Case Studies

About: A company known for its expertise in developing Enterprise resource planning (ERP) solutions focusing on industries like retail, distribution, and manufacturing. Particularly, it’s ERP software that integrates tools and modules to streamline operations, and manage resources in an effective way. Challenge: The organization’s on-premises infrastructure presented significant initial expenses and lacked the flexibility needed to keep pace with evolving market requirements. Continuous hardware maintenance and upgrades added pressure to operational costs. Their objective was to improve efficiency, promote teamwork, and adjust to market shifts while keeping expenses in check. Solution: In response to the organization’s challenges, a comprehensive migration and modernization project leveraging Amazon Web Services (AWS) was proposed for a seamless transition to a Software as a Service (SaaS) model. The proposed solution involved migrating data via CloudFormation using its templates to modernize the process and ensure minimal downtime and disruption. Employing a serverless architecture for the frontend and containerized architecture for the backend offers scalability, flexibility, and ease of maintenance. Additionally, a serverless application model was adopted for its pay-per-execution feature, aiding in cost optimization. The objective was to eliminate upfront capital expenditure, reduce operational expenses, and provide the organization with a scalable and reliable infrastructure. Outcomes: AWS Services in the Solution made:

A forward-thinking company started a life-changing journey to switch from an old, one-piece application design to a new, cloud-native method using Amazon Web Services (AWS). The goal of this project was to improve the company’s working flexibility, ability to grow, and system resilience. This case study looks at the project’s strategic approach, how technology was used, and its important results, focusing on how important control methods were during the cloud migration and operational phases. Why control is important? Control in this cloud-native context means being able to manage, watch, and enforce rules throughout the lifecycle of a program and its infrastructure. Control is important for many reasons, including: Seamless Deployment and Management Security and Compliance: Makes sure that the infrastructure and applications meet government and business standards. Cost management helps keep prices within the budget by keeping an eye on and making the best use of resources. Quality Assurance: Makes sure that the codebase and application installations are correct and of high quality. Operational Stability: This lets problems be predicted and stopped before they affect the system. Putting in place good control systems makes sure that the move to a cloud-native design not only meets the needs of current operations but also follows best practices and governance models that help the company grow and come up with new ideas. Solution Overview The solution centered on adopting a cloud-native architecture with AWS, emphasizing automation, microservices, and DevOps practices. Control mechanisms were integrated into each phase to ensure security, compliance, efficiency, and quality. Infrastructure as Code (IaC) with Terraform How Control Was Implemented: Version-controlled IaC with Terraform allowed for the automation of infrastructure provisioning. This way, environments were consistent and adhere to predefined configurations. The setup facilitated audit trails and rollback capabilities. Outcome: Achieved not only consistency and repeatability in deployments but also ensured compliance and security from the ground up. How Control Was Implemented with Amazon Elastic Kubernetes Service (EKS) Kubernetes policies and Amazon EKS configurations were used to enforce runtime policies, manage resource quotas, and ensure container security best practices. Outcome: Enhanced control over application deployment, scaling, and management, leading to improved scalability and system resilience. CI/CD Pipeline with Integrated Controls Tools Used: GitHub for version control, AWS CodeBuild for build and test processes, AWS CodePipeline for continuous deployment, and Amazon ECR for secure image storage. How Control Was Implemented: Automated testing, code reviews, and deployment approvals were integrated into the CI/CD pipeline. Infrastructure changes and application deployments were subjected to automated compliance checks and security scanning. Outcome: Ensured the integrity and security of the codebase and infrastructure changes, streamlined development workflows, and maintained high deployment quality. Data Management with Amazon RDS and Control Measures Automated backups, encryption at rest and in transit, and database access controls were implemented to ensure data security and compliance. Outcome: Enhanced data reliability, security, and scalability, with reduced administrative burden. Operational Monitoring and Control with Amazon CloudWatch Utilized Amazon CloudWatch for comprehensive monitoring, setting up alerts based on performance metrics and logs to proactively manage system health and performance. Outcome: Enabled real-time visibility into operations, facilitating proactive issue resolution and performance optimization. Concluding Insights Concluding Insights The project showed how cloud-native architectures can completely change infrastructure, especially when they are paired with strict control systems that are used during all stages of moving to the cloud and running it. The company improved the project’s agility, scalability, and resilience by building control measures into every part of it, from setting up infrastructure with Terraform to monitoring operations with Amazon CloudWatch. This also made sure that the cloud-native ecosystem was secure, compliant, and ran smoothly. This all-around method to moving to the cloud is a good example of how to use cloud technologies to help businesses grow and innovate in the future.

About The Customer A leading independent software developer in Turkey specializes in crafting custom ERP and store software solutions for retail, wholesale, and manufacturing sectors. With over five decades of experience and a strong presence in 30+ countries, they enable efficient business operations and resource optimization for clients across diverse industries. Collaborating closely with Solution Partners, they cater to a wide range of business needs, from individual stores to multinational corporations. Customer Challenge The customer faced significant challenges with their monolithic application and legacy infrastructure, which hindered their agility, scalability, and resilience. Updating or modifying the monolith required intricate coordination and extensive testing, impeding development speed. Moreover, the legacy infrastructure lacked the flexibility and sturdiness needed to handle varying demands and potential failures efficiently. Additionally, reliance on outdated systems posed risks in terms of security vulnerabilities, maintenance complexities, and escalating operational costs. Partner Solution In response to the customer’s challenges, we implemented a comprehensive suite of solutions aimed at modernizing their infrastructure and application architecture. First, we used Terraform to provision infrastructure as code, ensuring consistency and repeatability across their AWS environment. This approach allowed us to efficiently manage resources and configurations, streamlining the deployment process and reducing the risk of human error. Next, we deployed Amazon EKS (Elastic Kubernetes Service) to orchestrate containerized microservices, breaking down the monolithic application into smaller, more manageable components. By embracing microservices architecture, we enabled the customer to achieve greater agility, scalability, and resilience. EKS provided a reliable and scalable platform for running containerized workloads, allowing for seamless scaling in response to fluctuating demand and enhanced fault tolerance to minimize downtime. For continuous integration and continuous delivery (CI/CD), we integrated GitHub with AWS CodeBuild and CodePipeline to automate the build, test, and deployment processes. CodeBuild was utilized to compile, test, and build container images, which were then pushed to Amazon ECR (Elastic Container Registry). CodePipeline orchestrated the release process, pulling source code changes from GitHub, triggering builds with CodeBuild, and deploying containers to EKS. This streamlined CI/CD pipeline increased application velocity, allowing for faster iteration and deployment cycles while ensuring the reliability and consistency of releases. Results and Benefits The implementation of cloud-native practices on AWS yielded significant results and benefits for the customer. Firstly, it enhanced application velocity and agility, allowing for faster development cycles and more rapid response to market demands. Secondly, the scalability and resilience of the infrastructure were greatly improved, enabling seamless scaling to meet changing demand and enhanced fault tolerance to minimize downtime. Additionally, the adoption of automated CI/CD pipelines streamlined the release process, improving operational efficiency and ensuring consistent and reliable deployments. Overall, these outcomes led to increased competitiveness, innovation, and efficiency for the customer.