5 Real-World Application Testing and Deployment Pitfalls that can be Mitigated through Azure Training




The cloud has already proven to be the global platform of the future and the hottest thing in the enterprise landscape currently. It functions as a database, a virtual hosting platform, as well as a processing center for entire enterprises. However, despite the vast number of cloud services now available, moving to the cloud is still not as uncomplicated as it seems.  in the real world, there are various issues that arise when it comes to application implementation and testing in a cloud platform.  while this may be very easy on a localized server or process center, the cloud has its own set of fundamental and semantics.

Cloud-based application testing and deployment is one area that often suffers from a variety of setback.  surprisingly Enough this is to do a greater degree today now that there are multi-cloud environments out there that feature cloud services from several service providers eat with their own set of particulars. When enterprises attempt to test and deploy applications in a multi-cloud environment problem can often arise with internal compatibility as well as other elements.

Microsoft Azure as a platform is actually quite stable and hosts applications very well. However, even despite the integral ease of posting applications on Azure, things can go wrong. According to one report, the quality of web apps is very important. Now, the quality of the cloud service that is hosting the web apps is not that big of a concern when we are talking of MS Azure. However, application testing can still become troublesome with the incorrect procedural parameters.

To that end, in this article, we will address some of the real-world application testing and deployment pitfalls, and how Microsoft Azure training can potentially help mitigate them.

Service Combination and Integration

One of the most persistent challenges that occur when it comes to texting applications in the cloud is the setback that arises when multiple services are operating in conjunction with each other.  It can be understood in simple terms that when there are more moving parts then the foundation machine can handle, problems can always happen. As opposed to a local system, the cloud has different running parameters and an application testing procedure that work on a local system may not work in optimal condition in a cloud platform.

 The same goes for application deployment. In fact, the testing stage determines deployment results and if there are issues within testing deployment is bound to suffer unnecessary delays. The complexity of the testing service itself, as well as the cloud platform, will have an impact on the deployment outcome.

Configuration-related Clashing

With cloud testing comes a number of testing and application-specific configurations, which may not integrate perfectly, especially when the cloud service in question hasn’t been optimized for application testing, or vice versa. Fortunately, Microsoft Azure does not have this problem, due to its unique framework build that accommodates testing and deployment needs of most organizations and applications.

However, with insufficient training comes the potential for misconfiguration at the testing stage, which can, once again, delay deployment. Another very common problem is the speed and latency of the local service that is host to the testing. Cloud testing has a completely different set of needs when it comes to running purely- cloud-based testing services. Optimal network and connection speed is required, as well as sufficient provisioning of bandwidth, to accommodate the additional load associated with application process management.

Process and Database Access

Application development teams are mostly the ones responsible for all the cloud-based quality control, even after the enterprise has moved on to the cloud. Interestingly, a cloud environment is based on certain principles of collaboration that provides resource and information access to a number of people, some of whom may not be involved in the process in question.

Application testing works well within a cloud architecture that does not permit access to elements which may wither disrupt the configuration-related setup, or the testing procedure itself. While having fewer points of failure is dangerous, since more things could go wrong at a single source, and various processes could be affected due to a single compromise, having less widespread access to processes is advantageous.

Cloud Service Diversity

And now the most fundamental challenge of all, which is often the issue within a multi-cloud environment, where a company uses more than MS Azure to host the applications, and in fact, the entire company infrastructure. It is important to determine what are the testing parameters of all the cloud platforms involved, to make sure that no one service presents a testing environment that is not optimal for the application that your company will be testing and deploying.

Staff Expertise

Having expert development and quality control staff is of the utmost importance, especially in the technologically charged and competitive landscape of today. If the application development staff is operating with either insufficient or incorrect guidance, then there will be more chances of errors in general. Additionally, if the knowledge acquisition is not backed by solid MS Azure training, then there are greater chances of the staff failing to understand the unique testing and deployment standards of MS Azure.

Make sure to provide the required Azure training, to enable your staff to not only develop and deploy apps according to Agile principles but also make their intrinsic processes future-proof.

About The Author
Ed
CEO, 360training and QuickStart

Ed Sattar

Sattar has invested 20 years in the e-learning industry and made significant contributions across multiple industries. His experience includes extensive research and consulting to convert training into high-impact personalize learning experiences for a modern learner. He innovated how to deliver compliance training through a learning management system without comprising learner retention. Most recently , he has developed a unique proprietary Instructional Delivery Methodology called QS Learn, embedded into the industry's first cognitive learning platform, CLIPP, which is based on artificial intelligence. During his tenure, he has identified key criteria and e-learning compliance standards that are currently being published and implemented.

Ed Sattar has been nominated for the Ernst & Young Entrepreneur of the Year award three times and was among the top seven finalists in 2009. He has appeared on the Deloitte Fast 50 as the leader of the 6th fastest growing company in Texas, was awarded the Economic Engine award, the Greater Austin Chamber of Commerce Award, was featured in CEO Monthly and got the companies listed in Inc 5000 several times as one of the fastest growing companies under his leadership.

Ed studied Electrical Engineering and Finance at the University of Texas at Austin.