Cloud Computing: Emerging Technology You Should Know About

Cloud computing is already the driving force of many digital services, from social media and cell phones to smart cars and the internet of things (IoT). Cloud computing’s emerging technology will make business devices and systems faster, lighter, and more accessible to the masses.

Emerging Technologies in Cloud Computing

Gartner, a leading IT research firm, predicts by 2025, roughly 85% of organizations will welcome a cloud-first strategy, with 95% of digital work taking place on cloud-native applications. If you haven’t adopted cloud computing services yet, you may be wondering why so many businesses will migrate in such a short period.

Below are Warwick’s favorite cloud computing trends playing a significant role in the push toward cloud platform migration.

Artificial Intelligence and Machine Learning

There is a mutual relationship between AI and the cloud – Artificial intelligence powers the core of cloud computing. The cloud plays a major role in making AI-based services available to a broader audience. Combining the two technologies allows small businesses to access AI-powered services and advanced machine learning programs cost-effectively. Artificial intelligence assists in the management of cloud data and insights, while the cloud allows for reliable, offsite data storage for backups and disaster recovery.

Artificial intelligence algorithms, like machine learning, can help businesses gain additional value from the large amounts of data they collect and thus improve their operations. The ability to run AI systems from cloud service providers is especially beneficial for companies that don’t have the development team or budget to build an artificial intelligence infrastructure in-house.

Advancements in cloud computing resources and AI will continue to grow together throughout the following years. While artificial intelligence and machine learning are considered next-generation technologies, they are already coming out on top of the market.

However, building AI-based apps is expensive and complex — this is where the cloud comes in. The cloud has vast computing and storage capabilities ideal for small to mid-sized companies looking to make their AI dreams a reality.

Serverless Cloud Solutions

Serverless cloud computing has only been around for a few years. It began as a promise for pay-as-you-go models of cloud computing that allow businesses to pay only for what they’ve used. Thanks to the trending demand for pay-for-use computing models, serverless computing has addressed key concerns involving software burden. The serverless function-as-service model allows the cloud environment to run more quickly and efficiently.

Serverless services let the cloud infrastructure scale in the background based on the requirements of your application. This lets small businesses and start-ups with smaller teams utilize great computing power for scalability at a much more reasonable cost. Thanks to this automation, the database infrastructure grows and is maintained based on an organization’s needs. IT leaders can then focus on other vital elements – saving them time and money in the long run.

Another advancement that serverless functionality brings to the cloud is the placement of safe sandboxes that allow organizations to run their code without the risk of back-end failures. Ideally, without the need for servers, the tech world will be able to create exceptional user experiences in just a few short years.

Microservices and Edge Computing

The ever-trending microservices cloud model breaks monolithic applications into small, conjoined modules. This system makes it easy for multiple teams to deliver various modules independent from the application as a whole. Microservicing modules enable teams to continuously update software in a multi-cloud approach and speed up the app development cycle.

On par with the decentralized data centers that allow for microservicing is edge computing – an alternative strategy for computing and storing data in which DevOps teams build localized computation and storage centers at the source. This approach is generally used for time-sensitive data, while the central cloud approach processes data that doesn’t need to be accessed as quickly.

Edge computing is one of the most talked-about new technologies concerning the cloud environment. According to Gartner, 75% of businesses’ data will be generated and processed using decentralized clouds by 2025. This number is no surprise since bringing data processing closer to the sources generating the data instead of on a distant central cloud reduces latency and improves the performance of apps and edge devices, also known as IoT devices. Edge computing contributes to much more streamlined tech and apps through speedy data processing, minimal lag, improved connectivity, security, and more, and will enable companies to increase operational efficiency.

Finding a Safe and Effective Cloud Solution For Your Ohio Business

There are many ways a business can utilize the cloud. Plus, new and exciting innovations are emerging every day, changing the landscape and functionality of cloud solutions. With a clear trend toward total adoption of cloud services, businesses may feel overwhelmed by the pressure to migrate.

Finding the right cloud solutions requires you to take an intimate look at your company’s needs and security posture. You need to make sure you or your provider are taking the necessary steps to deploy and secure your cloud, or else you could be setting yourself up for failure.

Don’t go at this alone — the expert IT team at Warwick can help you make sense of cloud computing technology and identify the best approach for your business! Reach out today so we can set you up for success.