Find out more about Serverless Computing Services
To reduce infrastructure costs, we extend the customer's DevOps experience to the serverless concept. By leveraging such technologies as AWS Lambda, Azure Functions, Google Functions, and Kubeless, we help to keep your code event-driven and infrastructure-agnostic, allowing you to focus on your application, not the infrastructure.
Cloud solution for data storage has been around since the 2000s. With the launch of AWS Lambda in 2014, the cloud platform extended its services to Serverless infrastructure services (FaaS, PaaS, IaaS, SaaS). Not only is serverless computing a part of the cloud solution, but it also includes a 'pay as you go' model of the use of computing power.
Let's have a closer look at the serverless computing service models
Since holding in-house server rooms is quite expensive and time-consuming in terms of scaling (either way, you will have to maintain an in-case server active and pay for), cloud providers created several models for the computing power delivery.
FaaS (Function as a Service) runs only the backend part of an application. Initially, you don't need to create the whole environment for an application, FaaS providers offer you an already configured environment for your code. The only thing you need is the client's side — user interface.
SaaS business model offers flexibility and cost-efficiency that is essential for new products on the market. From the user's side, they get access to the application on a subscription basis. For businesses, SaaS offers hosting, monitoring, no idle-fees, and vertical auto-scaling. This is why web services are now exceeding 34% of annual growth at one of the top cloud provider, Microsoft Azure.
BaaS, FaaS, SaaS, IaaS, PaaS — Differences and Similarities
Several business models can drastically boost the profit of your business. By defining your aim, you can come to the right choice and become a front-runner at the market. So, what is a software as a service and other serverless business models?
There are several platforms that provide FaaS environment: AWS Lambda, Azure Functions, and Google Cloud Functions. These platforms allow developers to write functions that will be available to the client while developers create the code for functions that user triggers, third-parties host servers, and run the code on them.
FaaS can become a perfect business solution for microservice infrastructures and applications that are built as isolated functions.
BaaS (Backend as a Service) platforms provide ready-to-go functions for social media integration, location tracking, push-messages, files up- and downloading, and user support. Therefore, a developer doesn't have to write certain functions but call them with an API using Backend as a Service. Google Firebase, AWS DynamoDB, AWS Aurora Serverless are some of the BaaS platforms.
IaaS (Infrastructure as a Service) is a type of cloud service that operates models for accessing, monitoring, storing, networking, and managing data centers remotely. The IaaS solution offers computing resources where you can deploy and run the software. Amazon Web Services and Microsoft Azure are the Infrastructure as a Service example.
PaaS (Platform as a Service) helps to focus on writing code rather than on managing the underlying Infrastructure. PaaS doesn't discharge you from thinking about scaling while FaaS does — this is the main difference between the two services. Google Kubernetes Engine and Azure Container Service provide platform management as a service.
SaaS (Software as a Service) is a delivery model that offers to host an app and gives access to it on a subscription basis. This type of application can be managed directly from the web. AWS VPC and AWS EC2 are Amazon services used to build SaaS applications, such as Google Docs or CRM systems.
PaaS vs. FaaS
So closely related but still different solutions — Platform and Function as a Service — are often confused. Let's have a look at their differences and similarities.
Hardware and software requirements, scalability, and high availability — these factors characterize both PaaS and FaaS business models.
Regarding the differences, there are several: costs and scaling. Unlike FaaS, in PaaS, you pay for a whole platform while FaaS offers you an opportunity to pay only for those functions that were awoken and only for the time they were active.
Also, scalability in the two models works differently. FaaS model covers all scalability needs; it is done automatically when required, unlike PaaS; you still need to think about how to structure and scale your platform.
In case you still haven't defined the best solution for your business, apply for a consultation with our specialist to determine Platform vs. Infrastructure vs. Function vs. Software as a Service and recommend the model that will solve and boost your business goals.