System Engineering / Event-Driven Systems
Event-Driven Architecture
Event-driven systems decouple services and handle spikes well, but only when events are designed and processed carefully. We design and build event-driven architectures with Kafka, RabbitMQ, SQS, or cloud event buses — with ordering, retries, and failure handling done right.
This Is For You If...
Services need to react to changes in other services without tight coupling
Your queues back up, lose messages, or process them out of order
You're choosing between Kafka, RabbitMQ, SQS, and cloud event buses
You need an audit trail or the ability to replay events
Which Area Matches Your Need?
Ask Yourself | Points Toward |
Are you choosing a messaging technology? | Broker Selection & Setup |
Are events poorly defined or changing often? | Event Design & Contracts |
Are messages lost, duplicated, or stuck? | Reliable Processing |
Do you need history and replay? | Event Sourcing & Streams |
Event-Driven Services We Offer
Broker Selection & Setup
Kafka, RabbitMQ, Amazon SQS/SNS, Google Pub/Sub, or Azure Service Bus chosen for your throughput, ordering, and operations needs.
Event Design & Contracts
Clear event schemas, versioning, and a schema registry so producers and consumers can change independently.
Reliable Processing
Retries, dead-letter queues, idempotent consumers, and ordering guarantees where they matter.
Event Sourcing & Streams
Event-sourced models and stream processing where history, replay, or real-time aggregation is required.
What We Need From You
What to Share | Why It Helps |
Which systems produce and consume events | Defines the event flows |
Throughput and latency needs | Drives broker and partitioning choices |
Current messaging setup and failures | Shows what to fix first |
Ordering and delivery requirements | Determines processing design |
Common Mistakes to Avoid
Instinct | Why It Doesn't Help | Do This Instead |
Publishing internal data structures as events | Every change breaks consumers | Design explicit, versioned event contracts |
No dead-letter queue | One bad message blocks or disappears silently | Route failures to a DLQ with alerting |
Assuming exactly-once delivery | Brokers redeliver | Make consumers idempotent |
Using events for everything | Simple request/response becomes hard to follow | Use events where decoupling is genuinely needed |
How It Works
1. Map event flows
We document producers, consumers, and requirements
2. Choose technology
Broker and patterns matched to your needs
3. Design events
Schemas, versioning, and contracts
4. Build and test
Including failure and redelivery scenarios
5. Monitor and hand over
Lag and failure dashboards plus runbooks
Why Codersarts
We design for the failure cases — redelivery, poison messages, out-of-order events — from the start, so the system stays correct under real conditions.
Turnaround Time
A design for a new event flow is typically ready within a few days. Larger platforms and migrations are scoped individually.
FAQ
Kafka or RabbitMQ?
Kafka suits high-throughput streams and replay; RabbitMQ suits flexible routing and task queues. We recommend from your needs.
Can you fix our existing queues?
Yes — lost, stuck, and duplicated messages are common starting points.
Do you build webhooks too?
Yes — see Webhooks.
Is our project kept confidential?
Yes. Your data, code, and results stay confidential, and an NDA is available on request.
Related Services
Are Your Events Getting Lost, Duplicated, or Stuck?
Get an event-driven design that holds up in production.