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Top 5 Mistakes ISVs Should Avoid For A Successful Move To The Cloud!

by Lalita Negi on June 29th 2018

For now, migrating to the cloud is something that every business is quite serious about. But, still, many companies ignore those common mistakes that they usually make and also some threats that they may encounter with while the implementation to the cloud computing. May be, in the beginning, you find these mistakes quite petty ones, but later they can turn to be so critical that they make think why is there no growth as expected from it.

So, when ISVs start migration process to the cloud, they should get some more knowledge about it first. Making mistakes during this transition can run big costs like deliver customers a poor experience and can also lead to the data breach. Therefore, this article is all about suggesting our readers 5 common mistakes that often ISVs make and the way to deal with them rightly.

•      Making Monolithic Architecture – An easy idea to encourage scalability is to part the cloud software into loosely grouped small pieces. For this purpose, choosing monolithic architecture is always recommended. It is because every user would not require each and every feature of the application. So, segmenting the cloud services allows the app produced just as many examples of them as needed and close them once they are done.

In addition, allowing components talk to messaging queues is another great practice in the cloud. The user interface would make it as less as possible to keep users waiting for refresh the display in case the code follows asynchronous, separate pieces. Moreover, this way, the waiting time would also be minimised for a person who has just linked to your application.

Furthermore, grouping services would do a great job for scalability as well. So, the idea of launching only required and straight instances is truly independent. It is not merely a method to break a software in a service; however it is a worth considering idea. Once it is over, you can decouple components to make your app elastic.

•     Taking Security For Granted – The big cloud platforms provide flawless security; however there is no way out to protect the app from the flaws it owns. Normally, a desktop app remains out of common sights. Till, it does not get some network breach, only portions that communicate with external world raise concerns related to security. Talking about the cloud application, it get higher external exposure and there is a critical examination needed for its vulnerabilities.

So, it is mandatory for services to communicate more safely with one another. Similarly, the APIs of these services should have authentication. Remember that a weak point here can give an intruder a way to access your data from API.

Moreover, logged in users also have some risk. Specifically, when there are free service or there is trial offer. One can misuse the app like employing bot to fill it, or could run a service denial attack over the app or can use for attacking any other systems.

Hence, there is hard security testing is needed for cloud applications before the final public deployment. Usually, the desktop-based developers fail to think about it in this way.

•      Ignoring The Law of Murphy – During the invention, the law of Murphy was regarded as the base of great design. In every segment of the system, one should ensure that this law should not go wrong or design on the basis of it. In case, there is a place for something wrong in the future, you should set some protections in advance to ensure the least possible damage.

In terms of software design, this principle looks to be perfect; however for the cloud applications, it is very much importance. So, the time a desktop app crashes somehow, users would certainly be affected yet should relaunch.

Sometimes, users can give bad feedbacks maliciously or accidently. Services can feature invalid responses or are timed out. Or a possible data may be disappear. You must have designed codes to address these issues and maintain a way to give continuity to users.

At the worst incident, the app has to deliver a sophisticated error message instead of presenting technological jargon or failing quietly. Showing technical error with a sign of apology is quite better than addressing it flat. So, rather making users confused, go with data dump that can give hints to users about certain weakness that a system suffers with.

Overall, losing data is truly bad, yet storing inconsistent or invalid data is worse. By choosing professional cloud services, you can ensure the consistency of your data.

•      Failing To Learn The Deployment – Cloud apps deployment is a total different action from delivering apps for computer of users. Moreover, it is more convenient if ISV gets the direct control and uses power to upgrade at the required times.

The time a desktop application user receives an update, they already have a knowledge for the same. For the smooth moves, it sometimes takes time for file updation from one smooth state to another. When you use the cloud application, it would be mandatory to keep the level of disruption as low as possible. In case, there is a need to keep service down, you should give users sufficient warning. In this case, replacing an old version with new one without any downtime would be great.

In a model, the current sessions have old code running till they do not get expired. With new version, all new sessions begin to run. It requires the versions to run simultaneously. In case, sessions last indefinitely, the versions would not rightly work. Wholly, it requires one to be experienced and a new thinking for running deployments to the cloud in a smooth way.

•      Making A Complete Move To The Cloud – At last, we do not mean everything has to be the cloud application, but some are highly hard to be moved. Specifically the ones designed on the legacy code which is already difficult to keep up. Making the new cloud app from the beginning would be a better option; however that will be a time taking process.

Those applications dealing with huge data and present live processing would be of greater problems. But, applications that gather data from various instruments are compatible for this category. So, it makes a great sense to divide data into the on-premises section as it processes data when it comes and the cloud section that manages long-term analytics and storage.

Few applications require such powerful security concerns that their web exposure is never a practical option. So, if you have some information that should be locked safely from everyone’s eyes, then migration would not be a good option for it.

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