It is time to capitalize on software engineering techniques of using cloud-native computing.
Spending on public cloud services is on track to achieve over 20% growth in 2022, totaling a gigantic $494.7 billion. In 2021, this figure was $83.8 billion. Market experts are predicting that this figure could reach $600 billion by the middle of 2023.
Surprisingly, the term ‘Cloud Computing’ is still missing from the Oxford Dictionary, being a popular buzzword in the last ten years in the world of technology. The advent of cloud computing came with large IT firms using it to create online tools in 2006. It can simplify repetitive or redundant tasks for users, reducing turnaround times by offering convenience to users.
In the last twenty years, we saw how quickly companies like Amazon Web Services, Google Cloud, Microsoft Azure, etc. have grown and ruled the cloud environment. One of the key benefits of cloud computing is that it brings third-party integration, encouraging a flexible approach to application design.
Cloud-Native – The New Normal?
Cloud-native computing is all about capitalizing on software-making procedures that exclusively cater to the virtual environment. These consist of microservices, agile frameworks, containers, etc. It essentially makes scaling up easier for new private and public environments by combining declarative APIs, microservices, containers, etc. Furthermore, by integrating automation techniques – these systems become highly resilient, easily manageable, high-performance, and efficient.
Cloud-native tools have a lot to offer to Java developers. These developers can use Java cloud-native tools to adapt their code to suit the cloud environment easily. This can offer unprecedented acceleration to businesses and bring new solutions to the market instantly.
Main Components of Cloud-Native Architecture
Containers first came around 2004 with Solaris with minimal use. Then in 2013, we got Docker which had more functionality to offer. These days we have Kubernetes, which came into the market in 2014.
This Google offering is an open-source product and is highly popular among developers. To limit memory bottlenecks in Java applications, we can even use micro-containers.
Microservices are another component that is integral to cloud-native systems and work well with containers as they share a similar approach.
The Native Image Kit (NIK) is another essential component that helps with the conversion of JVM applications into compiled executables having negligible startup time.
The Cloud-native JDK Runtime component is what completes the entire system by making the application smoother and improving run-time metrics.
Conclusion
The main philosophy of cloud computing is that there should be overall synergy between system components. This is where, AWS (Amazon Web Services) excels by offering multiple tools for cloud migration services, operations, containers, etc.
More companies in the future would invest in cloud computing to improve application run times, save costs, and get higher speed & efficiency. The technology is still in its infancy, as there are still many players that do not have all possible cloud-native variants under a single roof.
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