Cloud configuration and maintenance
AWS, Azure and Custom LAMP
Behind every functional application or digital system is reliable cloud infrastructure. We deploy, configure, and maintain scalable AWS environments tailored to each client’s technical footprint. From EC2, RDS, and S3 to more complex container-based and serverless architectures, we ensure that our clients’ platforms are built for performance, security, and long-term growth.
Case Studies:
Case Study: AWS hosting for Education Clients
Client Overview
This client (White labeled) is a design and marketing agency that supports clients including educational institutions like Bladen Community College. They needed a stable, centralized hosting platform for a wide array of school websites.
The Challenge
They required a solution that could:
- Reliably host dozens of WordPress sites
- Simplify server and resource management
- Allow for centralized control via a familiar toolset
Requirements
We deployed a stable and centralized AWS setup that leverages cPanel to manage a large number of WordPress installations effectively.
AWS Server and WordPress Stack
- Amazon EC2 (Large): Hosts cPanel and manages shared resources
- Amazon RDS (Large): Serves as a high-performance, centralized database
- WordPress CMS: Simple, accessible platform for content management
- They requested cPanel: Enables shared hosting and server admin via a user-friendly interface
Support Services
- WordPress and plugin maintenance
- Backups and uptime monitoring
- DNS and email service management
- Server patching and security updates
Results
- Stable hosting for dozens of school sites
- Ease of use for internal teams via cPanel (client choice)
- Cost-effective, centralized resource management
Conclusion
Basebuild’s AWS implementation for this client ensures their education clients receive dependable, easy-to-manage hosting with plenty of room to grow.
Case Study: Events.com Server Support
Client Overview
The Events.com (SpinGo was our primary project) infrastructure was complex and under strain. A mix of depreciated systems (like “Engine” and “Q”), redundant data pathways, and fragile server dependencies introduced instability and inefficiency.
The Challenge
- Crashes and stalls in key services like the Engine
- Data syncing issues between systems (e.g., Salesforce, venue records, approval queues)
- Overreliance on outdated record-processing flows with poor searchability and visibility
- Manual server and deployment workflows with high failure risk
- Inefficient use of AWS resources leading to inconsistent uptime and response times
Our Solution
- Basebuild stepped in as an external DevOps partner to audit, manage, and optimize SpinGo’s AWS infrastructure. Key contributions included:
- AWS Infrastructure Optimization: Improved EC2, RDS, and S3 configurations; ensured redundant, scalable, fault-tolerant environments using AWS best practices
- CI/CD with Jenkins and Salt-Stack: Designed and maintained automated pipelines for staging and production using Salt-Stack for provisioning and Jenkins for deployment automation
- Monitoring and Recovery: Integrated CloudWatch monitoring, enabled automated instance recovery, and set up logs aggregation across services like ElasticSearch and RabbitMQ
- Environment Cleanup: Helped decommission unstable services (e.g., the “Engine”) and consolidate functionality into the Q system to reduce confusion and system overlap
- Support & Stability: Ongoing server management, load testing, and incident response during large promotional campaigns
Results
- 99.99% uptime achieved across all production-facing services
- Improved server response times during major events
- CI/CD pipeline cut deployment time
- Reduced engineering workload related to infrastructure, freeing devs to focus on features
- Salesforce and venue sync issues resolved, improving record integrity and reducing QA burden
Why it Matters
With Basebuild’s help, SpinGo transitioned from a patchwork of fragile systems to a unified, resilient infrastructure backed by strong DevOps automation. The platform scaled smoothly, operated with stability, and significantly reduced technical debt—unlocking better user experiences and more confident internal operations.
Case Study: Cost Conscious AWS Hosting
Client Overview
WhichMat.com is a free service used by thousands of Brazilian Jiu-Jitsu competitors and coaches to track mat assignments during tournaments worldwide. With live data requirements and a need for scalability, WhichMat.com was developed by Basebuild to deliver a cloud-native solution that is both fast and affordable.
The Challenge
The platform needed to:
- Automatically pull and process tournament data from external sites like IBJJF and others
- Keep operational costs low while maintaining high uptime and performance
- Separate responsibilities between the user-facing app and backend scrapers
- Deliver static assets and API responses quickly to a global user base
Smart Server Architecture with Serverless Flexibility
We designed and deployed a hybrid infrastructure that balances cost-efficiency with performance, allowing us to scale services as needed and minimize AWS expenses.
Architecture Breakdown:
Main Application Stack
- AWS ELB > ASG > EC2: Load-balanced and auto-scaling EC2 architecture to serve the Laravel-powered web application.
- AWS RDS (MariaDB): Relational database for tournament data with performance and backups.
- S3 + CDN: Efficient static asset delivery.
- Vue.js to build a reactive, component-driven frontend for the WhichMat dashboard, enabling dynamic data updates and a smooth user experience.
Scraper Stack
- AWS Lambda: Python scrapers using BeautifulSoup and Selenium under the free tier.
- AWS EC2 (Horizon Queue Worker): Handles Laravel job queues and background scraping tasks.
- AWS RDS: Shared database for scraper and main app.
AWS Services in Use
- EC2, RDS, Lambda, Fargate (Optional), S3 + CDN, CloudWatch, ECR / ECS
Support Services
- Continuous AWS monitoring, updates, and tuning
- Security patching and infrastructure hardening
- Backup scheduling and disaster recovery setup
- Deployment management and CI/CD pipeline assistance
- Performance optimization and cost review
Results
- Zero scraping cost due to AWS Lambda’s free tier
- Scalable and elastic infrastructure for tournament peak traffic
- Reduced AWS bill via EC2 reserved instances
- Clean separation of frontend and scraping backend
Conclusion
With Basebuild’s help, WhichMat runs a lean, modern infrastructure ready to scale. The platform reliably delivers critical live updates to users while keeping costs under control.
Case Study: Scalable AWS Infrastructure
Client Overview
FlowJo is a leader in flow cytometry analysis software, supporting researchers and institutions globally. Their platform and website require continuous uptime, fast content delivery, and the flexibility to evolve with user demand.
The Challenge
FlowJo’s digital presence required:
- High availability for global users across various time zones
- Efficient handling of media files and documentation
- Scalable infrastructure to support platform growth and new product launches
- Ongoing backend support without burdening internal development teams
Robust AWS Infrastructure with CMS Flexibility
We engineered a reliable server environment hosted on AWS and powered by a CMS that balances performance, speed, and customization.
AWS Server and Laravel Stack
- Amazon EC2 (Elastic Compute Cloud): Hosts the October CMS environment with scalable instances to manage site traffic and updates seamlessly.
- Amazon RDS (Relational Database Service): Manages structured content data with fast, secure, and scalable access for dynamic site content.
- Amazon EFS (Elastic File System): Externalized file storage allows for consistent file access across multiple EC2 instances, supporting load balancing and redundancy.
- October CMS: A Laravel-based content management system known for performance and flexibility.
- Laravel Framework: Forms the foundation for clean, secure, and scalable backend logic.
Support Services
- Continuous AWS monitoring, updates, and tuning
- Security patching and infrastructure hardening
- Backup scheduling and disaster recovery setup
- Deployment management and CI/CD pipeline assistance
- Performance optimization and cost review
Results
- Reliable global performance with near-zero downtime
- Efficient content management for internal teams using October CMS
- Future-ready architecture capable of supporting new product rollouts
- Reduced internal maintenance with Basebuild as ongoing infrastructure partner
Conclusion
FlowJo’s trust in Basebuild to manage and evolve their AWS infrastructure has resulted in a faster, safer, and more scalable web presence. With a solid technical foundation in place, their team can stay focused on innovation in the life sciences space.
