Back in May, Jeffrey Kaplan of THINKstrategies attempted to
kick-off this conversation with APMdigest.
But why hasn’t this been a catalyst for a real conversation around how
IoT will exponentially increase the complexity of application
environments? As IoT begins to gain more and more ground, are we ready?
Will CIOs understand the preparation needed to be fully prepared?
The rise of complex environments
20 years ago, the backend environments were relatively
simple — user requests enter the system via a PC, traverse an internal
network, maybe go through a messaging queue, relay to the database, and
back. Any issue could be diagnosed and resolved in a methodical way and
troubleshooting usually followed the lines of is it the network
connection? Is it the server? Is it the database? Or is it the user?
These environments created a plethora of 1st generation monitoring tools
that focused on the network or servers only, and in some cases just
carried out simple Ping checks!
However, with the rise of cloud environments, Agile release
cycles, more and more devices, and just the overall technology landscape
innovating at lightspeed, these environments grew into complex,
distributed spiderwebbed systems. Don’t believe? Check out a real
environment for an online retail company below:
Any performance issue here and without a proper monitoring tool it’ll be like looking for a needle in a haystack.
Now, let’s add IoT into this and the environment becomes 10x
more complex. Visibility of applications, third-party apps, and API
calls is vital to ensure user experience.
Simple IoT use cases
Take a simple IoT use case where a person has a wearable,
walks into a coffee shop and that triggers their regular order. A pretty
straight forward example, however, it would involve a lot of backend
systems communicating in real-time to deliver a seamless user
experience. The wearable and geolocation would need to connect to the
in-store network, which triggers a call to the customer account info to
check status, preferences etc. and then brings the order to the
baristas POS system. The call would also need to go into the payment
backend system to make sure the person was charged correctly. A simple
use cases like this triggers a very complex asynchronous transaction
that becomes a nightmare to monitor end-to-end.
Key to providing this personalized service is software and
if, at any point, the associated applications have a performance issue
then customer experience is ruined. The result; the customer visits a
different coffee shop next time and probably vents their frustration on
social networks. This impacts the coffee shop’s revenue and damages
their brand. Think about this situation unfolding during the rush to
work and you can understand how IoT complexity can cripple a business.
Therefore no business with IoT services can afford any performance
issues.
Performance isn’t an after-thought
The above example was simply a convenience scenario meant to
save a few minutes. With the rise of IoT, more and more devices will be
connected and rely on critical, or even life-dependent, devices.
Healthcare has several IoT use cases. If there’s any sort of performance
issue the consequences are way more severe than someone not receiving
their coffee.
AppDynamics and preventing IoT issues
At AppDynamics, we have seen the rise of interest in regards
to IoT services. Our customers in industries such as automotive and
retail are focusing on how IoT can enhance the services they provide to
customers and how sensors plus software can enhance employee experience.
IoT increases software complexity with microservice architecture,
asynchronous transactions and cloud delivery. On top of this, because
IoT is all about delivering enhanced experience, then understanding how
these services are utilized, which features are most important and
delivering most value is critical. Therefore Application Intelligence is
vital to any company, serious about IoT. For more information please
see
here.
About Author
Kevin is the Senior Content Marketing Manager for
AppDynamics. He's a longtime suffering San Diego Chargers and Padres
fan. You can follow him on Twitter at @Kevin_Goldberg
Comments
Post a Comment