Case Study 2: Automating SaaS Deployment for a Supply Chain Customer
Client Profile
Client Name: SupplyChain X (Active Confidentiality Agreement)
Industry: Supply Chain Management
Project: Automated SaaS Deployment
Location: United States
Challenge
SupplyChain X, a prominent player in the supply chain management industry, faced a significant challenge: automating the deployment process for their SaaS platform, which comprised over 15 microservices running on a Kubernetes infrastructure. The objectives were clear: achieve scalability, cost-efficiency, security, and comprehensive observability for their complex system.
Solution
To meet these challenges head-on, SupplyChain X engaged Zoolch, a trusted partner in project consultancy and implementation, to design and execute a robust solution. The Zoolch team meticulously crafted a solution to address each of the client’s objectives.
- Network Topology and Connectivity
- Load Balancer and Route53: Zoolch designed a network topology that leveraged a load balancer for efficient traffic distribution and Amazon Route 53 for DNS hosting, ensuring reliable and seamless connectivity for the system.
- Compute Layer
- AWS Amplify: For hosting frontend components, AWS Amplify, a managed service, was chosen, providing a scalable and cost-effective solution.
- AWS Elastic Kubernetes Service (EKS): To manage the backend microservices, Zoolch implemented AWS EKS, offering scalability and high availability.
- Data Layer
- RDS (Relational Database Service): For structured Postgres data, RDS was selected to ensure data integrity and reliability.
- DocumentDB: To store unstructured and flexible data, DocumentDB, a MongoDB-compatible NoSQL database, was employed.
- Amazon S3: For storing logs and related content, Amazon S3 offered a scalable and reliable solution.
- Observability and Monitoring
- Prometheus: An open-source system monitoring and alerting toolkit, Prometheus, was implemented to provide in-depth insights into system health and performance metrics.
- Grafana: To enhance observability, Grafana was integrated, offering visually appealing dashboards and alerts.
- Logging and Analytics
- ELK Stack: To achieve effective logging, the ELK stack (Elasticsearch, Logstash, Kibana) was deployed. Elasticsearch served as a robust search and analytics engine, Logstash facilitated data ingestion and transformation, and Kibana provided a user-friendly interface for log data visualization and analysis.
- Security and Compliance:
- CIS Compliance: The implemented solution successfully passed CIS compliance tests, demonstrating the commitment to a secure environment for SupplyChain X’s operations.
- High Availability and Scalability: The system was designed with high availability and scalability in mind, ensuring it could efficiently handle increased traffic and meet growing demands.
- Infrastructure as Code (IaC):
- Terraform: To ensure consistency, reproducibility, and simplified management of system components, the Zoolch team adopted Terraform, a popular infrastructure as code (IaC) tool. This approach enabled efficient scaling, updates, and ensured the system remained in a desired state.
- Project Execution: Led by a dedicated team comprising two resources and a project manager, the project was completed within a span of four months. The successful implementation of the DevOps project empowered SupplyChain X to automate their deployment process, achieve scalability and cost-efficiency, maintain a secure environment, and gain comprehensive observability into the performance of their system.
Outcome
The Zoolch team’s expertise and diligence played a significant role in driving the success of this project. SupplyChain X now enjoys a seamlessly automated SaaS deployment process that meets their scalability, security, and observability needs. This project exemplifies how effective project consultancy and implementation can lead to transformative results in complex, technology-driven environments, ultimately enhancing business operations and customer satisfaction.
