Cloud computing is a platform used to deliver various services through the Internet such as data storage, servers, databases, networking, and software. Cloud storage is popular with small businesses who require larger storage space and businesses needing an efficient off-site data back-up solution.
Cloud computing has gained popularity considering that organizations don’t have to worry about investing on large spaces, server infrastructure and tech resources to manage equipment. All these will be addressed and managed by the cloud services provider. The three main types of cloud computing are public cloud, private cloud and private cloud. Predominantly, there are three types of cloud computing - public cloud, private cloud, and hybrid cloud. There are four main services within these - Within these deployment models, there are four main services: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless computing. Here are some of the recent trends in cloud computing.
Cloud computing stores data at one place and serves it across a wide range of applications. This model however, does not consider the various data endpoints generated leading to bandwidth and latency issues. Edge computing moves computing functions away from a centralized data center, getting closer to endpoint devices. Going forward, on-device computing will be a trend as application developers decide what data goes to the data center and what stays on the device. This will result in very quick data transfers and near-real-time applications.
With rapid developments, AI and machine learning are moving from a theoretical universe to practical applications and commercialization. AI and ML applications usually require massive computing resources which the cloud infrastructure would have. This synergy will lead to commoditization of ML and AI and make it easy to build commercialized applications for various cases.
This is an emerging trend and a big one at that. With cloud computing, the server aspect is centralized and application builders can build ‘serverless’ applications. Businesses and application developers can pay only for computing resources and not physical servers or server management, ensuring lesser server failures.
Gartner Group predicts that public cloud infrastructure spending could go up to US$ 1 trillion by 2027. This trend will be driven by more businesses discarding servers and going towards serverless computing.
One of the key areas of concern of cloud computing is the risk of cyber-attacks. Considering that most of the companies would have experienced at least one cloud data attack, cloud security is a matter of great concern when it comes to deploying applications, more so if they are associated with large enterprise corporations. A few trends to address this aspect are Cloud-based disaster recovery (Cloud DR) and Secure Access Service Edge (SASE).
Blockchain is one of the most exciting technological innovations in the last ten years. The model offers robust security and excellent potential and is considered the future. One issue of Blockchain is scalability as more data slows the Blockchain. This aspect can be addressed by Kubernetes where data blocks are containerized and linked thereby offering quicker processing and unmatched security.
These trends are poised to take cloud computing to the next level, allowing application developers and network specialists to design and deploy highly valuable and impactful solutions across businesses going forward.
The Dayananda Sagar University offers, Master of Computer Applications, a 2 year program to create competent professionals for the rapidly growing Information Technology industry, equipping them with a range of contemporary skills.
The program offers students a sound foundation in the field of computer applications providing detailed knowledge on platforms, standards, applications and computing skills. Topics covered include Distributed Computing, Data Mining, Business Intelligence Technology, Big Data with R, Data Science, Cloud Networking & Security, Cloud Storage, Mobile Application Development Techniques, Computer Vision, Ethical Hacking, Information Security, E-Learning Techniques, Social Network Analysis, Deep Learning, BlockChain Technology and more.
They will also learn about Data Structures, Advanced Operating System, Advanced Software Engineering and Testing, Advanced Algorithms, Java Programming, Computer Communication and Networks, Database Management Systems, AI and Machine Learning, Embedded Systems and Internet of Things and other emerging technologies.
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