Engineering Resilient Cloud & Data Infrastructure.

Architecting complex systems with mathematical precision.

azure-pipelines.yml
1name: radixprime-core-pipeline
2
3on:
4 push:
5 branches: [ "main" ]
6
7jobs:
8 build-and-deploy-azure:
9 runs-on: ubuntu-latest
10 steps:
11 - name: Checkout Repository
12 uses: actions/checkout@v3
13
14 - name: Build & Push Docker Image
15 run: |
16 docker build -t radixprime/core:latest .
17 docker push radixprime/core:latest
18
19 - name: Deploy to Azure Container Apps
20 uses: azure/container-apps-deploy-action@v1
21 with:
22 imageToDeploy: radixprime/core:latest
23 targetPort: 3000
ANSIBLE
AZURE
DOCKER
GITHUB
JENKINS
KUBERNETES
SPARK
Firm Overview

Engineering enterprise complexity. Architecting with mathematical precision.

To architect, develop, and deploy resilient, high-scale software systems for the modern enterprise. We bridge the gap between complex business requirements and robust technical execution by applying rigorous DevOps practices to cloud and Big Data infrastructure.

01.Mathematical Precision

Applying rigorous, algorithmic logic to solve complex architectural challenges, particularly in quantitative environments and highly distributed systems.

02.Engineering Rigor

Governed by the philosophy of "Make it work, make it right, make it fast" to ensure massive data pipelines are built for absolute resilience and fault tolerance.

Core Expertise

Strategic Engineering & Leadership

Strategic Technical Leadership

Driving organizational excellence by bridging the gap between business goals and engineering execution. Specialized in mentoring cross-functional teams, refactoring legacy systems into modern architectures, and implementing Kent Beck's principle: Make it work, make it right, make it fast.

Resilient Cloud Architecture & Pipelines

Architecting high-availability infrastructure with a focus on Azure ecosystem integration and RHEL environments. I specialize in building robust CI/CD pipelines that automate the "Make it right" phase—ensuring security, scalability, and seamless containerized deployments using Docker and Kubernetes.

High-Velocity Data Systems & Environments

Leveraging 20 years of Java expertise to build high-performance data pipelines and Spark-driven ingestion engines. I focus on the "Make it fast" objective—optimizing backend systems for peak efficiency, managing complex data life cycles, and ensuring that high-velocity environments remain stable under enterprise-level loads.

Our Methodology

The Engineering Standard.

01
Make it Work

Discovery & MVP:We stabilize the foundation, ensuring the core architecture is functional and meets business requirements immediately.

02
Make it Right

Refinement & DevOps:We refactor for resilience, implementing CI/CD, security protocols, and Azure-best practices for the long-term.

03
Make it Fast

Optimization:We tune for performance, leveraging Spark and Java optimizations to ensure the system scales with high-velocity data.

Architecting Systems with Financial Logic & Engineering Rigor.

Leveraging two decades of Java mastery and licensed professional engineering to build resilient, high-velocity systems.

Licensed Engineering Standards
Financial Systems Specialization
Enterprise Cloud Architecture

RadixPrime provides senior-level technical consultancy, specializing in high-velocity data environments and resilient cloud infrastructure for enterprise-scale operations.

Bridging the gap between complex business requirements and robust technical execution by applying mathematical precision to cloud and Big Data infrastructure.

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