We design and build custom connectors, middleware platforms, and event-driven architectures that unify your software ecosystem. From legacy adapters to real-time event streaming.
End-to-end solutions for connecting, securing, and scaling your API ecosystem across any environment.
We build tailored connectors for SaaS platforms, legacy systems, and proprietary APIs. Support for REST, GraphQL, SOAP, gRPC, and custom protocols with built-in error handling, rate limiting, and retry logic.
Design and deploy middleware layers for API gateway, request transformation, protocol bridging, and orchestration. Implement caching, load balancing, authentication, and observability at the mesh level.
Generate type-safe, production-ready SDKs in TypeScript, Python, Go, Java, and .NET. Features include auto-pagination, retry strategies, telemetry injection, and comprehensive test suites aligned with your API contract.
Design event-driven systems with Apache Kafka, RabbitMQ, AWS EventBridge, and Azure Event Grid. Schema management, event sourcing, CQRS patterns, and exactly-once processing semantics.
Connect your services through RabbitMQ, Kafka, SQS, Pub/Sub, and Redis Streams. Dead-letter handling, consumer group management, message ordering guarantees, and queue topology optimization.
Full observability with OpenTelemetry, Prometheus, and Grafana. SLA tracking, synthetic monitoring, distributed tracing, and intelligent alerting. Ensure p99 latency targets and 99.99% uptime.
A structured, transparent process that ensures your integration is built right the first time.
We analyze your systems, map data flows, define API contracts, and establish success metrics. You get a detailed integration blueprint.
We build a working connector or middleware prototype with your real endpoints. Validate data mapping, error scenarios, and performance baseline.
Production-grade development with automated testing, contract validation, security scanning, and load testing. Continuous integration from day one.
Deploy to your infrastructure with CI/CD pipelines, monitoring dashboards, alerting rules, and operational runbooks. Ongoing support included.
Every integration is unique. Choose the tier that fits your scope, or contact us for a custom quote.
Everything you need to know about our API integration services.
API contracts are formal specifications that define the interface between services, including request/response formats, data types, authentication methods, and error handling. They serve as a binding agreement between API providers and consumers. ConnectAPI uses OpenAPI 3.1, AsyncAPI, and GraphQL schema definitions to create robust contracts that ensure compatibility, enable automated testing, and provide living documentation. Contracts prevent integration drift and make it possible to validate changes before deployment.
We develop custom SDKs tailored to your API's specific requirements, supporting TypeScript, Python, Go, Java, and .NET. Our process begins with analyzing your API contract to generate type-safe client libraries with automatic retry logic, rate limiting, pagination handling, and comprehensive error types. SDKs include built-in telemetry, configurable timeouts, and middleware hooks for authentication, logging, and caching. Each SDK ships with unit tests, integration tests, and usage examples.
Event-driven architecture (EDA) is a software design pattern where services communicate through events rather than direct API calls. This enables loose coupling, real-time processing, and natural scalability. We recommend EDA for scenarios involving real-time data synchronization, microservice orchestration, IoT data ingestion, user activity tracking, and workflow automation. ConnectAPI implements EDA using Apache Kafka, RabbitMQ, AWS EventBridge, and Azure Event Grid, with event schemas managed through Schema Registry.
We support RabbitMQ, Apache Kafka, Amazon SQS/SNS, Azure Service Bus, Google Pub/Sub, Redis Streams, and NATS. Our approach includes queue topology design, dead-letter handling, message ordering guarantees, idempotent consumer patterns, and monitoring dashboards. We help you choose the right system based on throughput requirements, durability needs, latency constraints, and existing infrastructure. ConnectAPI also builds custom bridge adapters for multi-queue environments.
We implement multi-layered reliability through circuit breakers, bulkheads, retry with exponential backoff, fallback mechanisms, and health check endpoints. Our API monitoring stack provides real-time dashboards for latency percentiles (p50/p95/p99), error rates, request volume, and saturation metrics. We configure proactive alerting through PagerDuty, Opsgenie, or Slack with intelligent thresholding to reduce alert fatigue. SLAs are backed by automated SLA tracking and reporting.
Our security framework covers authentication (OAuth 2.0, OIDC, API keys, mTLS), authorization (RBAC, ABAC, policy-based access control), rate limiting, input validation, and encryption in transit and at rest. We implement API governance through versioning strategies, deprecation policies, change management workflows, and automated linting against organizational standards. ConnectAPI also provides API audit logging, threat detection, and compliance reporting for SOC 2, HIPAA, and PCI DSS.
Yes, legacy system integration is one of our core competencies. We build adapter layers, protocol translators, and facade APIs that wrap mainframe systems, SOAP services, FTP/SFTP feeds, and proprietary protocols into modern RESTful or GraphQL interfaces. Our middleware handles data transformation, protocol conversion, and orchestration without modifying legacy code. We also support strangler fig patterns for gradual migration from monoliths to microservices.
We employ multiple versioning strategies including URI versioning (v1/v2), header-based versioning (Accept header), and query parameter versioning, choosing based on your use case. Our approach emphasizes backward compatibility through additive changes, thoughtful deprecation timelines, and comprehensive migration guides. We use contract testing to catch breaking changes before deployment and maintain parallel versions with clear sunset policies. Automated changelog generation keeps consumers informed.
API observability encompasses three pillars: metrics (latency, throughput, error rates, saturation), distributed tracing (end-to-end request tracing across services), and structured logging (correlation IDs, structured payloads). We implement this using OpenTelemetry, Prometheus, Grafana, Jaeger, and ELK/Loki stacks. Our setups include synthetic monitoring for proactive health checks, real user monitoring for client-side performance, and business KPI dashboards that map API health to business outcomes.
Our pricing is project-based and depends on integration complexity, number of endpoints, data transformation requirements, and timeline. We offer three tiers: the Starter plan at $2,000 for 1-2 API integrations with basic mapping and documentation; the Professional plan at $5,000 for up to 5 integrations with advanced transformation, error handling, and monitoring; and the Enterprise plan starting at $12,000 for unlimited integrations, custom middleware, SLA guarantees, and dedicated support. Each project begins with a free discovery call.
Tell us about your integration needs and we'll design a solution within 48 hours. Free discovery call for all new projects.
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