Clearly
Internet Retailer, E-commerce
Cloud: AWS | Microsoft Azure
Tech Stack: Terraform | Packer | Ansible | AWS CLI | NodeJS | Python, Java Springboot | Spring Cloud | AWS Lambda, AWS application load balancer, AWS TGW | AWS Control Tower | TLS | Jenkins | Github Action | Azure | Azure CLI | Azure VMs | AWS EKS | HashiCorp Vault | HashiCorp Terraform | Kubernetes | Istio | OpenShift | Microsoft SLQ Server | EC2 Autoscaling
A pioneer in e-Commerce Clearly launched their first site in 2000 selling contact lenses. Within a few years, they began offering a curated selection of designer glasses and sunglasses, driven by a passion to bring prescription eyewear to people who often found it out of reach. By 2012, Clearly has sold more than 1.2 Billion in retail eyewear sales.
The purpose of the project was to build a scalable, resilient, production-ready digital infrastructure to handle a load of peak hours in any scenario. Scalability, high availability, disaster recovery, agility, and accessibility were crucial to the implementation of the project.
The project duration was eight months.
Well-designed digital infrastructure
Workload can be scaled up or down seamlessly based on demand
A high level of resilience and security
Excellent user experience
47 percent reduction in operational costs
The primary challenge was the lack of robust, reliable, well-architected cloud infrastructure that would allow Clearly to operate and support its clients. Limitations on scale, security and loss of revenue were forcing Clearly to seek alternative solutions. Clearly had previously struggled with a mix of on-premises and Rackspace infrastructural challenges. Consequently in the scope of modernization and scalable business growth, they decided to move their workload to AWS.
Based on our discovery session, our solution architect suggested migrating the application, refactoring and improving it in AWS according to the roadmap he designed for the application. The process started with lifting and shifting the environment to a secure, scalable PCI- and SOCII-ready AWS account using the AWS Migration hub with CloudEndure.
In stage two, our engineers focused on the correct sizing of the servers and adding more instances to server pools behind the F5 load balancer. In the meantime, we imported all servers and configurations into HashiCorp Terraform infrastructure as code and Ansible for configuration management.
In stage three of the migration, our cloud experts optimized the workload and created an autoscaling group to scale out infrastructure and improve user experience during the peak time of the year.
In the design process for new digital infrastructure, our engineers created a new blueprint for the AWS environment, ensuring compliance with PCI V3, SOCII, and ISO 27001. SEYA Group delivered automated provisioning of infrastructure components and services using Hashicorp Terraform infrastructure as code (IaC) and Ansible for configuration management.
We migrated all servers from RackSpace to AWS, enabling auto-scaling and F5 configuration for all auto-scaling servers. SEYA Group designed, implemented, and maintained an efficient, highly scalable hybrid cloud agnostic CICD pipeline using Jenkins pipeline as code, Github for AWS, Azure, and an on-premises data center.
SEYA Group designed and implemented service discovery using HashiCorp Consul. From there, we implemented AWS Secrets Manager to enhance sensitive data security, and created a hybrid data security management using HashiCorp Vault. Overall, we delivered production HA, DR, and highly scalable, multi-region solutions.
Our well-designed digital infrastructure allows Clearly to seamlessly scale the company workload to desired volumes. It features excellent resilience and security, bringing historic, record-breaking sales to the company.
The new AWS hybrid environment reduced operational costs by 47 percent and increased peak-season revenue by 390%
Reduced Operational Cost
Optimized Workload
Enhanced Security and Resilience
Infrastructure Scalability
Increased User Experience
The project achieved its goals:
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