity has led Kaye
to trust Stratus as an integral part of their solutions. To learn more about
how Kaye Instruments works with Stratus, watch the video below:
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