EXPERTISE / CONNECTIVITY

Integration architecture, event-driven systems and data platforms.

API-led and event-driven integration on Azure Integration Services, reliable messaging patterns and governed data platforms that make enterprise data usable for analytics and AI.

What we deliver

Integration architecture and implementation that links your applications, partners and data platforms through well-defined APIs, events and workflows.

Failure is part of the design

Networks fail, systems go offline and messages arrive twice. Good integration assumes this. We design for idempotency, retries, dead-lettering and replay so that when something goes wrong it is visible and recoverable.

Choosing the right integration style

Each style has a place, and most estates need several.

• Synchronous APIs through Azure API Management when a caller needs an immediate answer
• Queues and topics on Azure Service Bus for reliable, ordered business messages
• Event Grid for lightweight notifications and reactive architectures
• Logic Apps or Functions for orchestration and connector-heavy flows
• Change data capture when systems of record cannot be modified

Reliable messaging patterns

Distributed systems fail in partial and surprising ways. We use proven patterns to keep data consistent and processes recoverable.

• Transactional outbox and inbox patterns for exactly-once effects over at-least-once delivery
• Idempotency keys and deduplication on every consumer
• Sagas and process managers (choreography or orchestration with Durable Functions) for long-running business transactions
• Dead-letter queues with automated triage, alerting and controlled replay
• CloudEvents for consistent event envelopes and schema versioning

Data platforms and AI-ready data

Analytics and AI are only as good as the data beneath them. We design lakehouse platforms in Microsoft Fabric (OneLake) or Azure Databricks using a medallion architecture — raw (bronze), cleansed (silver) and curated (gold) layers on Delta Lake — with data contracts, automated quality checks, lineage and governance through Microsoft Purview. We also prepare unstructured content such as documents, tickets and knowledge bases for retrieval by AI assistants, including chunking, enrichment and access-control metadata.

Contracts and governance

We define interfaces contract-first with OpenAPI and AsyncAPI, version them deliberately and publish them in a developer portal, so teams can integrate without meetings and changes do not break consumers silently.

Problems we address

• Point-to-point integrations that nobody fully understands
• Data inconsistencies between systems and manual reconciliation
• Silent failures discovered days later by users
• Batch processes that cannot keep up with the business
• Data that is not ready for analytics or AI

Technologies and approaches

• Azure API Management
• Azure Service Bus and Event Grid
• Azure Logic Apps and Functions
• Microsoft Fabric and Azure Data Factory
• Databricks
• REST, OpenAPI and AsyncAPI
• Change data capture

Typical engagement activities

• Integration landscape mapping
• API and event contract design
• Resilience design: idempotency, retries and dead-lettering
• Implementation and migration from legacy interfaces
• Data pipeline and quality design
• Monitoring, alerting and replay tooling

Deliverables

• Integration architecture and contract catalogue
• Implemented APIs, message flows and workflows
• Data pipelines with quality checks and lineage
• Operational dashboards and alerting
• Runbooks for failure handling and replay

Potential business outcomes

• Fewer manual workarounds and reconciliation tasks
• Faster, more reliable data flow between systems
• Failures that are detected and recovered quickly
• Data that analytics and AI teams can trust

Contact: contact@nexaarislabs.com

Nexaaris Labs Ltd is a private limited company registered in England and Wales, company number 16746745. Registered office: 2 Shepton Road, Broughton, Milton Keynes, Buckinghamshire, MK10 7AH, United Kingdom.