Migrating VM to Kubernetes for
End-to-End Automation

AI ChatBot Interactions for Fundraising Platform


9Team Size

Product BasedIndustry

Netsmartz’s expertise facilitated the seamless transition of a product-based company from virtual machines to Kubernetes, leveraging Terraform, GitHub Actions, and Amazon EKS for end-to-end automation.

About The Company

The client, a product-based company, recognized the need to modernize their infrastructure and embrace Kubernetes for enhanced scalability and automation. Seeking a reliable DevOps partner, they approached us to guide their transition from virtual machines (VMs) to Kubernetes while ensuring end-to-end automation.

About Evertrue

The Tech Stack







Team Composition

7 Developers, 2 DevOps Engineers

The Problem Statement

The client’s reliance on traditional virtual machines hindered their ability to scale efficiently, resulting in resource limitations and potential performance bottlenecks. The client faced the challenge of bridging the expertise gap and ensuring a successful migration without disrupting their operations. Automating the end-to-end deployment pipeline, including infrastructure provisioning, testing, deployment, and monitoring, presented a significant challenge.

The Challenge

While undertaking this endeavor, we recognized multiple challenges like:

  • Ensuring that all elements of the cluster were reproducible and aligned with best practices required a strategic approach, especially given the complexity of Kubernetes configurations.
  • Migrating applications from traditional VMs to containerized environments involves potential compatibility issues, data transfer challenges, and the need for rigorous testing.
  • Ensuring that applications functioned correctly within Kubernetes and addressing any migration-related issues was a key challenge.

The Solution

Netsmartz orchestrated a comprehensive solution encompassing VM to Kubernetes migration, end-to-end automation using Terraform and GitHub Actions, and harnessing the power of Amazon Elastic Kubernetes Service (EKS).

  • We initiated the engagement by thoroughly assessing the client’s existing infrastructure and business requirements. We devised a migration plan and automation strategy tailored to their needs based on the analysis.
  • Leveraging Terraform, we designed infrastructure as code templates to define the Kubernetes cluster infrastructure on AWS EKS. This approach ensured consistent and reproducible infrastructure provisioning.
  • We set up GitHub Actions workflows to automate the CI/CD pipeline. From code commits to deployment, testing, and monitoring, the workflows streamlined the development process and enforced best practices.
  • Our team migrated the client’s applications to Amazon EKS, leveraging Kubernetes’ orchestration, scaling, and resource management capabilities. EKS provided the foundation for their containerized environment.
  • Rigorous testing and validation were conducted to ensure the successful migration of applications, seamless scaling, and adherence to operational requirements.

Our Process

Netsmartz followed the following process to fulfill the requirements of the client:

Mapping & Identifying Appropriate Resources

At Netsmartz, we conducted a detailed analysis of the project’s scope and requirements to determine the appropriate resources to be assigned to the project.

Team Engagement

The team was provided training for a week before they started working with the client. This involved understanding the client’s niche and requirements. The learning curve enabled them to generate 95% accuracy.

Consistent Client Feedback & Action

At Netsmartz, we prioritize listening to our client’s feedback and concerns. We responded promptly to client feedback, acknowledging receipt and providing action updates. This allowed us to maintain a strong client relationship and ensured that we addressed any concerns or issues they may have promptly and effectively.

The Result

Netsmartz successfully migrated the client’s VMs to Kubernetes, ensuring uninterrupted operations and harnessing Kubernetes’ scalability. Employing Terraform and GitHub Actions, we automated processes from provisioning to monitoring. Dynamic scaling in Kubernetes optimized resource use, while Terraform enhanced reproducibility. Prometheus and Grafana provided real-time insights, expediting issue resolution. The automated CI/CD pipeline accelerated development, culminating in a seamless transition to Kubernetes, elevated operational efficiency, and a robust foundation for ongoing innovation in product development.


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