By Paul Matthews | The technological evolution of the computing sphere has expanded significantly in the past couple of years, with many new technologies merging to improve specific features of a particular application. Cloud computing is one big part of this evolution, given that hardware storage has become somewhat obsolete. Let’s explore the current state of cloud computing.
A machine learning-based architecture
The CoT (Cloud of Things) has always raised many questions related to its security and accessibility, especially after the recent breakthroughs in modern, sophisticated platforms like Google and Facebook.
CoT refers to everything which combines a physical data storage to its cloud-based ‘alter-ego.’ To improve the security of cloud computing and storage applications, many companies and developers have been relying on Python-based features to better the issue.
Python-coded features are all the small or big instances within the application which are programmed in Python–the coding language which is native to machine learning–to automate them. In this case, automating targeted security functions such as logins and CAPTCHA would save much time and improve the user’s experience.
Google has recently admitted how Drive implemented a second level verification process, which is entirely Python-based, to confirm that the entity who’s trying to access the data has the authority to do it. From a security perspective, machine learning seems to be a powerful addition to the old, manual verification process when accessing data.
Processing power: Rendering
The significant aspect which separates modern cloud computing from the old paradigm relates to the processing power of many cloud architectures. To better understand processing power, it’s important to touch on an example.
An example is Geforce Now, the newest NVIDIA technology which lends the user an entirely cloud-based arsenal of virtual graphics cards with (almost) no latency. Although still in its beta version, this states how targeted Cloud Computing is in 2019: these pieces of software want to compete against their physical counterparts.
Accessibility on mobile
Mobile isn’t just an appendix of desktop anymore. In 2018, the overall mobile traffic on internet peaked at almost 65% (Statista). As a result, many companies decided to ‘transpose’ a lot of desktop-oriented features into the mobile world and, given the lack of processing power within the mobile industry (the hardware still isn’t as powerful as desktops), moving those into a cloud architectural setup was the first choice who came to mind to many developers.
In the UK, in particular, which was recently elected as the European technological powerhouse, with double the investments compared to Germany, many app developers stated how powerful cloud-related features have been within their architectural building process.
We can safely say that cloud computing will be a huge developmental trend in the next couple of years, leading to a pivotal architectural building process that is likely to become the next industry standard. Machine learning is going to impact this sector–another massive confirmation of how automation is changing every single technological sphere. It’s also an exciting time for the savvy developer who wants to approach cloud computing and its related technologies from a business perspective.
About the Author
Paul Matthews is a Manchester based business and tech writer who writes in order to better inform business owners on how to run a successful business. He’s currently consulting the biggest technical due diligence company in Manchester. You can usually find him at the local library or browsing Forbes’s latest pieces.