Systems that talk to each other, and keep talking
APIs built and integrations connected with the unglamorous parts done properly — authentication, versioning, retries, rate limits and monitoring — so they survive the systems changing around them.
What api & system integration means
API integration connects separate software systems so they can exchange data automatically. The work includes building APIs where none exist, consuming third-party ones, handling authentication and errors, and monitoring the connection — because an integration that fails silently is worse than no integration.
Integrations are judged on the day they break, not the day they are built. The connection works fine for eight months, then a third party changes an endpoint, or a token expires, or a rate limit is reached during a busy week. What happens next depends entirely on decisions made during the build: whether failures retry, whether anyone is told, and whether the data that did not transfer is recoverable.
That is the part we treat as core scope. Building the happy path is the smaller half of an integration; the larger half is what happens when the other system is slow, down, or has changed its mind about a field. Skipping it produces integrations that work in the demo and fail as mysteries.
What's included
API design and build
Where a system needs to expose data, an API designed for the consumers it will actually have, versioned so tomorrow's change does not break today's caller.
Authentication
Token handling, refresh flows and secret storage done properly, rather than credentials pasted into a configuration file somebody later commits.
Error handling and retries
Transient failures retried with sensible backoff, permanent failures raised to a person, and the difference between them decided deliberately.
Rate limit handling
Throttling and queueing so your integration does not get blocked during your busiest hour, which is exactly when it will hit the limit.
Data mapping
Field-level mapping and transformation between systems that model the same concept differently, documented rather than implied.
Monitoring
Health checks, failure alerts and a record of what moved, so a broken connection is noticed by a system rather than by a customer.
The process, step by step
- 01
Integration mapping
What needs to move between which systems, in which direction, and how often. Direction matters more than people expect — deciding which system is authoritative for a field prevents the loop where two systems overwrite each other.
- 02
Capability assessment
What each system's API actually supports, which is often narrower than its documentation suggests. Rate limits, missing endpoints and pagination quirks are found here rather than mid-build.
- 03
Contract design
The data shape, error semantics and versioning approach agreed before implementation, so both sides know what to expect when things go wrong as well as when they go right.
- 04
Build with failure paths
The integration built together with its retry, quarantine and alerting behaviour, rather than adding those after the happy path works.
- 05
Load and failure testing
Tested against realistic volume and against the other system being unavailable, because both will happen and neither should be a surprise.
- 06
Monitoring handover
Alerting routed to the right people with a runbook, so recovery does not depend on whoever built it being reachable.
Who this is for
ERP and CRM connection
Customers, orders and invoices kept consistent between systems that each believe they own the customer record.
E-commerce and marketplace
Orders, inventory and pricing synchronised across your website, marketplaces and back office.
Payments and logistics
Payment gateways, shipping providers and tracking wired into your own systems with reconciliation.
Exposing your own API
When customers or partners need programmatic access to your system and you need it to be safe to offer.
How we approach it differently
- Failure paths are scopeRetries, quarantine and alerting are built with the integration, not added after the first incident.
- Tested against the other side being downBecause it will be, and how your system behaves then is the actual quality of the integration.
- Credentials handled properlySecret storage and token refresh done correctly, rather than a key in a config file nobody rotates.
- Versioned contractsSo a change on one side is a planned migration rather than an outage for everyone calling it.
What we build it with
Build
- Node.js
- REST & GraphQL
- OpenAPI specifications
- Webhook endpoints
Reliability
- Exponential backoff
- Idempotency keys
- Dead-letter queues
- Circuit breakers
Security
- OAuth 2.0
- API keys & scopes
- Secret management
- Request signing
Operations
- Health checks
- Failure alerting
- Request logging
- Rate limit monitoring
API & System Integration across Tamil Nadu and beyond
Delivered from Chennai and Trichy, working with businesses across the state and outside it.
- Chennai
- Tiruchirappalli (Trichy)
- Coimbatore
- Madurai
- Salem
- Erode
- Tirunelveli
- Vellore
- Tiruppur
- Puducherry
Industries where api & system integration does the work
Each of these pages sets out the systems that sector runs on, the regulation involved, and the blueprints this service is part of.
API & System Integration: common questions
What if the system we need to connect to has no API?
There are usually options: reading its database directly, scheduled file exports, or in some cases automating the manual export. Each is less robust than a real API and we are explicit about that trade-off, because it affects how much monitoring the integration needs.
How do you handle a third party changing their API?
Version pinning where the provider supports it, monitoring that detects unexpected response shapes, and alerting so a change surfaces immediately rather than as gradually corrupted data. Providers do give notice; the risk is that the notice reaches an inbox nobody watches.
Is this different from the ETL work you also do?
Related. ETL usually means scheduled bulk movement of data for analysis; API integration is generally about keeping operational systems in agreement, often in near real time. The reliability engineering overlaps heavily, and for some projects the honest answer is that you need both.
How do you prevent duplicate records?
Idempotency keys so a retried request does not create a second record, and reconciliation checks that compare counts between systems. Duplicates from retry logic are one of the most common integration defects and one of the most preventable.
Can you build an API for our existing system?
Usually yes, as a layer over the existing database or application. The main question is what guarantees it can offer — an API over a system that was never designed to be called concurrently needs care, and we assess that before promising an interface.
Who monitors it after launch?
Alerts should reach your team, whether or not we hold a support arrangement. An integration monitored only by the supplier is one where you find out about problems second, which is the wrong way round.
Let's talk about your api integration project
Tell us what you are trying to achieve and we'll tell you honestly whether this is the right approach.