Serverless Computing
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Serverless Computing: The New Cloud Technological Trend


Serverless computing is the next step in the evolution of cloud computing. It’s not even a new technology but rather a new way of using existing technologies. As such, serverless may be called “serverless” because it doesn’t require servers or any other physical infrastructure to run applications or processes. Serverless also enables developers to focus on writing code instead of managing mundane tasks like provisioning resources and scaling applications.

Many people think that all cloud computing services are similar at their core. There are several different types of cloud services available today:
Infrastructure-as-a-Service (IaaS)
Platform-as-a-Service (PaaS)
Software-as-a-Service / Web Applications (SaaS)

What is serverless computing?

Serverless computing is a cloud computing execution model that allows developers to build and run applications without having to worry about the underlying infrastructure.
This means you can focus on writing code for your application, rather than on building, configuring, and maintaining servers.
More specifically, serverless computing is a programming model that enables developers to write functions as small units of code (functions) that execute in response to events or HTTP requests. Serverless computing also helps with scaling applications by automatically distributing them across multiple machines or regions when required.

Serverless Comparison (AWS Lambda, Azure Functions, and Google Cloud Functions)

AWS Lambda is the oldest of the three and has been around since 2014. It offers a free tier, which allows you to run code up to 5 million times per month at no cost. There’s no limit on how long the code can run (although there are limits on how much memory it can use).

Google Cloud Functions, announced in 2017 and made available in 2018. Like Azure Functions, it has a free tier with quotas that vary depending on what language you’re using; for example, Python gets 10 million invocations per month while JavaScript-only gets 1 million invocations per month. Google Cloud Functions also supports Java 8 (and higher), enabling you to write lambda functions using your favorite Kotlin-based frameworks like Spring Boot or Vertx!

Azure Functions were announced just last year at //Build 2018// but have been available in preview since August 2017; they became generally available this past March (2019). Its “pay as you go” pricing model gives developers access to features such as load balancing and CDN integration that previously required dedicated servers running full virtual machines—at least until now!

Advantages and Disadvantages of Serverless Computing

The advantages of serverless computing are obvious: it’s an approach that frees you from having to think about servers, which means that you can focus on building apps and not worry about the back-end infrastructure. You get a lot of benefits out of that.
However, there are also some disadvantages to serverless computing:
It makes it harder to troubleshoot issues because you don’t have direct access to the underlying systems.
You have limited control over the operating system and other software configurations running on your code.
It requires more code than traditional approaches (e.g., VMs).

Serverless Computing Is Changing The Way Of IT

Serverless computing is a new way of building and running applications. It is not a new concept, but it’s picking up steam as businesses figure out how to use it more effectively. It’s important to understand what serverless computing offers, so you can see if it’s right for your business or organization.


This blog only covered the basics of serverless computing, but hopefully, it has helped you understand what it is and how it can benefit your business. As I have said before, it is not a replacement for everything in IT, but rather an addition to your tech stack that can streamline your business processes and help you save money when used appropriately.