Is it possible to develop and spread software that never
faced any problems? Probably not. But it is possible to minimize the impact of
these problems by designing resilience in software with assistance testing
chaos or technical chaos.
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"The principles of Chaos Engineering" define
practice as "experimental discipline on distributed systems to build trust
in system capacity to withstand volatile conditions in production."
It involves the introduction of intentional failures into
the software system to measure the ability of the system to overcome and
evaluate the impact of failure on the availability and durability of the
system.
The concept of Chaos engineering was introduced and
developed by Netflix to test their IT infrastructure resilience to ensure a
smooth experience for their customers. They call it 'Chaos Monkey'.
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Antonio García Martínez, the author of the book 'Chaos
Monkeys' explains the concept as -
"Imagine a monkey entering the 'data center',
'agriculture' server that organizes all important functions of our online
activities. Monkey randomly tore the cable, destroying the device and returning
everything that passes the hand [IE throwing dirt]. The challenge for IT
managers is with Designing the information system that is responsible for so
that it can work even though these monkeys, which are never known when they
arrive and what they will destroy. "
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The concept may appear to be contrary to intuition, but it
is a brilliant tool to prepare your software on potential problems. Instead of
waiting for an error occurred because it implements improvements, test
engineering tests or chaos taking a proactive approach.
By practicing testing chaos, organizations have further
control of errors introduced. With this benefit, they can quickly identify
hidden defects, vulnerabilities, and other problems, which may never present
themselves during the traditional testing process. Having a critical error
lying around may prove fatal in the long run.
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Impact of software failure
History has been a witness to many incidents where the
smallest bug in software causes disaster results.
Recently, Heathrow London Airport was hit by technical
problems, an impact of more than hundreds of flights. And, two incidents of Max
Boeing 737 were unforgettable.
A few weeks ago, the zoom of video conference applications
went down for hours, which disrupted the meeting and class around the United
States.
Cyberattack recently at the University of Brno Hospital in
the Czech Republic caused a computer shutdown directly in the middle of the
Coronavirus outbreak.
These are just a few examples of the ocean incidents that
occur every year due to unresolved software disorders and disabilities.
This failure causes the organization to talk about the
city for all the wrong reasons. Business and their income is not only affected,
but their reputation obtained hard must also face a heavy blow.
Means the time for recovery (mttr) vs means time for failure
(MTTF)
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Traditionally, the organization is proud for a long time
that they have without blackouts or technical problems. This means that they
rely on the average time for failure (MTTF), which is the average time in which
the system operates before it fails.
However, the irony is that customers will not remember all
the time the software system works perfectly, but will never forget it once it
does not.
Therefore, the high time that the organization shifts its
focus from the average time for failure means time for recovery.
The average time for recovery is the average time that the
software system is needed to recover from failure. Now, the aim for global
organizations must minimize the average time for recovery in such a way that
customers don't even pay attention when a problem occurs. And this can be
possible with help testing chaos.
Testing and DevOps
Let's get one thing that is clear - to inject the systemic
error into the software system does not mean it causes an impact on the final
customer. Any experiment with the introduction of intentional chaos must remain
behind the curtain of the application that works well for end-users.
This cannot be done with software development and
inheritance methodology. Chaos Engineering completes well only in DEVOPS
settings where integral automation with the entire process of testing and
software development, monitoring loops, and continuous feedback is determined,
and there is scope for sustainable improvement.
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When an error is injected into a system, some bugs are found
and the vulnerability is identified. With the help of DevOps practices, this
defect can be resolved in real-time, and automation can be deployed for future
events.
Testing of chaos, combined with DevOps, is the best way to
develop and provide software that is very tolerant and tough.
How can we help
Achieving rapid and sustainable development &
distribution of cloud-based cloud-based applications on various platforms
requires smooth collaboration between development, testing automation, &
operations team.
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