Technology is the cornestone of the tech industry of cloud solutions, and as the techological advancement moves forward, we can notice new ongoing trends that change the market and require us to react adequately in order to keep the pace of the competition.
Evolution of the technology comes in two separate forms. First of all, cloud developers keep doing their best to develop new opportunities in technologies of cloud computing and transform the cloud environment in order to go beyond and above customer expectations. In another case, other technologies are developing because of their close collaboration with cloud platforms, and this relates first and foremost to AI-driven tools and machine learning.
Technologies of cloud computing have become world’s most effective and preferred technology for storing and managing data, and also as a main technology that is used to locate the infrastructure of cloud solutions. The great contribution in this process was done by pandemic which forced businesses to switch to remote working model, where cloud solutions offered fast and secure transition.
Market.us forecasts that the market of cloud technology will reach USD 2,321.1 billion by 2032, experiencing a synthesized annual increase rate (CAGR) of 16% from 2023 to 2032. Gartner predicts stable growth for all aspects of cloud platforms for this year.
Let’s discover the key 10 technologies that are going to change the market of cloud computing services and cloud emerging technology.
1) Containers
Containers gained prominence precisely when the IT industry required speed of delivery and managing complexity. Unlike traditional Virtual Machines (VMs), which host the main operating system, Container technology emerged as a lightweight software packaging method. In this approach, a container package contains a piece of software along with its essential components (libraries and configuration files), allowing it to seamlessly traverse various private cloud technology infrastructure environments.
Containers represent collections of software that encompass all necessary elements to virtualize the operating system, enabling it to operate anywhere, whether on a developer’s laptop or transitioning from a private data center to a public cloud. Google relies extensively on containers, utilizing them for services like Gmail, YouTube, and Search. The adoption of containerization technology empowers development teams to operate at an unprecedented scale, streamline software deployment, and achieve rapid iteration.
The popularity of containers surged to new heights with the advent of Docker and Kubernetes, marking significant milestones in container adoption.
2) Serverless
Not far away ago, IT industry relied on on-premises solutions that required numerous hardware and software tools, regular maintenance and other efforts. Serverless computing became the solution to these issues, which provided cost-effective solutions for business and allowed to focus on more important tasks.
The serverless software providing model offers numerous benefits for business, especially when we are talking about pay-for-what-you-use model, which allows small businesses to choose cost-effective solutions that address their business needs without having to pay additional fees for features they don’t need.
Serverless model refers to absence of the need to purchase servers and additional hardware to get the software all set. This is an affordable model for SMBs as it eliminates the need to pay a huge amount of money for set up and maintenance, and this is also the way to set up the software within one day, compared to weeks of preparation for on-premises solutions.
Nevertheless, hybrid cloud technology offered by some cloud providers offers an option to set up a part of business capacities on on-premises infrastructure in order to ensure business continuity for companies that are not ready – due to legal or other causes – for total cloud migration and want to get cloud-based platform capabilities combined with on-premises infrastructure.
3) Microservices
This trend is about segmenting one large software extension into smaller modules and components that are as well accessible from the all-in-one interface, but provide faster access, more comprehensive interface and effective management of processes. Such technologies are called microservice, and sometimes it is also known as modular approach.
4) DevOps
DevOps (Development and Operations) is a new work culture that segments different teams that work on the same project to unite their expertise in dissimilar areas to empower them to achieve the goal faster. Developers work on coding, while operations team work with data analytics. Also, the security team can be integrated with DevOps, creating DevSecOps.
5) Internet of Things (IoT)
IoT has revolutionized the technology landscape, giving rise to innovations like fitness trackers integrated into wristwatches, smart homes, self-driving vehicles, and more. These advancements generate vast volumes of data, raising the question: how is this data processed? For many businesses, the answer lies in the ‘Cloud.’
Cloud-based data analytics platforms, supported by hyper-scaling servers, streamline data processing effectively. Additionally, cloud service providers offer a solution to the significant challenge of building and managing IoT infrastructure, which is both costly and complex.
Fortunately, major cloud platforms address this concern by offering IoT solutions as part of their comprehensive offerings.
6) Artificial Intelligence (AI)
AI (Artificial Intelligence) tools have changed the way cloud technology works, and even though AI is going to open many new opportunities for businesses, it is still effortful and expensive to get. Thus, cloud emerging technology comes to help – another time. Providing AI-tools through cloud technology is much easier and allows developers to integrate their AI solutions with cloud platforms, which makes it affordable to buy for companies of small and medium size. AI solutions allow to process data faster, automate numerous repetitive tasks and manual routine, and also to improve the productivity of employees with the help of AI assistants/
7) Edge Computing
Edge computing embodies a cloud network optimization strategy that prioritizes processing data in close proximity to its origin, thereby bolstering real-time functionality on cloud server infrastructure while reserving less time-sensitive data for long-term storage.
As the telecom and IT sectors continue to converge, edge computing emerges as a focal point, ushering in myriad opportunities and cloud-based applications for organizations.
The escalating proliferation of IoT devices underscores the importance of edge computing, as it facilitates real-time data analysis and information dissemination while effectively regulating traffic from each IoT device.
8) Kubernetes
A significant trend is the growing adoption of container orchestration platforms such as Kubernetes and Docker. These platforms enable large-scale deployments renowned for their outstanding scalability and efficiency. Kubernetes, an open-source platform with extensible capabilities, enables applications to operate seamlessly from a unified source while centrally managing services and workloads efficiently. The evolution of Kubernetes is swift, and it is poised to continue being a major influencer in forthcoming cloud computing trends.
9) DevSecOps
Cloud technology-based applications provide users with a user-friendly experience for data management, but they also pose various security challenges. Security risks in cloud computing encompass unauthorized intrusion, service denial attacks, network eavesdropping, virtualization vulnerabilities, cloud service misuse, and side-channel attacks.
Currently, businesses often perceive data security in cloud computing as a significant obstacle, hindering their adoption of cloud platform solutions. This is where DevSecOps comes into play. DevSecOps involves integrating infrastructure security from the outset, emphasizing the automation of core security tasks by embedding controls and processes within its workflow.
The future of cloud computing heavily relies on ensuring that clients and users operate within a secure system, and DevSecOps represents the most effective approach to achieving comprehensive security.
10) Open Source
The IT industry is experiencing a significant shift towards heightened collaboration and innovation. This evolution is set to redefine how enterprises manage cloud services, prompting them to explore the adoption of open-source cloud services. Open-source cloud services encompass cloud infrastructure solutions constructed using technology or software open for customization by anyone. Essentially, open-source cloud platforms offer enterprises the flexibility to tailor their infrastructure to their specific needs.
Choosing an open-source tech platform offers numerous advantages for businesses. It enables rapid scalability of cloud server infrastructure, facilitating seamless addition of features compared to closed-source alternatives. Additionally, open-source platforms typically raise fewer security concerns. As mentioned earlier, the industry is moving towards a collaborative environment. Opting for an open-source cloud computing platform represents a strategic move for enterprises seeking scalability and adaptability.
The cloud computing model stands as one of the most promising career paths today, and it is anticipated to remain at the forefront of IT cloud solutions disruptions and the integration of new technologies for the foreseeable future.
Conclusion
Technology has been evolving and shaping our lives since industrialization and even earlier. The aforementioned technologies play a crucial role in the development and utilization of robotics, chatbots, and various other tasks, ultimately contributing to the realization of Human Intelligence. Investing in these top 10 emerging technologies at present will fortify your company, instill a sense of security, and provide a roadmap for the future of cloud computing.