Micro Service-Based, Containerized, & Server Less Applications in Cloud

Abstract

The use of cloud-based software solutions has become increasingly popular in recent years. As a result, the use of microservices-based, containerized, and server less architectures for the deployment, management, and scaling of cloud-based applications has grown in popularity. This review paper provides an overview of containerized, server less architectures, and microservices in cloud-based applications. It demonstrates how containers provide a lightweight and portable approach to package apps and their dependencies, as well as how microservices involve dividing an application into smaller, independent services. Server less computing is also discussed, which enables programmers to create and execute applications without managing infrastructure. The benefits and limitations of server less, containers, and micro service architectures in cloud based applications are covered in this research. It explains how combining these technologies can result in adaptable, scalable, fault-tolerant applications that also solve security issues. The paper underlines the significance of developing scalable applications from the outset and offers best practises for protecting and monitoring these distributed architectures. The article also looks at new trends and technologies that could influence how these technologies are used in cloud-based applications in the future. Overall, it provides a thorough review of these technologies\' potential for creating effective and potent cloud-based applications.

Introduction

Cloud computing has rapidly evolved with the rise of microservices, containerization, and serverless architectures, fundamentally changing how applications are designed, deployed, and managed.

• Microservices architecture breaks down applications into small, autonomous services communicating via APIs, offering benefits like scalability, agility, and resilience but increasing complexity in management and monitoring.

• Containers package applications and their dependencies into portable, lightweight units, enabling consistent deployment across diverse environments. They enhance portability and isolation but add challenges in orchestration and networking.

• Serverless computing allows developers to focus on writing code triggered by events without managing infrastructure, offering cost savings and automatic scalability. However, it introduces issues such as cold-start latency, vendor lock-in, and limited control over the environment.

The paper discusses deployment strategies, including use of orchestration tools like Kubernetes and Docker, and highlights best practices such as designing around business capabilities, using lightweight protocols, securing all components, automating testing and deployment, and adopting cloud-agnostic approaches to avoid vendor lock-in.

Challenges include increased complexity, security risks, dependency management, performance issues, debugging difficulties, and potential vendor lock-in.

Looking ahead, the future will see greater adoption of Kubernetes, expansion of serverless architectures, continued growth of microservices, integration of AI/ML, increased focus on observability, and stronger emphasis on security.

These architectures represent the future of cloud computing by providing flexibility, scalability, and cost efficiency, but require careful planning and management to maximize benefits and mitigate risks.

Conclusion

In conclusion, micro service-based, containerized, and server less applications have transformed the way we build, deploy, and operate applications in the cloud. These technologies provide organizations with the ability to build scalable, resilient, and flexible applications that can quickly adapt to changing business needs. Kubernetes has become the de-facto standard for container orchestration in the cloud, and we can expect its adoption to continue to rise in the future. Server less computing has gained a lot of popularity in recent years, and we can expect server less architectures to become even more prevalent in the future. Microservices have become a popular architectural style for building cloud-native applications, and we can expect their adoption to continue to grow. As AI and machine learning become more prevalent, we can expect them to play a key role in micro service-based, containerized, and server less applications. Observability has become increasingly important in these applications, and we can expect more emphasis on observability in the future. Hybrid and multi-cloud strategies have become increasingly popular, and we can expect micro service-based, containerized, and server less applications to play a key role in enabling seamless application portability across different cloud environments. Finally, security is a critical concern for any application running in the cloud. We can expect greater emphasis on security, with organizations investing in tools and processes to ensure the security of their micro service-based, containerized, and server less applications. In summary, micro service-based, containerized, and server less application are here to stay, and they will continue to transform the way we build, deploy, and operate applications in the cloud. Organizations that embrace these technologies and invest in the necessary tools and processes will be well-positioned to take advantage of the benefits they provide.

References

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Copyright

Copyright © 2025 Rupinder Kaur, Roopi , Mandeep Kaur. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.