eInfochips Cloud-Native Development Services

eInfochips helps organizations design, develop, and deploy robust cloud-native applications on AWS by leveraging microservices, serverless, containerization, managed cloud databases, modern API frameworks, and reference architectures tailored to industry use cases. Our approach ensures technological agility, lower TCO, continuous delivery, and faster time-to-market.

eInfochips cloud-native engineering teams enable customers to:

• Build scalable, modular, and maintainable applications using microservices and serverless patterns.
• Modernize monolithic applications into cloud-optimized and container-orchestrated architectures.
• Accelerate development using industry-specific templates, reusable IP, and AWS-aligned reference architectures.
• Ensure interoperability and real-time data exchange through secure, documented APIs.
• Deploy high-availability SaaS/PaaS platforms with CI/CD automation.
• Build and scale secure IoT platforms leveraging AWS IoT Core, device management, and analytics workflows.

What We Offer

1. Architecture and Platform Engineering (SaaS/PaaS): Design and implementation of scalable, multi-tenant SaaS and PaaS platforms on AWS. Includes multi-tier cloud architecture, domain-driven design (DDD), AWS Well-Architected alignment, API-first design, identity management, and tenant isolation strategies.

2. Microservices and Serverless Application Development: End-to-end development of microservices-driven and event-driven architectures. Capabilities include service decomposition, containerized workloads, asynchronous messaging, Lambda-based workflows, API orchestration, and automated deployments.

3. Containerization and Kubernetes Enablement: Modernize and containerize legacy or new workloads for Amazon EKS, ECS, or Fargate. Includes Dockerization, Kubernetes deployments, service mesh integration, autoscaling, observability, and CI/CD pipeline implementation aligned with AWS standards.

4. API Development, Integration and Data Management: Design, development, and lifecycle management of APIs for seamless system and data integration. Covers API gateways, GraphQL/REST services, data ingestion pipelines, cloud-managed databases, streaming workflows, schema design, and secured data access patterns.

5. IoT Platform Development: Comprehensive IoT platform engineering using AWS IoT Core, IoT Device Management, and IoT Analytics. Includes device connectivity, digital twins, edge-to-cloud data flows, real-time dashboards, OTA updates, and secure device lifecycle management.