6 Emerging Technologies That Make ‘Cloud’ Stand-out!

By Veritis

6 Emerging Technologies That Make ‘Cloud Computing’ Stand-out!

Technology has come a long way in transforming the industry. Cloud computing is one major revolution in the process that has completely changed the way business functions.

And, we have been witnessing the series of emerging technologies powered by cloud computing over the years.

The technology evolution has been happening around the cloud and for the effective cloud utilization. In the process, these technologies are not just changing the cloud computing environment, they are transforming the world of computing as a whole.

Here are 6 emerging technologies in the cloud computing zone:

1) Containers

Containers rose to fame exactly at a point when the ‘speed of delivery and complexity’ have been very important for the IT industry. Unlike traditional Virtual Machines (VM) that hold the main OS, Container technology arrived as a lightweight software packaging method, where a container package carries a piece of software and its bare essentials (libraries and configuration files) to traverse across different computing environments.

Docker and Kubernetes took the container popularity to the next level in terms of adoption.

According to the Rightscale State of the Cloud report 2019, 66 percent of firms have already adopted containers and 60 percent have Kubernetes for container management.

2) Serverless

Serverless

That was the time when IT industry struggling with critical hardware maintenance and software provisioning. Serverless computing answered these concerns by handling key maintenance and scaling demands of firms, encouraging them to focus on other key functions in their cloud-based systems.

With serverless computing, the trend for pay-as-you-go and pay-for-use computing models picked up addressing the majority software burden. This function-as-service model made the cloud computing environment run faster and more efficiently.

3) Microservices

Microservices

Dealing with single large applications is old fashion! Componentization has been the trend to simplify the software process. This process of breaking a larger application into small modules or components to deliver faster is referred to as Microservice.

A microservice architecture breaks monolithic apps into small, joined services or modules. This modular approach makes it easy for the delivery of multiple modules by different small teams, independent of the actual ‘bulk’ application. This enables continuous delivery of fully-updated software and ultimately speeds up the app delivery cycle.

4) DevOps

DevOps

This is another major trend that gave a due boost to the cloud computing environment. By bridging gaps, DevOps culture brought together different teams with expertise in different areas, making them work for a single goal.

Developers create codes, Operations teams work on metrics. Together, they can create wonders in a software environment giving a competitive edge for organizations. DevOps tools and resources, security integration like DevSecOps and more make DevOps more special!

5) Internet of Things (IoT)

Internet of Things (IoT)

IoT has given a new shape to the technology trend. What we see around are the resultant, fitness trackers that come as wristwatches, smart homes, self-driving automobiles, and more. These processes involve enormous volumes of data. How do you process this data? The answer many businesses have is through ‘Cloud’.

Cloud-based data analytics platforms, backed by hyper-scaling servers, facilitate effective data processing. Cloud also offers solution to another key question about setting up IoT, which is basically expensive and complex to build from scratch.

No worries, major cloud platforms address this concern by giving IoT solutions part of their offering.

6) Artificial Intelligence (AI)

Artificial Intelligence (AI)

Artificial Intelligence is now the next-generation technology solution set to present the technology world in a different view. With its solutions that exhibit machine intelligence independent of human assistance, AI is emerging to enjoy high market dominance among existing tools.

However, building AI applications is complex for many businesses. This is where cloud has a crucial role. Such companies are looking at Cloud for machine learning and other deep learning tools. Because of its wide computing and storage options, the cloud-based AI is emerging as the most-sought solution for businesses of any size in realizing their AI efforts.

In Conclusion
These promising technologies show once again how crucial the Cloud Computing platform is to the IT industry, today and for the future.

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