Event-Driven Architecture
Event-driven systems with Kafka and message brokers: decoupled services, real-time processing and reliable event pipelines.
- UsersCustomersOperatorsPartners
- ApplicationsWebiOSAndroidAdmin
- AI agentsAssistantsAgentsEvalsApprovals
- API & orchestrationRESTGraphQLEventsWebhooks
- FinTech & paymentsLedgerCardsPayoutsKYC
- Blockchain & assetsWalletsContractsIndexer
- Cloud infrastructureKubernetesDatabasesObservability
● payment.captured → ledger.posted
● agent.run → approval.requested
● tx.confirmed · indexer.synced → api.cache.updated
Division
Service area
API, Integration & Distributed Systems
Team
Engagement
Project · Team · Managed
Overview
Event-driven architecture lets systems react to changes as they happen, decouples producers from consumers and creates an auditable history of what occurred. We design event models, choose brokers, implement producers and consumers with delivery guarantees, and build stream processing for real-time analytics and automation — with schema management and observability throughout.
Common use cases
- Real-time integrationPropagating changes across systems instantly.
- Event sourcingSystems that store state as a sequence of events.
- Stream processingReal-time aggregation, enrichment and alerting.
- Decoupled platformsTeams publishing and consuming events independently.
Quick answers
Event-Driven Architecture at a glance
The essentials in brief. Every project is scoped individually — ask us for specifics.
- What is event-driven architecture?
- Event-driven systems with Kafka and message brokers: decoupled services, real-time processing and reliable event pipelines.
- Who is it for?
- Typically startups building a first product, scale-ups extending a platform, and enterprises replacing or modernising internal software.
- What does Shivacha provide?
- Event modelling
- Broker selection
- Delivery guarantees
- Outbox pattern
- Schema registry
- Stream processing
- Which technologies are used?
- Apache Kafka, RabbitMQ, Event-driven Architecture, Redis Streams, OpenAPI, GraphQL — chosen to fit your stack and constraints.
- How does the process work?
- Contract design → Security model → Implementation → Testing → Developer experience.
- What affects the cost?
- Number of user roles and core workflows
- Platforms (web, iOS, Android)
- Third-party integrations
- Design depth and accessibility targets
- Data migration from existing systems
- Performance, scale and uptime requirements
- How long does it take?
- An MVP typically takes 8–14 weeks; larger platforms are delivered in phases with a usable release every few weeks.
- How do I get started?
- Share a short brief in the form below, book a 30-minute call or message us on WhatsApp. A senior engineer replies within one business day; NDA on request.
Capabilities
What we deliver
Event modelling
Event types, schemas and ownership.
Broker selection
Kafka, RabbitMQ or managed services by use case.
Delivery guarantees
At-least-once, idempotency and exactly-once where supported.
Outbox pattern
Reliable publishing from transactional systems.
Schema registry
Versioned schemas with compatibility checks.
Stream processing
Real-time transforms and aggregations.
Architecture
Engineered right from day one
The layers we typically design for API, integration & distributed systems, adapted to your stack and partners.
- Versioning strategyBackward-compatible evolution and clear deprecation policies.
- IdempotencySafe retries for operations with side effects.
- ObservabilityTracing across services and per-consumer usage metrics.
- SecurityOAuth 2.0 scopes, input validation and rate limiting on every endpoint.
Delivery
How an engagement runs
- 1
Contract design
API specifications (OpenAPI, GraphQL schema, protobuf) agreed before implementation.
- 2
Security model
Authentication, authorisation scopes and threat model defined up front.
- 3
Implementation
Services, gateway configuration and SDKs built against the contract.
- 4
Testing
Contract, load and security tests automated in CI.
- 5
Developer experience
Documentation, sandboxes and change logs for API consumers.
Security
Security built into delivery
Controls we apply by default on this kind of work — not a separate phase at the end.
Secure SDLC
Code review, dependency scanning and secrets kept out of source control.
Authentication
Proven identity providers, MFA and least-privilege roles.
OWASP coverage
Protection against common web and API vulnerabilities, verified in testing.
Backups & recovery
Automated backups with tested restore procedures.
Technology
Tools we use for this
Related services
Often combined with
REST API Development
RESTful APIs designed with OpenAPI, consistent conventions, strong security and developer-friendly documentation.
Learn moreGraphQL Development
GraphQL APIs and federated graphs that give frontends flexible, efficient access to data across services.
Learn moreWebSocket & Real-Time Development
Real-time features with WebSockets and streaming: live dashboards, chat, trading feeds, collaboration and notifications.
Learn moreDedicated team
Backend Team
Engineers for APIs, services, data and distributed systems.
Work & insights
Related thinking
Incremental replacement of a legacy monolith
Our strangler-pattern approach for replacing a critical legacy system domain by domain without downtime.
Learn moreMulti-tenant SaaS foundation built for enterprise readiness
The foundations we put in place when building a SaaS product that will need to sell to enterprises.
Learn moreModular monolith first: when microservices are actually worth it
Microservices solve organisational scaling problems and introduce distributed-systems problems. Most products should earn them.
Learn moreFAQ
Frequently asked questions
Kafka or RabbitMQ?
Kafka suits high-throughput event streams, replay and analytics; RabbitMQ suits task queues and flexible routing. Many platforms use both.
Is event-driven architecture harder to debug?
It can be; tracing, correlation IDs, event catalogues and replay tools make it manageable.
REST, GraphQL or gRPC?
REST is the most interoperable choice for public and partner APIs. GraphQL suits product frontends that aggregate many resources. gRPC suits high-throughput internal service communication. Many platforms use all three in different places.
Do you document APIs?
Yes. We produce machine-readable specifications, human-readable reference docs, guides and examples, and can publish a developer portal.
Next step
Build Your Product.
Tell us about your event-driven architecture requirements — goals, timeline and constraints. We will reply with questions, an approach and next steps.
- Senior engineer reads every enquiry
- Reply within one business day
- NDA on request
Your details are used only to reply to this enquiry.