Making use of the cloud environment is a key part of a firm’s digital transformation strategy. But simply storing data is not the priority. Having the ability to easily scale resilient software is the requirement of firms.
Discover the 4 key trends that are shaping cloud-native development.
These trends have the potential to revolutionize the cloud computing landscape.
Serverless Computing with Servers
While transferring applications and data to the cloud has made management easier, it has put an increased burden on maintaining the ever-growing cloud infrastructure.
With serverless computing, there are still servers. However, these are no longer managed by developers. Instead, the cloud service vendor is responsible for managing cloud infrastructure.
The primary benefit is that it frees up time and resources for developers to focus on writing codes with brilliant logic.
There are many platforms that can enable serverless computing. Some examples are Azure Functions by Microsoft and AWS Cloud by Amazon.
With time, these platforms will be able to seamlessly integrate with other cloud services and could cater to multiple programming languages.
Integrating Edge Computing
Internet of Things (IoT) devices are those that are connected to the cloud and can transfer data to other devices through the internet or other networks.
There is a growing increase in the number of such devices. As a result, a larger amount of data is being generated.
Thus, being closer to data and having faster access to it can present many benefits to firms. Here, edge computing plays a role by processing and analyzing the data close to the source rather than transferring it to a centralized data storage facility.
The primary benefit is reducing the latency and bandwidth issues.
Also Read: Cost-Saving Strategies with Cloud Computing
AI and Machine Learning for Cloud Computing
AI has been seeding itself into business operations at an exponential rate. Naturally, cloud-native development has benefitted from speedier functionalities for more streamlined data-based decision-making.
They complement each other by tackling issues such as data accessibility and computing power limitations. Additionally, it helps with automating processes which further reduces burden on humans and frees up workforce for more critical tasks.
Prioritizing Security
With the growth of cloud-native architecture, the complexity behind maintaining and updating it proportionally increases. Along with this, firms develop an enhanced focus on security.
This is specifically to secure points such as data in transit or microservices that display vulnerability to attacks or leaks.
Here, security tools like Kubernetes security policies along with vulnerability scanning tools play their role in providing and enhancing security.