The concept of serverless computing started back in 2014, and among the first pioneers was the Amazon web services (AWS). In the short span of almost 5 years, we have a complete dedicated serverless landscape being offered by multiple cloud vendors, like Google Cloud and Azure systems. However, before you can indulge yourself into figuring out multiple obstacles that might come in your way, it is important to get familiar with the concept of the serverless computing, what it is and what are its various benefits. So, Let’s begin.
What is Serverless computing?
This is much like outsourcing your potential technical systems such as data centre, application API as well as other elements to the cloud vendor’s dedicated servers. The concept being serverless comes into play on dynamic terms, such as the cloud vendors would have to manage the overall resources of your server systems and you won’t be held responsible for any misconceptions technical-wise whatsoever.
There are a great number of benefits that can come along with this very mindset of creating serverless constructs where all your data can reside and you don’t have to look down at those systems all the time as these are being commandeered by the cloud vendors themselves. One of the major benefits of serverless computing is that it provides with green computing mindset that can be applied to any data center or business venture whatsoever. All you would have to do is write your code and then upload it in the remote server that is being taken care of by the cloud vendor of your choice.
When you are done with the code and has successfully updated it, only then you can continue to promote it with an event trigger. Your server is only going to be live for the time being, such as only till your event or code that you have written can perform. This is the most dedicated benefit of the serverless computing landscape as here you won’t have to worry about burning all the excessive energy because your server is only going to get active for a minute time, say the fraction of a second.
Limitations of the serverless computing
There are various ways using which you can choose your own dedicated serverless computing architecture, such as choosing a particular serverless system on the offer and then taking full advantage of their capabilities. The challenge begins where these low-level serverless constructs do lose their focus and capability to be run using automation. The main reason for this deconstruct is that as these serverless environments are being provided by a lot of cloud vendors out there that is why they would require the extensive abilities of the professionals through which these can be combined into useful capabilities.
What is putting of the concept of the serverless systems? Where does the problem lie? Well, for starters there aren’t much tools available that can be used to properly install the concept of serverless computing even in this modern and fast-paced world. Even a survey was conducted with the sole purpose of explaining where the roadblocks occurred and what were these, to begin with? The only roadblock that could fit the definition in explaining all the difficulties and complexities people were facing while trying to go serverless was the absence of compatible tools to take care of things.
But there happens to be a glimmering light of hope, emerging at the very far end of the tunnel with many small startups have started provisioning their help and tools that can help in tackling various distinctive stages of the serverless development. If you think that all these stages would be similar to the traditional construct of a server then you are clearly mistaken. The phases involved within the serverless development lifecycle come forward as things roll and also in terms of the characteristics and very attention required to tackle each and every phase.
Serverless testing is quite nightmarish
When you have made up your mind from shifting yourself from the common server build to the serverless computing then a lot of things would be changed along with it. For starters, the way you used to test your applications, tools or other software systems, all would be changed completely. In the local servers, professionals do conduct local testing on the various components of the application, in the same way, the application might get deployed in production.
But in the serverless systems, the infrastructure would be compressed within the common platform provided by the cloud vendor, that is why it would become very difficult to perform various tests and software integration whenever you require. Various things would get affected similarly such as the production like error handling logging, the performance of the server space as well as the scaling characteristics for your business.
What can be done to avoid this problem? Well, for starters you should consider the concept of remote testing and bring it into the practice. You can begin at the very least or minimal setting array such as choosing the cloud platform of your vendor but deploying your own tools or systems using which remote testing can be done. This would help you on two dedicated fronts, such as it would help you to carry away the concept of serverless computing flawlessly and at the same time would solve the problems associated with testing your programs on vendor’s cloud space.
You also won’t have to change the way your whole server assembly is working nor would you have to bring your serverless systems in close range, but with the help of the remote setting, you would be able to orchestrate any particular setting you require in order to begin analytic testing of your systems right away.
This is all you need to learn about serverless computing if you want to begin working in this advanced arena without encountering any kind of errors whatsoever. On the other hand, if you want to better adapt yourself to the serverless environment then it is recommended that you start learning about it by joining various cloud computing training institute that are also available online.