ITServerless Data Lake Solution
Professional AWS implementation services for scalable, cloud-native data platforms
Radix is a technology company with over 10 years of experience in Cloud Computing, DevOps, Artificial Intelligence, and web/mobile development. It designs serverless architectures, automates infrastructure with Infrastructure as Code, and integrates generative AI solutions. Radix is a member of the AWS Partner Network, with a specialization in data platform modernization.
We deliver comprehensive professional services for implementing enterprise-grade, serverless data lake solutions on AWS. Our team combines over 10 years of cloud architecture and DevOps expertise to build production-ready data platforms that scale automatically with your business needs.
What we deliver: complete data lake implementations featuring automated ETL pipelines, real-time RESTful APIs with OpenAPI documentation, multi-format data support (CSV, JSON, Parquet), and serverless architecture requiring zero infrastructure management. All solutions are built using Infrastructure as Code (Terraform + Serverless Framework) for full reproducibility and version control.
100% Serverless
Pay-per-use model with automatic scaling from zero to millions of requests.
Real-Time APIs
RESTful endpoints with OpenAPI documentation and API key authentication.
Production Proven
Battle-tested in production environments with 99.9% uptime SLA.
Our serverless data lake solution addresses diverse industry needs across public and private sectors, from environmental monitoring to industrial IoT applications.
Environmental Monitoring
Real-time collection and analysis of environmental data from distributed sensor networks. Process meteorological data (precipitation, temperature, wind), air quality metrics and solar radiation. Automated alerts, historical trend analysis, and public API access for citizens and researchers.
Typical scale: 50-500 sensors, 1M+ readings/dayIoT Data Analytics
High-volume IoT sensor data ingestion and real-time analytics for industrial applications. Build real-time dashboards, run complex analytics queries, and integrate with machine learning models for predictive insights and anomaly detection.
Typical scale: 1000+ devices, 10M+ events/daySmart City & Public Services
Centralized data platform for smart city initiatives. Aggregate data from traffic sensors, energy management systems, waste collection services, and public transportation, with public APIs for citizen engagement.
Typical scale: Multi-source integration, public API accessOur solution is built entirely on AWS using serverless technologies, following AWS Well-Architected Framework best practices across all six pillars. The architecture runs 100% in the customer's AWS account with no dependencies on third-party services.
Control Plane - API Management Layer
Content Delivery: Global CDN with TLS encryption and DDoS protection for fast, secure API access.
API Management: RESTful API gateway with authentication, rate limiting, and custom domain support.
Query Processing: Serverless functions for request handling and data retrieval with auto-scaling.
Access Control: Role-based security with least-privilege IAM permissions.
Application Plane - Data Processing & Storage
Data Storage: Scalable object storage with encryption, versioning, and lifecycle management.
ETL Service: Serverless data transformation supporting multiple formats and data quality validation.
Query Engine: SQL interface for ad-hoc queries on petabyte-scale data with partition optimization.
Monitoring: Centralized logging, metrics, and alerting for all system components.
Key Capabilities: Event-driven architecture with automatic triggers • Real-time and batch data ingestion • Automated schema discovery and metadata management • Multi-format support (CSV, JSON, Parquet, ORC) • Infrastructure as Code for full automation • Multi-environment deployment (dev/staging/prod) • GDPR and data residency compliance • Cost optimization through serverless and lifecycle policies
Our professional services are designed for organizations requiring scalable, secure, and cost-effective data platforms. We serve clients across public sector, technology companies, and enterprise organizations.
Government & Public Agencies
Environmental protection agencies, meteorological services, smart city initiatives, and research institutions requiring transparent and auditable data systems.
Large-scale data collection and distribution, public API access, regulatory compliance (GDPR, data residency in EU), high availability.
ARPAS Sardinia - Regional Environmental Protection Agency managing 100+ monitoring stations.
IoT & Technology Companies
IoT platform providers, sensor manufacturers, data analytics companies, and SaaS providers requiring high-volume data processing capabilities.
High-volume data ingestion, real-time data processing, scalable API infrastructure, fast query performance (sub-second latency).
Centralized data platform for distributed sensor networks and IoT devices.
Enterprise Organizations
Utilities companies, telecommunications providers, manufacturing operations, and agriculture enterprises requiring operational data platforms.
Enterprise-grade reliability and security (99.9% SLA), multi-source data integration, advanced analytics capabilities, seamless integration with existing systems.
Operational data warehouse for business intelligence and reporting.
Ideal Customer Characteristics: Processing 10GB-10TB+ data per month • 1,000-1M+ API calls per day • AWS as primary cloud provider • Looking to modernize legacy systems or build new data platforms • European Union focus (GDPR compliance) • Small to large enterprises with significant data requirements
We deliver complete, production-ready data lake solutions through a structured 6-phase approach. Our team works as an extension of your organization, combining our AWS expertise with your domain knowledge to ensure successful implementation.
Phase 1: Discovery & Planning (1-2 weeks)
Requirements gathering, use case analysis, data source identification, and architecture design.
Deliverables: architecture proposal, technical specification, project plan.
Phase 2: Infrastructure Setup (2-3 weeks)
AWS account configuration, Infrastructure as Code with Terraform, security setup, and CI/CD pipeline implementation.
Deliverables: deployed infrastructure, IaC codebase, CI/CD pipelines.
Phase 3: Data Pipeline Development (3-4 weeks)
ETL pipeline implementation with AWS Glue, data ingestion mechanisms, Athena table setup, and query optimization.
Deliverables: working ETL pipelines, data catalog, optimized queries.
Phase 4: API Development (2-3 weeks)
RESTful API design and implementation, Lambda function development, and OpenAPI/Swagger documentation.
Deliverables: production APIs, API documentation, authentication system.
Phase 5: Testing & Optimization (1-2 weeks)
Integration testing, performance optimization, security audit, and compliance review.
Deliverables: test reports, optimization recommendations, security assessment.
Phase 6: Deployment & Handover (1 week)
Production deployment, monitoring configuration, and knowledge transfer sessions.
Deliverables: production system, complete documentation, training.
Project Timeline & Scope
Small Projects (< 10 data sources): 6-8 weeks
Medium Projects (10-50 data sources): 10-12 weeks
Large Projects (50+ data sources): 14-20 weeks
What's Included: all projects include full source code ownership, complete Infrastructure as Code, comprehensive technical documentation, OpenAPI specifications, a post-deployment support period, and optional ongoing maintenance packages.
Case Study: ARPAS Environmental Agency
Client: ARPAS Sardinia (Regional Environmental Protection Agency) - A public sector organization responsible for environmental monitoring across the Sardinia region.
Challenge
Modernize legacy data infrastructure to handle real-time data from 100+ distributed weather stations. Requirements included public API access, automated data processing, multiple data format support, and GDPR compliance.
Solution
Implemented a fully serverless data lake processing 8 environmental data types. The solution includes 24 RESTful API endpoints, automated ETL with AWS Glue, and Amazon Athena for SQL queries.
Results
99.9% uptime • 10x faster query performance with Parquet optimization • Zero infrastructure management overhead • 60% cost reduction compared to previous infrastructure.
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