Today, cloud services are among the most sought-after services as we can see many big players such as Amazon, Google and Microsoft are leading from the front. Instead of using on premise infrastructure, many organizations depend on cloud service providers.
Do you know why companies tend to rely on cloud services rather than relying on their own private cloud? Indeed, there would be cost savings, but apart from the decision to cut down costs, why do businesses seek cloud services providers help?
In this article we shall investigate the various cloud service models and some of the trends that are rocking this arena. Let’s go!
The three most common cloud service models include:
Software as a Service (SaaS),
Platform as a Service (PaaS) and
Infrastructure as a Service (IaaS)
Let’s look at each of the services in brief and then we shall move on to the recent trends in cloud service models for 2023.
Cloud Service Models
Software as a Service (SaaS)
The software-as-a-service (SaaS) model has been prominent for the past few years for it is offering several benefits for a wide range of businesses. Each year, many innovations have been made in the SaaS landscape to enhance its usability and performance.
Platform as a Service (PaaS)
PaaS is essentially a cloud service model that helps developers to write high quality codes for customized applications. It improves application development very fast without having to install an operating system or web server. At the same time, you can add features and therefore, offer scalability. However, it involves more cost when compared to the other two cloud service models.
Infrastructure as a Service (IaaS)
IaaS is a cloud service model where infrastructure service is provided over the cloud. To be very clear, the cloud service providers offer computing resources to their customers. In IaaS, multiple users can share the same infrastructure and they can access resources and need only to pay as per usage. The service providers offer virtual main memory, central processing units, storage, networking components and load balancing capabilities.
Trends to watch for Cloud Service models in 2023
As we all know, AI is taking the tech world by storm and SaaS platforms are also benefiting from it. From content personalization, speed, data intelligence, software integrations to security features, AI is going to help SaaS platforms to perform better in the coming years.
Machine Learning (ML)
Machine Learning allows customer behaviour and likes, data-driven decision making, data security, optimizing internal operations, facilitates collaboration and seamless customer engagement. It helps improve user experience and operational efficiency in the first place.
One of the trends ruling the SaaS trends for 2023 is Vertical SaaS. It provides endless customization to focus on a wide array of businesses. Since it offers customization, it can meet the demands of the clients. The benefit is that it gives flexibility, more opportunities for upselling and lower costs in customer acquisition.
Low Code Applications
Low code app development is the thing for a while, and it is applicable for SaaS industries as well. Since it is more convenient for everyone, particularly for tech startups. Using a low code development platform allows digital innovation, improves responsiveness, reduces latency and many more.
Today, cloud application development is evolving. Multicloud functionality is a new trend where you can facilitate non-disruptive data placement between multiple locations and providers. In fact, it does not affect the disruption arising from cloud migration or any other complexities involved. From a single provider to multicloud solutions, it prevents the reliance on proprietary systems.
6. Reducing Complexities
PaaS growth always aims at reducing the complexities in the cloud infrastructure, reducing costs and accelerating the process. In fact, while providing services through most advanced platforms like PaaS there is a need to reduce complexities. Adopting a flexible and making use of all possibilities to reuse existing automation assets would help a lot.
The future of PaaS is essentially AI-Platform-as-a-service (AIPaaS). Cloud services companies have started delivering AIPaaS. A platform dedicated for offering artificial intelligence (AI) applications. It incorporates machine learning (ML) models where businesses can use it for integrating AI capabilities in a specific application.
Optimizing cost for cloud application development, cloud migration, cloud deployment and maintenance services is a priority. Organizations face a challenge to reduce cloud costs without affecting the performance as well as data security. Both remain a top consideration while aiming for cloud cost reduction.
On top of everything, one of the pivotal points in achieving cost optimization and security is proper monitoring. Hence, to provide for better ways to control costs, there would be some innovations pertaining to the monitoring tools particularly for optimizing cost and usage.
Emergence of XaaS
The term SaaS stands for ‘Anything-as-a-service’. Today, there is a growing need for cost reduction and minimizing downtime. It encompasses not just the digital products but also everything under the sun, from the comfort of your home or office, or on the go. Therefore, the name Anything-as-a-service’. The market for XaaS is expected to grow during the year and in future as more and more businesses prefer to migrate to cloud based platforms and services. Furthermore, customer demands also grow; more importantly, subscription-based industry models while the users benefit from faster deployment, advanced security features, cost reduction, scalability, and improved adaptability.
The focus will be on improving cloud data handling and security by fixing the issues by implementing strong measures. 2023 will witness the adoption of AI and ML in cloud service platforms and the popularity will increase in the coming years as well. An AI services provider offering cloud based solutions incorporate the technologies and will transform the entire cloud-based service platforms the way the data gets collected, stored, and secured.