nClouds AWS Case Study
M.J. Engineering
nClouds Secures AWS Infrastructure, Optimizes Operations
“Working with nClouds was not only a positive experience on the technical front but also in terms of their professionalism and commitment to excellence.”
— Michael Pianka —
Associate Director of Software Development, M.J. Engineering
Benefits Summary
Streamlined Scalability
Increased Cost-Effectiveness
Introduced Reproducible Environments
Enhanced Development Productivity
About M.J. Engineering
M.J. Engineering and Land Surveying, P.C. specializes in 3D laser scanning and 360-degree photography. They collect extensive data through scanning and photography and have developed a sophisticated web application. This application allows users to virtually explore different locations, much like Google Street View or Matterport’s real estate virtual tours, with a strong focus on data-heavy operations and the critical need for scalability.
Industry
Location
United States
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Challenge
The Challenge: Expert Guidance for AWS Cloud-Native Optimization Post-Migration
M.J. Engineering had already taken the crucial step of migrating its infrastructure from on-premises to the cloud, recognizing the need for scalability given its data-intensive operations. However, after the initial migration, they identified a need for expert guidance to optimize their AWS environment for true cloud-native performance, efficiency, and scalability. They sought a partner who could help them refine their AWS setup, ensuring it was both scalable and cost-effective while supporting their unique data-heavy web application.
Strategy and Solution
Comprehensive AWS Well-Architected Review and Managed DevOps by nClouds
M.J. Engineering partnered with nClouds, a certified AWS and DevOps consulting provider, to fine-tune their cloud infrastructure and achieve optimal performance.
nClouds provided a tailored solution that included:
- Serverless and Stateless Architecture: nClouds implemented a serverless and stateless approach. This minimized costs by ensuring functions and resources only ran when required, eliminating idle infrastructure expenses.
- Content Delivery Network (CDN) and Caching: The use of a CDN and efficient caching improved the performance of M.J. Engineering’s data-heavy application, reducing latency and enhancing user experience.
- Infrastructure-as-Code (IaC): nClouds introduced an Infrastructure-as-Code implementation. This enabled M.J. Engineering to easily replicate environments (development, staging, production), ensuring consistency and serving as comprehensive documentation for the entire infrastructure.
- Automated Deployment Pipelines: Automated deployment pipelines were established to facilitate smooth and rapid code changes and infrastructure updates. This allowed developers to push changes to environments with ease, ensuring quick feedback and efficient development workflows.
- Scalability and Efficiency: The architecture was designed to efficiently handle large amounts of data and easily scale up or down based on demand, providing a seamless experience for users.
Introduced Reproducible Environments
Infrastructure-as-Code enabled easy replication of environments, ensuring consistency across development, staging, and production, and serving as vital documentation.
Enhanced Development Productivity
Automated deployment pipelines facilitated quick and smooth code changes, allowing developers to focus more on innovation and less on manual deployments.
Streamlined Scalability
The cloud-native infrastructure ensures the application can handle massive data loads and scale efficiently with demand, providing a seamless user experience.
Increased Cost-Effectiveness
By adopting a serverless and stateless approach, M.J. Engineering minimized costs by only paying for resources when actively in use, leading to greater financial efficiency.