Are you developing an AI-powered application but unsure whether Flutter or .NET MAUI is the right framework for your project? The decision you make can significantly impact performance, scalability, and development efficiency, so it’s essential to choose wisely. Both Flutter and .NET MAUI offer strong cross-platform development capabilities, but they have distinct differences when it comes to AI model support, …
Google Cloud Consulting
Keyhole Software helps nationwide clients embrace Google Cloud technologies through custom modernization, migration, and cloud-native development consulting services. Services include:
Cloud Strategy & Consulting: Assess your current infrastructure and create a tailored cloud adoption strategy, ensuring that GCP meets your organization’s unique requirements.
Cloud Migration: Seamlessly transition to Google Cloud. Our team excels in migrating existing applications and infrastructure using approaches like lift-and-shift, re-architecting, and re-platforming.
Cloud Native Development: We design and develop applications using microservices, serverless computing, and containerized deployments tailored to GCP’s robust ecosystem.
Optimization & Cost Management: Maximize efficiency while reducing costs. We monitor resource utilization, identify optimization opportunities, and implement cost-saving measures to get the most value out of GCP.
Transforming Insurance Operations with a Full-Stack Data Solution
A team of six highly skilled Keyhole Software developers collaborated to deliver a robust full-stack solution for an advanced insurance platform tailored to enhance efficiency and user experience for insurance agents. The platform, developed in partnership with Brightway Insurance, integrated cutting-edge technologies like .NET and React to build scalable, maintainable, and high-performing applications. Client Focus Keyhole Software played a pivotal …
Navigating GCP IAP: Local and Deployed Development with .NET and React
I’m currently working on several cloud-native projects hosted on Google Cloud Platform (GCP) that use .NET for the API and React for the UI. These projects rely on GCP’s Identity-Aware Proxy (IAP) to handle authentication, which occurs before any requests reach the Application Load Balancer or the application itself.
While GCP’s IAP offers robust security benefits, configuring a .NET and React application to work seamlessly with it—both locally during development and when deployed to a Cloud Run instance as a Docker container—proved to be more challenging than I expected. The available documentation and resources for this setup are sparse and often fragmented, making it difficult to piece together a clear solution.
This blog post is my way of sharing the lessons I’ve learned along the way. By outlining the steps and solutions that worked for me, I hope to save others from the trial and error I experienced and provide a clearer path for integrating GCP IAP with .NET and React applications.
RAG Architecture Pattern Explained
In the software development space, RAG solutions are being used to enhance productivity and streamline processes. By indexing and searching the entire codebase of a project, these solutions provide relevant, context-aware results from an LLM. Instead of simply suggesting code snippets, RAG-based tools can analyze and generate entire use case implementations across multiple programming languages. The result is a significant boost in productivity, enabling software teams to work faster and more efficiently.