Cloud Enablement Solutions

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.

We can able to develop 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 application availability, visibility, and agility. This allows you to deliver outcomes that cost less, having lower risk, and with faster response times.

Journey of Cloud Migration

  • Like every journey, the journey towards the cloud environment produces its 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. etc
  • We help you navigate through them by preparing a clear roadmap using a three phased approach that maximizes your benefits. And able to deliver it in maximum way possible.

Custom App Development

  • Integration: AWS SQL, Azure Relay Service, IBM WebSphere
  • Serverless Architecture: AWS Lambda, Azure Functions, Google Cloud Functions
  • 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,, API Gateway, etc)
  • Database: Decide the type of DB (SQL or NoSQL Or a 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

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/concernsdemands / 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 the Hybrid cloud and its advantages and disadvantages we are here to help.

Cloud Service Expertise

  • Gateway Protocols – MQTT, AMQP, Websocket, HTTP/REST
  • Device Gateway – Azure IoT Hub, AWS IoT, IBM Watson IoT, Apache ActiveMQ
  • 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