Case Studies

Site Analytics Solution for Non-Profit Visitors' Privacy

We implemented an analytics solution for Women's Directory, a CO-based 501(c)3 non-profit who needed to analyze site visitor data without compromising the privacy of their users. Monsters built a feature that empowered admins to extract key metrics for grant applications. We continue to work with Women's Directory to build solutions that help their organization help women in need.

Modernizing Development Practices During a Cross-Cloud Migration

Amazon Web Services (AWS)

Google Cloud Platform (GCP)

Google Kubernetes Engine (GKE)

We migrated a client's microservices from several AWS accounts to a single GCP environment. We containerized legacy codebases, established Kubernetes clusters, and built a GitOps workflow designed for developers to manage their own deployments. This unified cloud empowered engineers to deploy rapidly and gave business leaders critical insight into cloud resource usage and costs.

Enabling Novel Products: Cloud Compiler Powering IoT Devices

Amazon Web Services (AWS)

Flask (web framework)

iOS

Python

We built a cloud service to compile firmware for a hardware consulting firm's IoT devices which served as a key differentiator for their consumer-facing product line. The service allowed users to write code and program IoT devices from their iOS and Android devices. Hosted on AWS Fargate, this solution scaled to serve the product through its entire sales lifecycle.

Unifying Microservices Deployment in an Enterprise Telecom Environment

Amazon Web Services (AWS)

We containerized various legacy applications into a single deployment pipeline and migrated them into a corporate Kubernetes cluster. This gave the client's operational teams full visibility into the software and ensured it ran in a manner compliant with company policy. Feature velocity increased dramatically as engineers became empowered to deploy their own code to production.

Streamlining Legacy Processes: Reducing Manual Intervention in Critical Tasks

We rebuilt a business-critical but problematic daily system synchronization process for an HR startup. Our solution improved process reliability, improved resilience to runtime errors, and empowered engineers to proactively address issues. This resulted in significantly fewer overtime hours for the operations team in charge of this process.

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