IoT - Full Stack Development

Cloud Computing

Cloud Computing

Companies moving to the cloud experience better in time-to-deployment, increased process efficiency and dramatically lower IT costs due to optimal resource utilization.

We help clients build, maintain and integrate applications on platform as a service (PaaS) technologies such as Amazon Web Services, Windows Azure, Google and IBM.


Like every journey; the journey towards cloud environment produces its own unique challenges and opportunities. We help you navigate through them by helping prepare a clear roadmap to ensure that your organization maximizes the opportunity

  • Cloud Readiness assessment & Preparation: Preparation of business models, target-state envisioning, cloud optimized architecture, target application platform, mapping preparing business case, roadmap and financial benefits of cloud adoption
  • Reengineer IT Applications & IT skills towards Cloud nativity: Articulate new processes built on Agile, DevOps, Auto Scalable Infrastructure and IT automation to prepare for a new of delivering solutions for your clients

Hybrid Cloud

  • While there are several compelling reasons (both technical & financial) to move business applications to the cloud; the reality is that not all IT task is right for the cloud. There may be regulatory or business demands / concerns that may stop some applications from being good candidates for cloud
  • But this does not mean that all other applications should also be grounded. The Hybrid Cloud is the game changer here, allowing you to best utilize both public and private cloud and leverage the best of what each has to offer. The public cloud can be used for non-sensitive IT applications and the private cloud for the sensitive ones. This can be achieved in an agile, flexible and cost-effective manner. If you would like to know more about Hybrid Cloud and its advantages and disadvantages we are here to help

Custom Application Development

We have expertise with all major Cloud providers

  • Serverless Architecture: AWS Lambda, Azure Functions, Google Cloud Functions
  • Integration: AWS SQL, Azure Relay Service, IBM WebSphere
  • Database: SQL, NoSQL, Big Data, Blob & Object File Storage, AWS Glue & Azure Data Factory
  • Testing: Applications & Integrations

Cloud IoT & Analytics

  • Device Gateway - Azure IoT Hub, AWS IoT, IBM Watson IoT
  • Gateway Protocols - MQTT, AMQP, Websocket, HTTP/REST
  • Azure Power BI, AWS QuickSight, Azure and AWS ML
  • API Gateway - Azure API Management, AWS API Gateway, Google Cloud End Points, IBM API Connect

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