Types of PaaS
As mentioned above, for a long time, a public Platform-as-a-Service was the only offering. However, matured requirements quickly demanded other PaaS types:
This version is open-source and is accessible without any subscription cost.
The foundation of public PaaS is public SaaS. Its deployment is based on SaaS and IaaS. For instance, unlike SaaS, PaaS doesn’t consume the user-side hard-drive space.
Like IaaS, Platform-as-a-Service frees end-users from the hassle of server management, but a bit differently.
In IaaS, virtual hardware is offered. But, PaaS involves server providers by the hand of the service provider.
With Platform-as-a-Service, cloud computing users have the ability to have a personalized and private PaaS that is often deployed on-premise and in proprietary data centers.
Generally, private solutions are based on a unified hosting platform. It involves software deployment that happens on more than one machine.
Is the amalgamation of private and public Platform-as-a-service. Few resources will be open-source, while few will be 100% customized and on-premise.
PaaS categorization (Based on operations)
Communications PaaS or cPaaS
cPaaS involves multiple cloud-based tools enabling real-time communication. Generally, video, voice, and messaging capabilities are its part.
Users don’t have to get involved in this back-end configuration and interface configuration.
Both hardware and software tools are part of cPaaS and are best known for features like less latency, jitter, and packet loss. The solution is mostly used to host cellular networks and PBX, which are crucial for real-time communication.
Mobile PaaS or mPaaS
It was invented in 2012 and involves multiple development resources, and mobile application developers and designers can use it without any setup.
It’s a hosting-free option offering multiple open-source software that Platform-as-a-service providers deploy to run an app/tool on the cloud, Google App Engine is a suitable example of this category.
AIPaaS or PaaS for artificial intelligence
The surge in demand for AI caused the inception of AIPaaS. It provides a wide range of pre-built AI resources that people can use for various purposes. Generally, deep learning models and machine learning resources are hosted on it.
One can use AIPaaS as-it-is or can customize it according to need. These resources can further be used for the development of multiple AI tools.
iPaaS of integration platform as a service
This is a cloud-based PaaS that help businesses to integrate applications easily.
It simplifies how you connect with the processes, services, and data spread across all kinds of your cloud ecosystems. While this happens, iPaaS ensures that users don’t have to be extensively involved in software, hardware, and middleware management.
Benefits of PaaS
The simplest explanation behind the huge popularity of this service model is the wide range of benefits that this service brings to the table. The right implementation of the right kind of Platform-as-a-service tool enables businesses to relish the benefits like:
Less coding hassle
If an organization is extensively involved in application development then PaaS adoption can keep code development on the lower side.
The service model mostly provides fully integrated and pre-codes resources that hardly require coding.
The pre-built tools and resources of PaaS integrate automation at the core. The automated deployment, cloud data analysis, and maintenance capabilities enable a business to improve the time-to-market and shrink the development lifecycle.
PaaS is designed to boost productivity by permitting development on multiple devices at a time. You can develop on the web browser, mobile devices, desktop, and other platforms simultaneously. The direct result of this is quick development time.
Wide range of tools at affordable cost
PaaS is famous for its resource abundance.
The pay-per-use model offers a wide range of application development tools and resources like servers, networks, databases, OS, storage, VMs, and many more.
This great offering enables businesses of all sorts to engage in development even when no dedicated resources are there.
If you have a distributed and remote team, Platform-as-a-Service is an ideal choice to make as it’s easily accessible.
Your distributed team can assess required resources over a single click. This eliminates the odds of operational flaws that can take place due to miscommunication of disintegrated teams.
Effortless SDLC management
An application has to pass through multiple stages before come-up as a fully developed resource. All these stages are defined as SDLC, and its effective management is the key to success in application development.
By offering pre-vetted and fully-optimized resources, Platform-as-a-service allows developers to test, deploy, update, and manage the entire SDLC without any hassles.
Where to use PaaS
Businesses using API extensively must adopt PaaS as its in-built frameworks ensure that API development, integration, and management are fully automated. It has capabilities that API users can use for sharing API capabilities in real-time.
IoT, or the Internet of Things, is one of the most recent technologies businesses leverage to improve productivity and workflow. IoT tool development is easy, swift, and error-free with PaaS, as it supports all the leading programming languages and frameworks.
Developers can design IoT tools and technologies of all sorts without much hassles and configuration.
Agile development and DevOps
If you’re using agile development of DevOps, then PaaS adoption is a great way to automate the entire SDLC. Starting from integration to testing, PaaS brings seamlessness into DevOps.
Cloud migration and development
Those who’re involved in cloud migration and development must adopt PaaS to simplify the entire process. Replatforming, refactoring, and load balancing are a few features that the service model offers to ease cloud migration. As it adopts containers and microservices, things are easier than before.
Hybrid cloud strategy
Hybrid cloud brings the best of two worlds, private and public cloud, and its adoption rate is on the rise. PaaS will help you have a sound and effective hybrid cloud strategy as it enables businesses to develop resources once and reuse them in the hybrid cloud ecosystem.
Modern security and compliance
PaaS is a great choice to make if you want to adopt the best security and compliance practices. Automatically deploys security monitoring practices based on machine learning and threat intelligence. With in-built access and identity management, improved security is a sure thing.
What does the future hold for PaaS?
The PaaS adoption curve is only moving upwards, and the industry’s positive outlook indicates no slow-down anytime soon. As the cloud service model continues to evolve, new trends and technologies will likely show up.
The recent PaaS industry trends highlight flexible adoption that can support the remote work model. New architectures are showing up so that cloud, database, and security can integrate in a manner that remote work is less risky.
We might witness integration expansion in PaaS so that more and more 3rd party tools can be part of the workflow. Surged demands for managed PaaS services will increase as businesses look for fully optimized solutions that are bound to deliver quality results.
Even though the technology supports IoT, AI, and blockchain, native support is still lacking. We might enjoy native Platform as a Service support for all these and many other budding mission-critical technologies in the future.