• Meeting the real-time information and response demands of customers
  • Wrestling with existing point-to-point connections that are not advertised, undocumented or poorly designed
  • Managing multiplicity of heterogeneous (and sometimes complex) applications, databases, devices and endpoints
  • Bridging resources that are legacy and modern, on-premises and cloud, static and mobile, remote and local
  • Handling systems that are constantly generating and exchanging information
  • Catering to DevOps workflows like continuous integration and continuous deployment


At Celstream, with nearly two decades of experience in delivering product engineering services for diverse and complex products and apps, we understand what it takes to implement enterprise integration of your applications, data and devices as part of your digital transformation strategy.

Our product engineering services teams are experienced in integrating heterogeneous systems like edge devices, on-premises solutions, mobile apps, cloud applications and third party enterprise systems.

digital transformation, product engineering services, mobility, web applications, enterprise integration, machine learning, big data analytics, Web UX, digital payments, digital interfaces, cloudification, social media integration
  • Identifying the right enterprise service bus (ESB) platform for Enterprise Integration, like AWS Step Function®, Amazon Simple Workflow Service®, Azure® Logic Apps, MuleSoft®, etc.
  • Building business model workflows and implementing them for the identified ESB platform. This can be graphically created in tools like Azure Logic Apps or AnyPoint™ Studio
  • Leveraging pre-built connectors provided by the ESB platform or building custom connectors as required by the systems being connected together
  • Identifying, configuring and implementing integration technologies, protocols, and authentication mechanisms. These involve HTTP/HTTPS, REST APIs, Graph API, OAuth2
  • Implementing schema and data validation modules using industry standard protocols

AWS Step Function and Amazon Simple Workflow Service

  • Building distributed applications and their workflows using Amazon SWF, AWS Step Functions, AWS Batch®
  • Using Amazon Simple Queue Service® and Amazon MQ to pass messages between applications reliably and securely
  • Building applications with AWS Flow Framework for Java®
  • Building hybrid applications whose steps run in cloud and on-premise
  • Integrating legacy and third-party cloud services into applications by using an existing Web service as a worker
  • Implementing tasks using AWS Lambda® functions or programs running on Amazon EC2® or in Elastic Container Service
  • Implementing a state machine comprising of tasks, sequential steps, parallel steps, branching paths (choice), and/or timers (wait)
  • Integrating Step Functions APIs with methods in Amazon API Gateway
  • Integrating physical tasks into the application, such as approval requests and responses
  • Using Amazon CloudWatch® to collect and track metrics, set alarms, and automatically react to changes in workflow steps
  • Scaling task fleet in response to CloudWatch metrics and visibility APIs

Azure Logic Apps

  • Implementing server-less solution to optimize costs and maintenance requirements
  • Leveraging existing connectors or develop custom connectors
  • Visually building or automating complex processes using Logic Apps Designer from Azure portal or Visual Studio®
  • Leveraging prebuilt templates and workflows for faster solution deployment
  • Using Enterprise Service Bus for connecting disparate systems across environments like BizTalk®, SAP®, etc. using Azure Enterprise Integration Pack
  • Supporting industry standard protocols such as EDIFACT, AS2, and X12 for Enterprise Application Integration and Enterprise Data Interchange standards
  • Implementing Seamless B2B communication using Agreements and Certificates between Host and Guest Partners
  • Implementing Complex Data Transformations, Protocol encoding/decoding, Schema Validations using XML and JSON
  • Deploying logic apps as templates to reuse and reconfigure apps across environments
  • Extending with Custom Connectors and On-demand Azure Functions
  • Integrating with other server-less Azure services like Azure Flow and Azure Functions
  • Integrating with Azure API Management, Database systems, Azure Service Bus and Azure Web Jobs to build a complete end-to-end cloud solution for enterprise
  • Adopting CI-CD integrated with Visual Studio Online/Desktop for DevOps based development practices


  • Design, development expertise in ESB/API solution using Anypoint Studio™
  • Managing users, analyze traffic, and secure APIs with policies using Anypoint API Manager™
  • Building connectors, implement data and application integration flows using Anypoint Design Center
  • Deploying and managing all Mule® applications from one central location, whether your apps are running in the cloud or on-premises using Anypoint Runtime Manager
  • Saving, sharing, discovering, and reusing APIs, connectors, and templates using Anypoint Exchange
  • Building custom connectors using Anypoint Connectors™ DevKit
  • Designing and implementing Mule Transactions, Message Filters, Message Translators, Scatter-Gather integration patterns
  • Using Standard Mule Connectors like HTTP, FILE, Database, JMS, SalesForce®, etc. as part of Integration Usage
  • Publishing enterprise grade APIs using RAML
  • Transforming complex data formats using DataWeave™
  • Publishing Mulesoft applications to CloudHub™ and on-prem Mule® enterprise deployments
  • Unit testing and Integration testing of APIs and Mule apps using MUnit