Cloud Computing

Strategic Cloud Solutions for Unrivaled Agility, Performance, Security & Scalability

Cloud Computing

SNOA Solutions delivers enterprise-grade Cloud Computing services that architect a resilient, scalable, and secure digital infrastructure. We specialize in providing end-to-end cloud solutions, from strategic consultation and migration to continuous management and optimization. Our services are built on a deep understanding of core cloud models, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS), enabling us to design bespoke architectures that align with your specific operational and business requirements.

We leverage a multi-cloud and hybrid approach, integrating leading platforms like AWS, Azure, and Google Cloud, to ensure flexibility, mitigate vendor lock-in, and optimize cost-efficiency. Our focus is on creating a cloud environment that not only enhances performance and agility but also prioritizes security, compliance, and data governance. We implement robust disaster recovery protocols, automated provisioning, and real-time monitoring to guarantee business continuity and operational excellence, allowing you to focus on innovation while we manage the underlying complexity of your cloud infrastructure.

Cloud Computing Projects

Elastic Microservices Architecture for a Global E-commerce Platform

An international e-commerce client required a robust, highly available, and cost-effective solution to manage unpredictable traffic spikes, particularly during seasonal sales events. SNOA Solutions re-architected their monolithic application into a microservices-based, serverless architecture on a hybrid cloud platform (AWS and on-premise). We implemented an auto-scaling policy for Amazon EC2 instances and leveraged AWS Lambda for non-persistent workloads. A dynamic load balancer was configured to intelligently distribute traffic across multiple availability zones, ensuring zero downtime even during peak loads of over 100,000 requests per minute. To address cost, we implemented a tiered storage strategy, migrating cold data to Amazon S3 Glacier, which resulted in a 40% reduction in monthly cloud expenditure without compromising data accessibility. Our automated CI/CD pipelines, managed through Jenkins, enabled continuous deployment and rollback, ensuring rapid scalability and operational resilience.

Data Lake and Analytics Platform with Automated DR and Backup

A fintech company needed a secure and scalable platform to ingest, process, and analyze petabytes of financial data. SNOA Solutions designed and deployed a comprehensive data lake using Google Cloud Platform. We utilized Google Cloud Storage for raw data ingestion and structured the data using BigQuery for fast, serverless analytics. To ensure data integrity and business continuity, we implemented a fully automated Disaster Recovery (DR) and backup strategy. Our solution leveraged Google Cloud’s managed services, including Cloud Storage lifecycle management for automatic object versioning and archiving. We configured cross-region replication for mission-critical data, ensuring a Recovery Point Objective (RPO) of near-zero and a Recovery Time Objective (RTO) of less than 30 minutes. This automated system eliminated manual backup processes, significantly reducing administrative overhead and ensuring immutable data retention policies were met.

Hybrid Cloud Integration and DevOps Automation for a Healthcare Provider

A large healthcare network needed to modernize its infrastructure while maintaining strict data sovereignty and compliance requirements (HIPAA). SNOA Solutions designed a hybrid cloud solution, migrating non-sensitive applications to a public cloud (Azure) while keeping critical patient data and core applications on-premise. We established a secure, low-latency connection using Azure ExpressRoute, creating a seamless operational environment. To ensure uninterrupted performance, we implemented a containerization strategy with Kubernetes, allowing for dynamic resource allocation and horizontal scaling based on real-time traffic. We further enhanced operational efficiency by developing Infrastructure as Code (IaC) using Terraform, which automated the provisioning, configuration, and management of all cloud resources. This reduced deployment times by over 80% and minimized human error, demonstrating a sophisticated, compliance-focused, and highly automated approach to hybrid cloud management.