Application Integration on Azure: the Gist
Application integration on Azure means connecting your cloud and on-premises applications through Microsoft Azure services — things like API Management, Azure Event Grid, Azure Logic Apps, and more.
It’s the natural path forward if your organization already runs on Microsoft software, uses anything within the Azure ecosystem, or needs an integration setup flexible enough to handle what off-the-shelf tools like MuleSoft or Boomi simply can’t do for you.
A typical Azure-based integration project moves through three phases: scoping and planning, designing the integrated system, and then implementing and testing it. The right team for this includes a project manager, business analyst, Azure Solution Architect, developers, QA engineers, and a DevOps engineer.
Note: Azure Integration Services are built for application integration. If your goal is data integration, the better fit is Azure Data Factory for ingesting and transforming data, Azure Synapse Analytics for ETL/ELT pipelines, and Azure Data Lake Storage for handling unstructured big data at scale.
How to Integrate Apps Using Azure
Every Azure integration project is a little different. The scope, timeline, and approach depend on how many apps you’re connecting, how complex those apps are, what legacy changes are needed, and which integration pattern fits best. Here are the most common steps we walk through together.
Step 1 — Scope and plan the integration (~1–3 weeks)
Best practice: Before any Azure integration begins, we check compliance requirements for the new integrated system — confirming cloud services are permitted and that Azure meets your security controls.
- Gather your business requirements for the future integrated system
- Analyze the applications to be connected — their capabilities and their limits
- Assess IT infrastructure for hybrid integration needs
- Map out how data should move between apps and whether format transformation is needed
- Calculate the real value and cost savings Azure integration brings to your specific environment
- Define the business metrics that will tell you the integration is working — order processing time, transaction error rates, storage spend, and more
Step 2 — Design the integrated system (~1–3 weeks)
- Design the application integration architecture
- Select the optimal Azure services for the job — orchestration, data storage, and more
- Plan any code adjustments needed in the applications being integrated (Note: app modernization can take anywhere from 2–3 weeks to several months depending on scope)
Step 3 — Implement and test the integration
Start by applying the required changes to the applications. From here, the process branches based on your chosen architecture and tech stack.
Point-to-point / Direct sync communication (via Azure API Management)
API Management creates a façade for each API. When a call hits that façade, it routes to the backend app and returns the result — clean, controlled, and observable.
- Design APIs from the ground up if none exist yet
- Publish APIs — make them visible, document operations, parameters, and expected behavior
- Configure call limits, authentication, IP-level access blocking, caching, monitoring, and developer documentation
Mediated message/event-based async communication (via Azure Service Bus, Azure Event Grid)
Apps exchange messages or events asynchronously — no blocking, no bottlenecks.
- Select or build the adapters your applications need to talk to the mediator
- Define message routing, modification, and aggregation so every message reaches the right receiver in the right format and the right order
Workflow-based integration (via Azure Logic Apps)
For building new business workflows visually and efficiently.
- Choose pre-built connectors or build custom ones for your stack
- Set up triggers for inbound requests and configure outbound calls to target systems
- Use Azure Functions inside Logic Apps for complex orchestration that needs custom code
- Push log messages and events to Azure Stream Analytics, Azure Event Hubs, or Power BI for real-time insight
Validating the integration
- Test all uni-directional, bi-directional, and async queries to confirm distributed transaction completeness and data consistency
- Verify failover and recovery mechanisms so no single failure can cascade and disrupt the whole integrated system
- Run thorough security testing — APIs and cloud-hosted software are high-value targets
INNERLUXES’s Offering in Application Integration
Azure-based application integration consulting
Your integration starts with clarity — not assumptions.
- Business and technical requirements for the integrated system
- Integration architecture design tailored to your environment
- Planning of required modifications for the apps being integrated
- Compliance guidance for HIPAA, HITECH, SOC2, SOC3, and more
- A detailed, actionable integration project roadmap
Azure-based application integration implementation
From discovery to deployment, we handle the full journey.
- Requirements analysis and application & infrastructure assessment
- Integration architecture design
- Migration and modernization of applications where needed
- Integration solution development, implementation, and testing
- After-launch support with user and admin training
- Ongoing management and evolution of your integrated system
Skills and Roles for Azure Integration
A typical Azure integration project requires a cross-functional team. Here’s who we bring to each engagement — and what they own.
Project Manager
Breaks the integration project into clear tasks, assigns ownership, keeps the project on time and on budget, and keeps you informed at every milestone — no surprises, no gaps.
Business Analyst
Captures, prioritizes, and documents requirements for the integrated system, and works alongside the integration architect to select the right integration approach.
Azure Solution Architect
Designs integration architecture that satisfies both business and technical requirements, defines API design, and specifies which Azure services should be used. (for complex integrations)
Developer
Builds custom integration software and APIs. For Logic Apps: configures request triggers, defines resulting actions, and maps data to be shared between connected systems.
DevOps Engineer
Plans, configures, tests, and optimizes the integration infrastructure. Automates build and release pipelines with CI/CD and monitors security, performance, and availability.
QA Engineer
Designs and executes a full test strategy covering function, data consistency, security, and compliance. Tracks results, logs bugs, and ensures every finding gets resolved before go-live.
Selected Azure Integration Projects by InnerLuxes
Benefits of App Integration with INNERLUXES
From planning to post-launch, we bring the expertise that turns a complex integration project into a reliable, scalable system your teams can depend on.
Data quality
We implement data governance rules, error message management, message completeness checks, and distributed transaction rollbacks — so your integrated environment stays consistent and trustworthy.
Advanced integration security
Security isn’t bolted on at the end — it’s built into every layer. We apply sophisticated access control rules, industry-proven authentication protocols, and safer outbound connection patterns from the start.
System performance management
We plan system capacity carefully, design for scalability, introduce priority queues, optimize timeouts and caching, and run load and performance testing before anything goes live. Network latency gets assessed, not ignored.
Optimal integration journey
You shouldn’t commit to an integration before knowing it’s worth it. We start with a feasibility study — technical, economic, and operational — so you know exactly what you’re getting into and which scenario delivers the most value.
Costs of App Integration on Azure
Every Azure integration project is priced based on your actual environment, not a generic template. Here are the main cost drivers to expect.
Driven by your chosen integration approach (point-to-point, mediated, or workflow-based), number of apps being connected, complexity of the new integrated workflow, availability of existing APIs and connectors, any required app modifications or cloud migrations, and testing effort for data consistency.
Determined by the Azure services selected, volume of operations over time (messages, events, delivery attempts, management calls), message size across the integration, specific features needed (transactions, deduplication, sessions), and the level of Azure cloud support required.
Integration ramp-up and rollout effort, plus business user training across teams.
Azure Application Integration Services
Azure offers a deep set of services for application integration — from serverless compute to event delivery to full API governance. Below are the four core services we use most. Every service is sold individually, so you only pay for what your integration actually needs.
Azure API Management
Best for: Providing API service
- A clean, easy-to-use tool for API compliance and governance — ensuring your APIs are used correctly and data is exchanged in the right format
- Flexible access restriction at multiple levels, with a wide range of predefined policies ready out of the box
- Built-in API attack protection with request throttling
- Monitoring tools and access control to keep you informed on how your APIs are being used
Azure Event Grid
Best for: Near real-time event raising and delivery
- A simple, fast way to trigger an event handler the moment a specified event fires
- Capable of handling up to 10,000,000 events per second within a single Azure region
Azure Service Bus
Best for: Secure, reliable async communication — order processing, financial transactions, and more
- Message persistence with strict first-in, first-out ordering
- Guaranteed in-order message delivery every time
- Automatic detection and deletion of duplicate messages
- Atomic transactions and built-in poison message handling
- High availability with geo-replication and native disaster recovery
Azure Logic Apps
Best for: Orchestrating business processes, workflows, and more
- A visual workflow designer that lets you build integrations without writing everything from scratch
- Around 200 connectors covering popular protocols, hybrid and enterprise solutions, Azure services, Microsoft products, and third-party SaaS tools
- Handles API authentication, check-pointing, and durable execution natively
- Azure Functions plug in directly for complex orchestration that needs custom code
- Microbilling available — pay per action, not per hour
Azure Application Integration – Q&A
The four core Azure integration services are Azure API Management (point-to-point API governance), Azure Service Bus (reliable async messaging), Azure Event Grid (near real-time event delivery), and Azure Logic Apps (visual workflow orchestration). The right combination depends on your integration pattern and requirements.
Scoping and planning typically takes 1–3 weeks. Designing the integrated system takes another 1–3 weeks. Implementation and testing vary based on the number of apps, complexity of integration patterns, and any required app modernization — which can range from 2–3 weeks to several months.
Azure Integration Services (API Management, Service Bus, Event Grid, Logic Apps) are built for connecting apps and automating workflows. For data integration, the right tools are Azure Data Factory for ingesting and transforming data, Azure Synapse Analytics for ETL/ELT pipelines, and Azure Data Lake Storage for unstructured big data at scale.
Yes. Hybrid integration is a common scenario. During scoping, we assess your IT infrastructure for hybrid integration needs and plan any required app modifications or migrations before implementation begins.