In this chapter, we covered the basics of serverless computing. We went over the evolution of serverless computing, its pros and cons, and the current state of the ecosystem. The last decade's innovation in hardware has given rise to an inventory of very high computational power at commodity hardware prices. Now, the software is catching up with the hardware advancements and churning out different paradigms to deploy modern software systems, like virtualization, cloud computing, PaaS, IaaS, BaaS, FaaS, and so on, presenting developers with a variety of options to design, architect, and deploy their systems.
Serverless computing started as pure FaaS, but it is rapidly converging with BaaS concepts, and the lines will continue to blur. The cost savings that manifest because of the adoption of serverless are so attractive that there is a revolution underway to adopt this paradigm, and for good reason. Teams are getting leaner and more laser focused. Turnkey serverless offerings are speeding up the time to market.
Although there are high praises for serverless, one must proceed cautiously when adopting this paradigm, especially if one is coming from a traditional background. The absence of a local state, potential startup latencies, and so on, are some of the caveats that must be kept in mind while designing a serverless application. Although these are not drawbacks in the real sense of the term, cognizance has to be given in an opinionated manner while developing serverless systems.
The cloud-native nature of the serverless paradigm inherently makes an adopter provider dependent. This might have ramifications for security, compliance, and so on, for companies that have a strict demand for it. This is being rapidly addressed by the big cloud providers, employing a compliance-first strategy while packaging their serverless offerings. The key takeaway here is that the adopters must take due diligence while embarking on this journey.
Some of the biggest and most dependable serverless providers are Amazon Web Services, Microsoft Azure, and Google Cloud Engine, among others. As we explore the serverless landscape in this book, we will dive into the serverless offerings of Amazon Web Services. We will also explore some of the toolkits that can simplify the adoption of serverless systems even further.
