Event-Driven Architecture Without Losing Control
Build event-driven systems with Kafka, schema governance, and tracing so you get loose coupling without losing visibility.
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Decouple services without losing visibility
Tightly coupled services fail together, scale together, and block each other. Event-driven architecture fixes that, but async systems can become impossible to trace if designed wrong. We build EDA with clear event contracts, proper broker selection, and observability built in so your services communicate independently and you can still follow what happened.
Our capabilities include:
- Event-driven architecture design and implementation
- Message broker selection and configuration
- Event schema design and governance
- Async workflow orchestration
- Distributed tracing and observability
- Legacy system integration with event patterns
Who we support
Async systems scale better, but they’re harder to trace. We help teams adopt event-driven patterns without creating distributed chaos.
Teams Decoupling Monoliths
Your services call each other directly and failures cascade. You want to introduce async messaging but don't know where to start or which broker fits your load and complexity.
Companies Scaling Real-Time Systems
Your sync architecture can't keep up. Traffic spikes cause timeouts, and adding more servers doesn't help. You need event-driven patterns that let components scale independently.
Organizations With Event Sprawl
You adopted events but now have hundreds of topics, no schema governance, and consumers that break when producers change. You need contracts, tracing, and a way to manage the complexity.
Ways to engage
We offer a wide range of engagement models to meet our clients’ needs. From hourly consultation to fully managed solutions, our engagement models are designed to be flexible and customizable.
Staff Augmentation
Get access to on-demand product and engineering team talent that gives your company the flexibility to scale up and down as business needs ebb and flow.
Retainer Services
Retainers are perfect for companies that have a fully built product in maintenance mode. We'll give you peace of mind by keeping your software running, secure, and up to date.
Project Engagement
Project-based contracts that can range from small-scale audit and strategy sessions to more intricate replatforming or build from scratch initiatives.
We'll spec out a custom engagement model for you
Invested in creating success and defining new standards
At Curotec, we do more than deliver cutting-edge solutions — we build lasting partnerships. It’s the trust and collaboration we foster with our clients that make CEOs, CTOs, and CMOs consistently choose Curotec as their go-to partner.
Why choose Curotec for EDA?
Our engineers have built event systems that scaled and debugged ones that didn’t. We design with observability from the start, pick the right broker for your workload, and enforce schema contracts so your async systems stay manageable as they grow.
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Extraordinary people, exceptional outcomes
Our outstanding team represents our greatest asset. With business acumen, we translate objectives into solutions. Intellectual agility drives efficient software development problem-solving. Superior communication ensures seamless teamwork integration.
2
Deep technical expertise
We don’t claim to be experts in every framework and language. Instead, we focus on the tech ecosystems in which we excel, selecting engagements that align with our competencies for optimal results. Moreover, we offer pre-developed components and scaffolding to save you time and money.
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Balancing innovation with practicality
We stay ahead of industry trends and innovations, avoiding the hype of every new technology fad. Focusing on innovations with real commercial potential, we guide you through the ever-changing tech landscape, helping you embrace proven technologies and cutting-edge advancements.
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Flexibility in our approach
We offer a range of flexible working arrangements to meet your specific needs. Whether you prefer our end-to-end project delivery, embedding our experts within your teams, or consulting and retainer options, we have a solution designed to suit you.
Event-driven architecture capabilities
Architecture Design
Broker Selection & Setup
Schema Governance
Distributed Tracing
Workflow Orchestration
Legacy Integration
Tools and technologies for event-driven architecture
Message Brokers & Streaming Platforms
Our engineers select and configure brokers that match your throughput, latency, and operational complexity requirements.
- Apache Kafka — Distributed streaming platform for high-throughput event pipelines with durable storage and replay capabilities
- RabbitMQ — Message broker with flexible routing, multiple protocols, and support for complex messaging patterns and queues
- AWS EventBridge — Serverless event bus for routing events between AWS services and SaaS applications with filtering rules
- Google Pub/Sub — Managed messaging service with global availability, exactly-once delivery, and automatic scaling
- Azure Event Hubs — Big data streaming platform with Kafka compatibility, partitioning, and capture to storage
- NATS — Lightweight messaging system for cloud-native applications with JetStream for persistence and delivery guarantees
Schema Management & Governance
Curotec implements schema registries and versioning strategies that let producers and consumers evolve independently.
- Confluent Schema Registry — Centralized schema store for Kafka with compatibility enforcement and version history tracking
- AWS Glue Schema Registry — Managed schema service for Kafka and Kinesis with automatic serialization and compatibility checks
- Apicurio Registry — Open-source schema registry supporting Avro, Protobuf, and JSON Schema with REST API access
- Apache Avro — Compact binary serialization format with schema evolution support and strong typing for event payloads
- Protocol Buffers — Google’s language-neutral serialization with efficient encoding and backward-compatible schema changes
- AsyncAPI — Specification standard for documenting event-driven APIs with channel definitions and message contracts
Stream Processing Frameworks
We build processors that transform, filter, and route events in real time with exactly-once delivery guarantees.
- Apache Flink — Stream processing framework with stateful computations, event-time processing, and exactly-once guarantees
- Kafka Streams — Lightweight Java library for stream processing directly within Kafka with local state stores and joins
- Apache Spark Streaming — Micro-batch processing engine for high-throughput workloads with integration into the Spark ecosystem
- Amazon Kinesis Data Analytics — Managed service for SQL and Flink-based stream processing on Kinesis and Kafka data
- Google Dataflow — Unified batch and stream processing with autoscaling, windowing, and exactly-once delivery
- Apache Pulsar Functions — Lightweight compute framework for event transformations running natively within Pulsar clusters
Distributed Tracing & Observability
Our teams instrument async systems with correlation IDs and tracing so you can follow requests across service boundaries.
- Jaeger — Open-source distributed tracing for monitoring request flows and latency across microservices and message queues
- Zipkin — Distributed tracing system for gathering timing data and visualizing dependencies across async service calls
- OpenTelemetry — Vendor-neutral framework for collecting traces, metrics, and logs with broad language and broker support
- Datadog APM — Full-stack observability with async trace correlation, queue monitoring, and service dependency mapping
- Honeycomb — High-cardinality observability platform for debugging complex distributed event flows and async patterns
- AWS X-Ray — Distributed tracing service with SQS, SNS, and EventBridge integration for visualizing async request paths
Workflow Orchestration
Curotec implements saga patterns and orchestration tools that coordinate multi-step processes and handle failures gracefully.
- Temporal — Workflow orchestration platform for durable async processes with automatic retries, timeouts, and state persistence
- Apache Airflow — Workflow scheduler for coordinating event-triggered pipelines with DAG-based dependency management
- AWS Step Functions — Serverless orchestration service for coordinating Lambda functions and services with visual workflow design
- Conductor — Netflix’s open-source orchestration engine for microservice workflows with saga pattern support
- Camunda — Process orchestration platform with BPMN modeling, event handling, and compensation transaction support
- Prefect — Modern workflow engine with event triggers, retry logic, and observability for data and async pipelines
Change Data Capture & Integration
We connect databases and legacy systems to event streams without modifying source code or disrupting existing operations.
- Debezium — Open-source CDC platform that streams database changes from MySQL, PostgreSQL, and MongoDB into event brokers
- AWS DMS — Database migration service with CDC capabilities for streaming changes to Kinesis, Kafka, and S3
- Fivetran — Managed data integration platform with CDC connectors for syncing databases to warehouses and event streams
- Airbyte — Open-source data integration with CDC support and connectors for moving data between sources and destinations
- Kafka Connect — Integration framework with pre-built connectors for databases, APIs, and storage with offset management
- MuleSoft Anypoint — Enterprise integration platform for connecting legacy systems to event streams with API-led patterns
FAQs about our EDA services
When should we use event-driven architecture?
When services need to communicate without blocking each other, when you need independent scaling, or when real-time reactions matter. It’s overkill for simple CRUD apps with low traffic.
How do you choose between brokers?
Based on throughput, latency requirements, and operational capacity. Kafka handles massive scale but needs expertise. RabbitMQ is simpler for moderate loads. Managed services reduce ops burden.
How do you make events easy to trace?
Correlation IDs, distributed tracing, and structured logging from day one. Every event carries context so you can reconstruct the full path when something breaks.
What happens when a consumer fails mid-process?
We design for failure with dead letter queues, retry policies, and idempotent handlers. Failed events get captured and reprocessed without losing data or duplicating side effects.
How do you manage schema changes?
Schema registries with compatibility rules. Producers can add fields without breaking existing consumers. Breaking changes get versioned and migrated deliberately.
Can you add events to our existing monolith?
Yes. We use change data capture and outbox patterns to stream events from existing databases without rewriting your application. You adopt EDA incrementally, not all at once.
Ready to have a conversation?
We’re here to discuss how we can partner, sharing our knowledge and experience for your product development needs. Get started driving your business forward.
