Serverless Computing Evolves with GenAI, Security, 5G Integration in 2024

Serverless computing lets devs code without server hassles. Code away while the cloud handles the heavy lifting.

By Sunil Sonkar
2 Min Read
Serverless Computing Evolves with GenAI, Security, 5G Integration in 2024

In the tech world, something big is happening – serverless computing is taking the spotlight. This cloud-based model is making waves by letting developers build and manage IT systems without the headache of dealing with servers. It is all about focusing on coding while the cloud handles the rest.

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Serverless started way back in the 1960s with the idea of “utility computing.” Skip to 2008, Google App Engine got things going and in 2014 Amazon’s AWS Lambda made it a big deal, turning serverless into a popular way of doing things.

The trend is not just a blip. It is a full-blown revolution. Market experts predict a whopping $10.5 billion global serverless computing market by 2023, with a rapid growth rate of 33.5% from 2023 to 2030.

What’s making serverless popular? People are loving it because of cloud apps, easy development, saving money and of course connecting with other cloud services like AI, ML and IoT. Analysts even foresee serverless handling 20% of all cloud work by 2025.

But the excitement does not stop there. Enter Generative AI (GenAI), adding a new layer of cool to serverless. It is like a tech champion. It is here to make things faster, work better, save money and make serverless apps super secure with its smart and automated powers.

Developers are cheering for serverless, thanks to features like automatic scaling, pay-per-use billing, high availability, and speedy development – no more worries about resources or infrastructure headaches.

Security is a top concern, but serverless and SaaS providers are offering ready-made security functions, saving time and reducing risk. To follow the rules, it is important to stick to the usual ways – that’s the key to compliance.

Serverless is also teaming up with 5G, bringing real-time applications like AR, VR and autonomous vehicles. With edge computing for faster data analysis and scalability for unpredictable 5G workloads, the future is looking tech-tastic.

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