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.
We engineer software that delivers measurable business outcomes, from two aligned bases in South Africa and Mauritius.
Putting a message broker between systems, instead of direct, synchronous calls, turns fragile chains into resilient flows.
Queue-based load levelling smooths bursts in workload so back-ends aren’t overwhelmed.
The publish/subscribe pattern delivers one message to many interested consumers.
Messages queue safely when a back-end is temporarily unavailable, and process when it returns.
Multi-step workflows across applications are followed reliably, end to end.
Decoupled applications evolve on their own schedule without breaking their neighbours.
Existing message-based systems integrate cleanly into the same fabric.
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.
| Service | Use it for | Characteristics |
|---|---|---|
| Azure Service Bus | Commands and guaranteed delivery between decoupled systems | Reliable, ordered, transactional; queues, topics, PeekLock |
| Azure Event Grid | Reacting to things that happened; broadcasting to subscribers | Pub/sub routing; reactive; at-least-once; add subscribers freely |
| Azure Event Hubs | High-volume telemetry and event streaming | Millions 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.
We build on the canonical Enterprise Integration Patterns, the shared vocabulary of messaging, and add the engineering that makes them dependable in production.
Decouple senders from receivers; notify every interested subscriber.
Scale processing horizontally across many workers.
Coordinate long-running transactions across services.
Publish events reliably, without losing or duplicating them.
Pass large payloads by reference (Blob Storage), not by value.
Dead-letter channels, idempotent receivers, retry with back-off & circuit breakers, and correlation IDs across every hop.
Integration also means gathering and shaping information from many sources and formats.
Azure Data Factory runs ETL/ELT pipelines, including on-premises sources via the data gateway.
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.
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.
SARS has put a digital VAT model out for consultation. It is not a mandate and there is no confirmed date, but the direction is clear enough that finance and IT should read it now rather than in 2029.
Offshore economics with onshore alignment. Delivered from Centurion and Ebene, in English and French, with working hours that overlap yours.
Related: Engineering and advisory capabilities → Case studies → Our Mauritius base →
Book a discovery workshop to map your event and data flows, and see how a proven foundation lets you deploy solutions and accelerators safely, at speed.