Cloud/DevOps
API and cloud service integration that connects your web and mobile applications to third-party platforms, data sources, and cloud infrastructure without brittle point-to-point wiring.
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Response time
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Projects delivered
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Years in production
What it is
Cloud integration connects applications, data sources, and services through APIs, message queues, and event streams — enabling real-time and batch data flow between systems and access to cloud-managed capabilities without managing the underlying infrastructure.
What you get
Most enterprise applications need to talk to 10–20 other systems: CRMs, ERPs, payment processors, identity providers, data warehouses, communication platforms, and cloud services. Done naively, each integration becomes a point of failure. Done properly, integrations are resilient, observable, and decoupled enough that one system failing does not cascade.
We design integration layers with appropriate patterns for each connection: synchronous REST or GraphQL for request-response interactions, webhook receivers with idempotency handling for event-driven flows, and message queues (SQS, PubSub, Kafka) for high-throughput or unreliable upstream systems.
Every integration we build includes error handling, retry logic, dead-letter queues, and monitoring. When a third-party API goes down, your system should degrade gracefully and alert — not silently lose data or serve errors to users.
Key capabilities
Each engagement is scoped to your requirements — these are the core capabilities we bring to the table.
OAuth 2.0 and OpenID Connect identity provider integration
Payment gateway integration (Stripe, Adyen, Braintree)
Cloud storage integration (S3, GCS, Azure Blob)
Data pipeline integration with ETL and ELT patterns
Integration monitoring with error alerting and retry dashboards
Our process
A structured, engineering-led approach that moves from understanding your goals to a production system — with no handoff surprises.
Typical engagement
8–16 WEEKS
We map your goals, constraints, and existing infrastructure. Scope is defined and success criteria agreed before any development begins.
We design the technical approach, select the right tools, and produce a milestone-driven delivery plan with no ambiguity.
Iterative development with regular demos. Code reviews, test coverage, and documentation happen in parallel — not at the end.
Production release with monitoring setup and handover documentation. We stay close during the first weeks post-launch.
Built with
We implement exponential backoff with jitter for retries, request queuing to stay within rate limits, and circuit breakers that stop hammering APIs that are consistently failing. For critical integrations, we add request caching to serve last-known-good responses during outages.
REST integration is synchronous: your system calls the other system and waits for a response. Message queues are asynchronous: you put a message in a queue and the other system processes it when ready. Queues are better when the other system is slow, unreliable, or when order and guaranteed delivery matter. REST is better for real-time request-response flows.
Sometimes. Options include: SFTP/FTP file transfer for legacy batch systems, database-level integration via read replicas, screen scraping for systems with no export path, and RPA for desktop applications. We assess what is available and recommend the most reliable integration path.
Work with us
Share what you're building — we'll respond within one business day with questions or a proposal outline.
