BaaS vs FaaS : Both architectures have their own distinct use cases and can complement each other in serverless application development. BaaS is focused on managing the backend infrastructure of applications, while FaaS allows for the execution of self-contained functions in the cloud.
Why are Serverless Architectures Important?
Serverless Architectures is an execution model to build and run applications and services in a runtime environment by helping in
- Ideal business implementations and management of infrastructure
- Maintaining a better level of control
- Tackling with Plan availability, SLAs and uptime requirements
- Reducing Operational Costs and better budgeting
- Mitigating Vendor dependencies
- Utilizing apps & services relying on 3rdparty, APIs, or custom codes.
- Excludes the need of personally engaging with servers and hardware management
So, Serverless Architectures are execution designs that may either use 3rd party services or in stateless compute containers and running custom codes, respectively, known as BaaS (Backend as a Service) and FaaS (Function as a Service).
With serverless architectures, organizations get an extra hand with managing an application development duties on the server and pay only when you utilize any resource.
It assists with all the needs that come with running an application model such as, regular updating a server and licenses while maintaining security and uptime (availability).
The conventional system may have a single self-contained code and application and using multiple databases for retrieving and storing information and API authentication.
But, in serverless, these are treated as separate functions while delivering a stable application run. Because of this, the serverless model saves a substantial degree of computing power, cost, time, storage, and other resources.
BaaS vs. FaaS
For understanding the difference between BaaS and FaaS, you must acknowledge the fact that they both have different uses and hence deliver no direct competition to each other.
Here we will discuss the distinctive importance of both types of serverless infrastructure components so that you don’t employ FaaS to do a BaaS work.
BaaS is a previously famous cloud-based computing model, that automates and manages the backend side of a web or mobile application development.
Now, mainly known as its latest approach – Mobile Backend as a Service (MBaaS), it helps developers with data and files storage, messaging and push notifications, a social networking integration, and their configuration and supervision.
MBaaS is an exercise of employing service providers to work on the backend services for all the technical infrastructure essential for a stable application development via custom SDKs and APIs.
Also Read: Delivering Scalable Cloud Services through Serverless ComputingÂ
- Kumulos
- Firebase
- Back4app
- Azure
- Parse
- Hasura
- Kinvey
- Firebase
- Linx
- Leancloud
FaaS or Function as a Service is a platform that lets you run self-contained functions (code snippets) in the cloud.
It offers users to execute already designed codes when triggered. It is popularly being used for its real-time processing of data.
This helps developers in creating or updating codes on the fly that could be executed with any interaction with its element on the page.
The apps and services run on a select type of temporarily running containers (ephemeral containers) in the existing pod. A pod consists of multiple running containers that share the same resources and network.
They exist to provide smooth user integrations and to accomplish a variety of workloads and troubleshooting without disturbing anything else in the process.
So, In FaaS, custom codes run in ephemeral containers. FaaS is meant to manage and regulate microservices in an optimum manner.
Hence, it is an event-based model, to monitor and execute the hosted code bits, without bothering the user with the code execution.
- AWS Lambda
- Cloud Functions | Google Cloud
- IBM OpenWhisk
- IronWorker
- Joyent Manta Functions
- Microsoft Azure functions
- PubNub BLOCKS
- Serverless Docker
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