Learn How Gsoft Transformed Cloud Operations for a Visionary Tech Company

Posted: June 23, 2021

• 4 Min Read

The client, a visionary tech company, sought to revolutionize cloud management by developing a cutting-edge platform that simplifies operations and enables full automation for virtual machines and databases. Choosing Gsoft Cloud Management Console was a transformative solution empowering the client to achieve their objectives and enhance overall efficiency in the rapidly evolving digital landscape.

Our Client

Cloud infrastructure helps businesses streamline operations, scale, and improve efficiency. Our client, a visionary tech company, wanted to establish a cutting-edge platform that would automate cloud management and allow users to easily register, create, and administer virtual machines and databases. They wanted to simplify deployment, reduce infrastructure expenses, and improve user experience. They chose Gsoft Cloud Management Console, a web-based platform for managing cloud resources like virtual machines, databases, and storage, after a thorough examination.


To cater to the needs of the client, the Gsoft team had to implement a Cloud Native Development approach with containerization and Kubernetes to the Gsoft Cloud Management Console. This brought forth a range of challenges for the Gsoft team. The team grappled with microservices management and ensured seamless integration with the Kubernetes API. They navigated complexities while developing a user-friendly interface and robust CI/CD pipeline to fulfill the client's aspirations.

  1. The complexity of Cloud Native Development: Adopting a Cloud Native Development approach with containerization and Kubernetes proved to be complex, requiring the team to invest time and effort in understanding these technologies thoroughly. They had to tackle the intricacies of containerization, Kubernetes, and Amazon Elastic Kubernetes Service (EKS) to ensure a smooth transition and operation of the platform.
  2. Microservices Architecture: Developing and managing microservices in a coherent manner presented challenges as well. The team had to ensure effective communication and coordination between microservices while maintaining data consistency and integrity.
  3. Containerization Challenges: Containerization also brought its own set of challenges. The team had to address issues related to container weight, security, and management. Establishing container best practices, monitoring, and security measures was essential to overcome these obstacles.
  4. CI/CD Pipeline Complexity: Setting up a reliable and efficient CI/CD pipeline using Jenkins proved to be complex. The team needed to configure automated testing, continuous integration, and continuous deployment to streamline the development and deployment process.
  5. Kubernetes Operator Development: The team had a hard time making their own Kubernetes Operators automate the creation and control of virtual machines and databases. Operators had to be trustworthy, effective and well-integrated with Kubernetes.
  6. Integration Challenges: Combining the Kubernetes API with the user-friendly interface was difficult. The team had to deal with possible changes to the API version and problems with compatibility.
  7. Scalability and Performance: Scalability and performance are crucial considerations as the platform was hosted on AWS using EKS. The team had to ensure proper resource allocation, load balancing, and auto-scaling mechanisms were in place to handle increased user demands.
  8. Security Considerations: Security was of paramount importance. The team implemented strong security practices to protect user data, container images, and sensitive information stored within the platform.
  9. User Experience and Usability: Developing a user-friendly interface required a deep understanding of user needs and preferences. The team conducted thorough usability testing and gathered feedback from users to ensure an intuitive and efficient interface.
  10. Training and Onboarding: Additionally, introducing a new platform and architecture required training and onboarding sessions for both development teams and end-users. The team ensured a smooth transition and adoption of the platform by providing the necessary training and support.


To achieve the desired objective of the client, Gsoft successfully implemented a Cloud Native Development approach, capitalizing on containerization and Kubernetes. The new architecture was built around microservices, containerized using Docker, and orchestrated through Kubernetes, with Amazon Elastic Kubernetes Service (EKS) hosting the platform on Amazon Web Services (AWS).

The Gsoft development team embraced a DevOps methodology and deployed a robust CI/CD pipeline using Jenkins. This automation enabled them to streamline the deployment process, building, testing, and deploying code to the Kubernetes cluster in a repeatable and automated manner.

One pivotal decision was to utilize Kubernetes Operators, specialized extensions for automating complex, stateful applications. Gsoft's team created custom Operators for virtual machines and databases, empowering users to create and manage these resources via a user-friendly interface effortlessly.

The user interface was meticulously designed using a modern web framework, ensuring a responsive and intuitive experience. Integrating the interface with the Kubernetes API provided users with centralized control over their cloud resources through a single interface, culminating in a seamless and efficient cloud management platform.


The adoption of the new Cloud Native architecture for the Gsoft Cloud Management Console brought remarkable benefits to the client. The platform exhibited enhanced resilience, scalability, and cost-effectiveness. Leveraging the microservices approach enabled the client to accelerate the development and deployment of new features with remarkable efficiency.

Utilizing Kubernetes and Operators significantly enhanced the automation and user-friendliness of the platform. The client could effortlessly register and create virtual machines and databases through a streamlined interface with full automation. The incorporation of a CI/CD pipeline facilitated rapid and seamless feature releases and updates with minimal downtime.

Containerization and Kubernetes further streamlined the deployment process, ensuring greater efficiency and repeatability. Embracing the DevOps methodology fostered better collaboration, enabling faster feature delivery and heightened overall performance.


Get Know More About Our Services and Products

Reach to us if you have any queries on any of our products or Services.

Subscribe our news letter