Top Cloud Computing Trends To Watch Out For In 2020 (Part 1)
Cloud computing is growing at a rapid pace, which means the industry is a little different each day, with lots of new trends emerging every year. We just took a look back at the trends that emerged in cloud computing in the last decade; now let’s take a look at the trends to come.
Here are the top cloud computing trends to watch out for in 2020.
Trend #1: Serverless Computing
Serverless isn’t just a buzzword anymore. According to RightScale’s 2018 State of the Cloud report, it’s actually the fastest-growing cloud service model right now, with an annual growth rate of 75%. With growth figures like that, you can’t ignore the technology anymore.
Serverless computing is a software architecture in which businesses can upload their application to third-party vendors’ servers. These vendors then execute the code, when someone requests it. This means that the code only runs when someone is using it and businesses only have to pay-per-use. This model is known as function-as-a-software (FaaS) and popular players in this industry include Amazon’s Lambda, Microsoft’s Azure Functions, and Google’s Cloud Functions.
Other benefits of serverless computing include:
- Increased scalability: Businesses don’t have to worry about server under-utilisation and scaling up because the third-party servers scale up and down automatically depending on the demand.
- Focus on the front-end: Since developers don’t have to worry about infrastructure, they can focus on the front-end.
- Ease of usage: Vendors like AWS Lambda have made it very easy for developers to get complex web apps up and running within days.
Trend #2: Kubernetes
While Amazon is spearheading the trend of developing serverless web apps, Google is responsible for another big trend in the cloud industry — Kubernetes.
Though Google has its serverless platform called Cloud Functions, it’s still very new and no way as polished as Lambda. So not to be outdone, Google has decided to capture a different market in the cloud industry — the container-based architectures.
Google Kubernetes Engine is an open-source, Linux-based platform that groups containers together and provides a mechanism to manage them.
What’s even more exciting is that Kubernetes is a unique solution to a major problem; in fact, it’s currently the only managed service that’s offered by all of the top 5 cloud service providers, which are Amazon, Microsoft, IBM, DigitalOcean, and VMware.
Another growth factor in Kubernetes’ favour is the fact that it’s open-source. In fact, as of right now, it’s the most popular open-source project on GitHub, second only to Linux. Thousands of independent developers working to improve Kubernetes only a few years after its launch is a major sign of its upcoming growth boom.
Trend #3: Artificial Intelligence
Serverless isn’t the only technology that’s graduating from mostly a buzzword to being a mainstream part of the cloud industry. In fact, artificial intelligence may very well be the most important trend in cloud computing because of one reason: big data.
An IBM study reveals that 65% of organisations believe AI is important for their strategy and success. It’s quite common for companies of all sizes to collect massive data on their consumers every month. This is done to crack the code of consumer preferences, purchasing power, buying habits, and more. Doing all of this manually would be highly inefficient. The solution to this was to train AI models to process all of this data. But there was still a problem.
The biggest users of this technology were legacy companies with insufficient computing power to process all of this and investing in infrastructure was costly. Integrating artificial technology with cloud computing is the solution to this problem.
The much larger infrastructure of established cloud service providers is being leveraged to process big data by large corporations around the world and it’s only starting.
There is another use case of AI in cloud computing — server management. Cloud server providers are investing in AI and Machine Learning technology to improve server management and utilisation for greater efficiency.
Capitalising on These Trends
All of these trends have a direct impact on the scalability of cloud services for enterprises. The ability to scale computing power up and down based on the demand and pay-per-use schemes give companies new incentives to try cloud computing.
If cloud service providers want to capitalise on these new trends, they must be able to identify local trends ahead of time. And for that, they will need real-time and geocentric data — but getting clean primary data that satisfies all of these needs isn’t easy.
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