What we do · Integration

Events, Messaging & Data

Asynchronous, event-driven and data integration

When direct, synchronous calls would couple your systems too tightly, or buckle under load, the answer is to integrate asynchronously, with a reliable message broker and events. It’s the Microsoft enterprise-integration reference architecture, and the way we build systems that stay up when volumes spike.

Service BusEvent GridMicrosoft Fabric
Why asynchronous

Decouple systems so one slow part can’t stop the rest

Putting a message broker between systems, instead of direct, synchronous calls, turns fragile chains into resilient flows.

Absorb the spikes

Queue-based load levelling smooths bursts in workload so back-ends aren’t overwhelmed.

Broadcast, don’t chase

The publish/subscribe pattern delivers one message to many interested consumers.

Survive outages

Messages queue safely when a back-end is temporarily unavailable, and process when it returns.

Track the long-running

Multi-step workflows across applications are followed reliably, end to end.

Change independently

Decoupled applications evolve on their own schedule without breaking their neighbours.

Meet systems where they are

Existing message-based systems integrate cleanly into the same fabric.

Choosing the right tool

Messaging vs events vs streaming

Service Bus and Event Grid complement each other; Event Hubs handles the high-volume stream. We choose per flow, based on the delivery guarantees each one needs.

ServiceUse it forCharacteristics
Azure Service BusCommands and guaranteed delivery between decoupled systemsReliable, ordered, transactional; queues, topics, PeekLock
Azure Event GridReacting to things that happened; broadcasting to subscribersPub/sub routing; reactive; at-least-once; add subscribers freely
Azure Event HubsHigh-volume telemetry and event streamingMillions of events; near-real-time analytics pipelines

Service Bus offers a pull model where the receiver polls, and a proxied push model where it raises an Event Grid event to trigger the receiver in near real time, no continuous polling. In Logic Apps Standard, PeekLock lets a workflow validate a message before completing or abandoning it, preventing accidental loss.

Proven patterns, made reliable

Reliable messaging patterns

We build on the canonical Enterprise Integration Patterns, the shared vocabulary of messaging, and add the engineering that makes them dependable in production.

Publisher / subscriber

Decouple senders from receivers; notify every interested subscriber.

Competing consumers

Scale processing horizontally across many workers.

Saga / process manager

Coordinate long-running transactions across services.

Transactional outbox

Publish events reliably, without losing or duplicating them.

Claim-check

Pass large payloads by reference (Blob Storage), not by value.

…made production-grade

Dead-letter channels, idempotent receivers, retry with back-off & circuit breakers, and correlation IDs across every hop.

Data integration & analytics

The same governed data feeds analytics and AI

Integration also means gathering and shaping information from many sources and formats.

Ingest & transform

Azure Data Factory runs ETL/ELT pipelines, including on-premises sources via the data gateway.

Govern & model

Microsoft Fabric provides a governed lakehouse (OneLake), modelling, catalogued data products and Power BI, the same governed data feeding AI and Copilot under Responsible AI controls.

End-to-end observability

See that the order actually completed

  • Correlation identifiers follow each business transaction across every asynchronous hop.
  • Distributed tracing (Application Insights / OpenTelemetry) stitches the hops together.
  • Business Activity Monitoring tracks progress against business milestones, so operators know a payment completed, not just that each service is up.

Designed against the Well-Architected Framework, the messaging tier is resilient by configuration: Service Bus Premium supports availability zones and geo-disaster recovery with autoscaling messaging units; Event Grid replicates across zones and fails over automatically.

Built on Microsoft

The stack

Azure Service BusEvent GridEvent HubsLogic Apps StandardAzure Data FactoryMicrosoft Fabric / OneLakePower BIApplication Insights / OpenTelemetryAsyncAPI

Let’s talk integration

Book a discovery workshop to map your integration estate, and see how a proven foundation lets you deploy solutions and accelerators safely, at speed.