Cloud Enablement

Cloud Enablement

Cloud plays an important role in any end-to-end IoT solution development. Cloud enablement is the process of creating, deploying and operating some or most of an organization’s IT infrastructure, software and resources through the cloud. Cloud enablement shifts in-house IT to a public, private or hybrid cloud environment.

Gadgeon has helped many customers by developing solutions necessary to determine the right cloud strategy for customer’s organization, develop a plan, and realize its vision with a secure network and IT infrastructure and optimized cloud solution. We start off by working closely with you in understanding your current process and the business problem you are trying to solve. We then devise a customized solution that maximizes applications availability, visibility and agility. This allows you to deliver outcomes that cost less, having lower risk, and with faster response times.

Like every journey the journey towards cloud environment produces its own unique challenges as well as opportunities. Our cloud migration strategy addresses the functional as well as non functional requirements like modularity, scalability, and security to reduce future reworks and ensures higher value on investment for our clients. We help you navigate through them by preparing a clear roadmap using a three phased approach that maximizes your benefits.

Cloud Migration Journey

Assessment Phase: Main objective of this phase is to prepare a roadmap and plan for the proposed cloud enablement journey. Main activities involved are developing cloud strategy, scope and goals. This is followed by detailed planning and design of cloud migration process to be followed. The scope, dependencies, outcome measures, and infrastructure requirements are identified and planned. 

Transformation Phase: In this phase the actual migration to cloud gets executed using our two pronged approach. Applications are re-hosted or re-deployed (Lift and shift) or re-designed or re-factored (Rewrite and decouple) using an iterative approach and leveraging DevOps. The applications are validated for functionality and performance in the target environment. After validation through established release process, application cutover and decommissioning is executed.

Operations Phase: In this phase the transitioned applications get executed in the new environment and incidents if any are handled. The applications are continuously optimized with monitoring and continuous integration and deployment.

We have expertise with all aspects of custom cloud application development.

  • 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
  • Application Architecture : Microservice Architecture , Serverless Architecture, Monolithic Architecture, SOA Architecture
  • Cloud Services/Components Design: Cloud host providers (AWS or Google Or Azure etc), IaaS or PaaS Or Containers
  • Technology selection: Programming language selection (Java, C#, Node.js, PHP, Javascript etc), Framework selection (Spring, Express.js, Angular, React.js etc)
  • Integration: Protocol selection (MQTT, AMQP, WebSockets, REST API etc), Gateway services/components (Azure IoT Hub, AWS IoT, IBM Watson IoT, Apache ActiveMQ, Socket.io, API Gateway etc)
  • Database: Decide the type of DB (SQL or NoSQL Or combination of SQL and NoSQL DBs), Select appropriate DB (Postgresql, Oracle, Cassandra, MongoDb, Cosmos DB, Dynamo DB etc), DB Design and Data Modeling, DB optimization
  • Maintenance and Support:
  • Testing: Integration Testing, Regression Testing, Load/Stress testing, Security Testing
  • 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 ideal 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.
  • Device Gateway - Azure IoT Hub, AWS IoT, IBM Watson IoT, Apache ActiveMQ
  • Gateway Protocols - MQTT, AMQP, Websocket, HTTP/REST
  • API Gateway - Azure API Management, AWS API Gateway, Google Cloud End Points, IBM API Connect
  • Notification Services - Notification Hub, AWS SNS, Firebase Cloud messaging, PubNub
  • Infrastructure As A Service(IaaS): AWS EC2, Google Compute Engine, Azure Virtual Machine, DigitalOcean Droplet, Rackspace
  • Platform As A Service(PaaS): Elastic Beanstalk, Google App Engine, Azure App Services, IBM BlueMix
  • Data As A Service(DaaS): Amazon RDS, Dynamodb, ElastiCache, Azure Cosmos, Azure SQL, Google Cloud SQL, Cloud Bigtable, Cloud Memorystore, Firebase Realtime Database, MongoDB Atlas, Oracle Data Cloud, AWS Glue, Azure Data Factory
  • Storage As A Service (STaaS): File Storage (AWS EFS, Azure Files, FUSE), Object Storage (Azure Blob, AWS S3, Google Cloud Storage), Archive/Infrequent access storage (Amazon Glacier, Google Archival Cloud Storage, Azure Archive Storage)
  • Function As A Service(FaaS): AWS Lambda, Azure Functions, Google Cloud Functions, IBM OpenWhisk, Docker
  • Software As A Service (SaaS): SalesForce, Twilio

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