Cloud technonolgy remains the key trend in the modern computing landscape. Its high scalability, flexibility, and efficiency allow many businesses worldwide to adjust to change. In recent years, the entire industry has made amazing progress, which helps companies boost their operations and generate innovation. To keep ourselves updated with recent happennings in cloud technology, let me introduce you to some of these trends. Are you ready to learn, let’s dive into details.
Next, let’s explore 7 of the most recent trends that are going to define tomorrow’s cloud generation.
1. Hybrid Cloud Technology Solutions: Closing the gap between On-Premises and Cloud-based Environments
Hybrid clouds are important for organizations because they enable them to combine their on-premise systems with cloud services. This way of doing business simultaneously takes advantage of both settings, optimizing performance and being the most cost-effective. By adopting higher levels of management and orchestration tools, organizations will be more agile and scalable across their hybrid cloud platforms.
2. Edge Computing: Boosting Speed and Lead Time
Edge computing today has grown in popularity. This is due to its ability to provide the desired response time and reduce latency in business applications. Edge computing proceses data right at its production point or zone. As a result, this removes the need for sending data to long distance to servers in the cloud. It is beneficial for deploying IoT systems because of real-time visibility and action-taking on the edge.
3. Serverless Computing: How to Redesign Application Development with Cloud Technology
Serverless computing is one of the new and highly embraced advancements in the cloud computing industry. The concept has entirely changed the way programmers develop and deploy applications. As a result, the model has taken responsibility for provisioning and maintaining backend infrastructure from the programmers so they can concentrate on their coding tasks exclusively.
Note that one can acquire and use the readlily available numerous serverless platforms in the marketplace. Additionally, these platforms are owned and operated by different cloud service providers (CSPs).
3.1. Examples of Cloud Technology Service Providers
Since different CSPs offer them, it is conclusive that they have different features, prices, focus, limitations, and language support, among others that you may think of. Some examples of the most popular serverless platforms from the most commonly recognized CSPs are;
- AWS Lambda. It is one of the fully managed cloud services built, provisioned, and managed by Amazon Web Services. Lambda is available to customers for use globally.
- Azure Functions. This is a readily available event-driven solution for businesses, one among the Microsoft Cloud Services.
- Google Cloud Functions. It is Google’s primary execution environment. It enables and facilitates connection to cloud services for serverless computing activities, such as building and deploying applications.
You should note that other serverless computing tools exist, such as Netlify Functions, Vercel Functions, and Cloudflare Workers, so this list of examples is not exclusive.
Furthermore, serverless computing tools enable individuals and organizations to save money by utilizing resources more effectively with the pay-as-you-go approach. This revolutionary path is giving rise to new product design and speeding up the launch of digital projects.
4. Artificial Intelligence (AI) and Machine Learning (ML) Integration: Unlocking Data Insights
Combining AI and ML with cloud services opens the doors to new heights of data analysis and knowledge discovery. Cloud providers provide various AI-driven services, such as computer vision, predictive analytics, and NLP (natural language processing), which help businesses extract helpful information from vast amounts of data. The amalgamation or merger of cloud and AI technologies is the primary driver of innovation in the industry, from healthcare to finance.
4.1. What is Artificial Intelligence (AI)?
Using layman’s language, artificial intelligence, popularly known by its acronym AI, refers to the science of making computer systems as intellectually intelligent as humans. Therefore, AI simulates human intelligence in different types of machines in two main ways. First, developing and programming them to think like humans. And secondly, ensuring they exactly mimic human actions.
In development, machines are given human cognitive abilities such as perception, learning power, reasoning, and natural language understanding. For example, one of the OpenAI’s GPTs – “Write For Me” helps people to write blog posts as if they are written by a human. Thus, the tool has the ability to write a blog post like I do.
This is because it understands natural language, it can reason, and converse in writing like a human being. So, it is made to have these qualities and many more by human developers during AI tools development.
4.1.2. The OpenAI’s “Write For Me” Example.
By simply giving it the blog title or topic, specifying the number of words, target audience, and writing format, you generate a SEO optimized post in seconds.
Furthermore, you can ask it to refine the post using follow up prompts until the blog posts fits your needs and desires.
Therefore, in the end, they are capable of doing tasks that could previously be done by humans only. For example, you can use Generative AI to revolutionize your daily work. Look at one of real-life scenario I use time to time above. I use the “Help Me Write” AI tool to write a blog post time to time. However, I do not rely on it entirely. Also, in the case where I use it, I read through, verify content, edit, add more personal insights, and proof read again for quality purposes.
To gain more insights on interacting and using GenAI to improve your productivity, read our comprehensive tutorial. What is Generative AI?. The tutorial expounds on how we use one of the arguably recent Artificial Intelligence (AI) innovations.
4.2. What is Machine Learning (ML)?
Machine Learning is a branch of Artificial Intelligence. ML creates and trains algorithms using datasets and uses them to create models that enable and support machines to perform tasks previously deemed to be performed by humans only.
In other words, the algorithms are trained to analyze, find patterns, and relationships in a particular dataset, and use them to make data-driven decisions about various topics. To explore machine learning more, read our extensive tutorial – What is Machine Learning?
5. Quantum Computing: Leading the way in developing unprecedented computational capabilities.
Quantum computing is one of the many new paradigms emerging in computing power. It allows for solving problems of excessive complexity at an unprecedented rate. Cloud providers are actively involved in quantum computing research and development. They get involved by providing access to quantum processors through their platforms. Although quantum computing is just at the beginning of its development, it has the potential to transform the future of cryptography, materials science, and optimization.
6. Security and Compliance Enhancements: Ensuring Data Protection Using Cloud Technology
When organizations move critical workloads to the cloud, security and compliance measures become even more crucial. Cloud providers are constantly improving their security offerings, including technologies such as encryption, threat intelligence, and identity management, to ensure data safety and counter cyber threats. Furthermore, compliance certifications and frameworks are crucial for businesses in regulated industries as they help build trust in cloud services.
7. Cloud Computing as Disaster Response and Recovery Plans: Staying live online with backups
Unanticipated disasters can hit a business’s information technology systems anytime, disrupting services. According to an online survey report, 96% of all global information technology (IT) decision-makers and managers have experienced at least one outage in the past three operational years. To me, with only 4% remaining, this implies that downtime is rampant and can happen to any company at any time.
As we all know, downtime in service delivery systems can cause huge losses and even the loss of loyal customers. To avoid this kind of mess, cloud technology comes in and helps in backing up all critical data. In the past, many companies or organizations using traditional IT infrastructures have faced huge losses due to disasters such as in-premise server crushes and cyberattacks.
Today, many businesses and organizations have tapped into cloud technology computing to back up critical data and business information for quick recovery in natural disasters, hardware failures, data losses, and power outages.
According to Otava 2024, 48% of medium-sized companies, 38% of small-sized businesses, and 26% of large companies have adopted cloud computing for data storage, backup, and disaster recovery. Also, according to Cody Slingerland, 80% of big organizations/businesses use more than one public and private cloud service.
In summary, these statistics signify the future growth of cloud computing for disaster recovery worldwide. In 2024, disaster recovery will increase with 94 percent of major global companies embracing or acquiring cloud computing for their operations. This is because other companies not in this category will follow suit. Let us prepare for all the opportunities coming with this trend.
Conclusion: Sammury In a Nutshell!
While these are only the top 7 cloud computing technology trends, other trends exist, and this list is not in any way exhaustive. As a result, I have tackled and enlightened you on the top 7 overall cloud technology trends. I think these are the most important for any knowledge seeker or industry entrant. Therefore, they cover the general industry trends and what is happening as the cloud computing industry progresses. Of course, no harm in doing more research.
Thus, there is online content to do your research for specific trends such as market size, cloud technology computing expenditure, jobs, and future predictions. Feel free even to share your ideas on the comment section at the end of the post. As Next Step In Tech, we promise to cover most of the remaining concepts mentioned above in the near future. From here, you can choose which trend to take advantage of and make the most of it. Therefore, I recommend two important actions to take. One, you follow our career insights. Secondly, take advantage of our free online courses to start your tech career.
Additionally, the fast advancement of cloud technology keeps changing the digital field. These changes allows organizations to innovate, expand, and remain successful in the highly competitive industry and business environment. It goes from hybrid cloud to AI integration using the cloud as a platform for change.
With the help of continuous education and acceptance of new trends, individuals, businesses, companies, and organizations can be ready for the future of cloud computing in the dynamic world.
