Trends in Cloud

The strengthening of internal and external security

Cloud computing is being used by more and more businesses throughout the world. As cloud technology is becoming more prevalent in business, cyber security has come into question. While some people believe cloud computing is more secure, others believe that it is less secure than on-premises security infrastructure. However, the increase in hybrid cloud solutions has made companies realize that managed vendor clouds and on-premises solutions both need tight security measures. The growing number of malware and ransomware attacks has only elevated this need. Furthermore, organizations are realizing that security threats can result from internal negligence and external malfeasants alike.

The most detrimental threat of using cloud computing is data loss. IDC, a global intelligence firm, found that 79% of companies had experienced at least one cloud data breach within an 18-month period. Whether it be malware attacks or natural disasters that cloud service providers are not prepared for, it is likely that a business can lose money and reputation from a severe data security breach. The second most harmful threat of using cloud technology is malware. According to McAfee Labs, there was an average of 588 threats per minute during the third quarter of 2020, ending at 648 threats per minute in the final quarter. As cybercriminals become stronger, the need for strong internal and external security has increased.

Even though there are a variety of threats to businesses that use the cloud, there are also a variety of ways to maintain security while benefitting from the valuable resources that the Cloud offers. The most effective way to maintain security while using cloud computing is to choose the right cloud service provider and service model. It is vital to choose a reputable, secure provider by asking security-related questions in the selection process. Furthermore, it is useful to conduct frequent risk assessments to determine potential threats and how to deal with them. Finally, a company should use managed security service providers (MSSPs) and a better organizational policy for user access management instead of relying on native security features.

Serverless Cloud

Cloud computing services have been gaining popularity over the past five years, especially following the start of the COVID-19 pandemic and the rise of remote work, and the need for an increased online presence by businesses. Cloud computing services currently range in what they offer their consumers, from server maintenance to entire software applications provided to their users. However, recently and in the near future, serverless computing will soon rise to become the most known of all types of cloud computing services.

Serverless cloud computing, also known as Function-as-a-service (FaaS), allows software developers to develop applications and deploy an individual function, piece of business logic, or action without server maintenance. It increases overall efficiency as developers do not need to consider the server since it is hosted externally in its entirety. Serverless cloud technology streamlines the workloads of companies by  automating some of the more tedious tasks and helping to maintain the overall server infrastructure. Incorporating serverless cloud technology gives businesses more flexibility in terms of storage and bandwidth without restrictive pricing.

It is no surprise then that, according to Sharegate, “companies are implementing serverless cloud technology at a rapid rate. Research from Mordor Intelligence indicates that we can expect the demand for serverless technologies to grow 22.6% between 2021 and 2026.” Serverless cloud technology allows companies to limit wasteful spending since they do not have to spend on server maintenance. Instead, all they have to do is spend on the cloud computing services that they need. In doing so, they avoid wasting time and increase productivity since time does not have to be spent on maintaining and customizing a server to fit business needs.

Overall, serverless cloud computing is proving to be a growing trend in cloud computing services. It is clear to see that the market for it is growing and is already strong, and it will soon become to future of cloud computing.

AI in Cloud Computing

AI and cloud computing are two of the hottest trends in the tech world, and it’s no surprise that they’re starting to intersect. AI-powered cloud services are still in their infancy, but they have the potential to revolutionize the way we interact with data. The two trends form a somewhat symbiotic relationship. AI services are increasingly being delivered via the cloud, with cloud computing providing the perfect platform for AI applications to maximize efficiency with scalable infrastructure and pay-as-you-go models. AI, in turn, is being used to power many of the latest innovations in cloud computing, such as serverless computing and self-healing systems. As AI and cloud continue to evolve, they will become even more intertwined, driving new levels of efficiency and innovation in the tech industry.

So what are some ways that cloud and AI are overlapping?

  • AI-powered storage: Cloud storage providers are using AI to optimize their offerings and improve performance. For example, AI can be used to identify which data should be stored locally for faster access and which can be stored remotely for cost savings.
  • AI-powered networking: Cloud networking providers are using AI to eliminate network congestion and improve performance. AI can be used to automatically route traffic based on real-time conditions, ensuring that data always takes the shortest and fastest path.
  • AI-powered security: Cloud security providers are using AI to help protect data from sophisticated attacks. AI can be used to identify unusual patterns of activity that might indicate an attempted breach and then take appropriate action to block or quarantine the suspicious data.
  • AI-powered analytics: Cloud analytics providers are using AI to help organizations make better use of their data. AI can be used to detect patterns automatically and predict future trends. By making it easier for organizations to extract value from their data, AI is helping to drive the adoption of cloud-based analytics solutions.


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