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API & Integration
Webhooks & Event-Driven Systems
Webhook and event-driven system development. We build reliable event processing systems with guaranteed delivery, proper ordering, and comprehensive monitoring.
Get Started99.9%
API Uptime
<50ms
Avg Latency
100%
API Documentation
REST & GraphQL
Protocols
Service Category
Event-Driven Engineering
Ideal For
Applications needing reliable event processing, webhook infrastructure, or event-driven architecture.
Timeline
3 – 8 weeks
Why Choose MicrocosmWorks for Event-Driven Systems?
Event-driven architectures decouple systems, improve scalability, and enable real-time reactions to business events. But they introduce complexity — ordering, idempotency, dead letters, and observability challenges. We build event systems that are reliable, observable, and maintainable — handling millions of events with guaranteed processing.
Our Event-Driven Capabilities
- Webhook Infrastructure — Build webhook senders and receivers with signature verification, retry logic, and delivery tracking dashboards.
- Event Bus Design — Design event-driven architectures using message brokers for decoupled, scalable, and resilient system communication.
- Guaranteed Processing — Implement at-least-once delivery with idempotent consumers, deduplication, and dead letter queues for failed events.
- Event Schema Management — Define event schemas with versioning, backward compatibility, and schema registry for type-safe event contracts.
- Real-Time Notifications — Build WebSocket, SSE, and push notification systems for real-time user-facing updates triggered by events.
- Event Monitoring — Deploy dashboards tracking event flow, processing latency, failure rates, and consumer lag for full observability.
Technology Stack
We build with Apache Kafka, RabbitMQ, or Redis Streams for event buses, BullMQ for job queues, and custom webhook infrastructure with PostgreSQL for delivery tracking. Event schemas managed with JSON Schema or Avro. All systems include comprehensive monitoring with Grafana.
Who This Is For
Applications that need to react to events from external services (webhooks), decouple internal system communication, or build real-time notification systems. Whether you need reliable webhook processing or a full event-driven architecture, we deliver systems that handle events at scale.
Our Process
1
Event Modeling
Map business events, define schemas, identify producers and consumers, and plan ordering requirements.
2
Architecture Design
Design event bus topology, delivery guarantees, consumer patterns, and monitoring strategy.
3
Implementation
Build event producers, consumers, webhook infrastructure, and dead letter handling.
4
Testing
Test delivery guarantees, idempotency, ordering, failure scenarios, and recovery behavior.
5
Monitoring & Operations
Deploy event monitoring dashboards, configure alerts, and document operational procedures.
Technology Stack
Message Brokers
Apache KafkaRabbitMQRedis StreamsNATS
Job Queues
BullMQCelerySQSCloud Tasks
Real-Time
WebSocketSSESocket.ioPusher
Monitoring
GrafanaPrometheusCustom DashboardsDead Letter Queue
Industries We Serve
SaaSFinTechE-CommerceIoTLogisticsEnterprise
Ready to Build Event-Driven Systems?
Let's design an event architecture that decouples your systems and processes events reliably at scale.
Frequently Asked Questions
Webhooks are HTTP callbacks for inter-service notifications, while event-driven architecture uses message brokers like Kafka or RabbitMQ for asynchronous, decoupled communication. MicrocosmWorks implements both patterns depending on your reliability and scalability needs.
Event-driven system design and development at MicrocosmWorks is available at $25-$50/hour, covering architecture design, message broker setup, event schema design, and consumer implementation.
We implement idempotent webhook handlers, automatic retry with exponential backoff, dead letter queues for failed deliveries, signature verification for security, and delivery status tracking with manual replay capabilities.
Yes, we design event sourcing architectures with event stores, projection builders, and CQRS patterns that give you a complete audit trail, temporal queries, and the ability to rebuild state from any point in time.
We implement schema registries with backward and forward compatibility checks, version events explicitly, use upcasting for old events, and design consumers to handle unknown fields gracefully to prevent breaking changes during deployment.