API Development & Integration for Manufacturing

Connect ERP, MES, PLM, machines and suppliers through secure, documented APIs

An API (application programming interface) is a defined contract that lets one system request data or actions from another. API integration connects systems you already have through those contracts. Zenkins is an Ahmedabad-based AI software development company for manufacturing. We design and build the APIs and integration layers that make ERP, MES, PLM, IoT, quality and supplier systems work as one connected environment, and that give AI applications safe access to trusted data.

  • What it is: designing and building the interfaces that let systems exchange data and trigger actions, and connecting the systems you already run.
  • Why it matters: disconnected ERP, MES, PLM and machine data means re-keying, disagreeing reports and automation that stops at system boundaries.
  • What we build: ERP, MES, PLM and supplier integrations, custom REST and GraphQL APIs, gRPC services, API gateways, event-driven integration, legacy adapters and AI-ready APIs.
  • How we do it safely: contract-first design, OWASP API Security Top 10, OAuth 2.0, rate limiting, testing and monitoring.
  • Where AI fits: permission-aware APIs let copilots and agents read data and trigger approved actions.

Custom Software • AI Engineering • Manufacturing Systems • Cloud & Data

Why Integration is the Real Problem

A manufacturing business typically runs ERP, MES, PLM, quality, maintenance, warehouse and supplier systems that were bought or built at different times. Without integration, people re-key data, reports disagree and automation stops at system boundaries. AI makes this worse if it cannot reach trusted data.

Good integration gives you one flow from order to production to shipment, engineering changes that reach the shop floor, supplier data that arrives without spreadsheets, machine data available to quality and maintenance teams, and a safe interface for AI copilots to read data and, where approved, act.

Zenkins designs APIs and integrations as long-lived products, not one-off scripts: contract first, secured by design, tested, documented and monitored, so they keep working when the systems on either side change.

Order to shipment, connected

No re-keying between systems. Orders, production confirmations, inventory movements and shipments flow between ERP, MES and warehouse systems automatically.

Engineering changes that reach the floor

PLM to ERP to production. Product structures and engineering change orders move between PLM, ERP and production so changes are applied consistently.

Suppliers without spreadsheets

Exchange data digitally. EDI-to-API translation, advance shipping notices and purchase order exchange replace email and spreadsheets.

Safe access for AI

AI that reads trusted data. Permission-aware APIs let copilots and agents retrieve data and trigger approved actions with a full audit trail.

REST vs GraphQL vs gRPC vs SOAP vs WebSocket: Which API Style Is Right for Your Project?

API style selection is one of the first and most consequential decisions in any project involving APIs. The wrong choice creates performance problems, developer friction, or over-engineering that is expensive to undo. Here is an honest comparison:

 

REST

GraphQL

gRPC

SOAP

WebSocket

Protocol

HTTP/S

HTTP/S

HTTP/2

HTTP/S + XML

TCP / WS

Data format

JSON / XML

JSON

Protocol Buffers

XML

JSON / binary

Performance

Good

Good

Excellent

High overhead

Excellent

Flexibility

Good

Excellent

Limited

Limited

Good

Tooling / ecosystem

Widest

Wide

Growing

Narrowest

Good

Learning curve

Simple

Moderate

Moderate

Complex

Simple

Real-time support

No

Partial

Yes (streaming)

No

Yes

Type safety

No (by default)

Yes (schema)

Yes (proto)

Yes (WSDL)

No

Best for

Public APIs, web, mobile

Flexible client data needs

Microservices, IoT

Legacy enterprise, SOAP-required

Real-time, live data, chat

When Zenkins recommends REST

REST is the default for most public APIs, mobile backends, and web application APIs where simplicity, broad tooling support, and developer familiarity matter. If your primary consumers are third-party developers or partner organisations, REST with OpenAPI documentation is the clear choice — it has the widest support across programming languages, API testing tools, and developer expectations.

When Zenkins recommends GraphQL

GraphQL is the right choice when clients have diverse data requirements — a mobile app needs fewer fields than a web dashboard, and a partner integration needs a different shape entirely. GraphQL lets each consumer request exactly the data it needs. It is well-suited to SaaS products with complex data models, developer APIs where consumers build their own queries, and frontend-heavy applications where over-fetching is a performance problem.

When Zenkins recommends gRPC

gRPC delivers the best performance of any API style — binary Protocol Buffer encoding, HTTP/2 multiplexing, and bidirectional streaming. It is the right choice for internal microservice-to-microservice communication, IoT device communication, and any API where latency and throughput under load are critical. Its binary-only format and stricter tooling requirements make it less suitable for public APIs consumed by external developers.

When Zenkins recommends WebSocket

WebSocket is the right choice for real-time bidirectional communication — live chat, collaborative editing, real-time dashboards, live order tracking, and market data feeds. HTTP request-response is unsuitable for these use cases because the server cannot push data to the client without a client request. WebSocket maintains a persistent connection that allows both sides to send messages at any time.

Integration Patterns: Connecting Your Systems the Right Way

API integration is not always a direct call from one system to another. The right integration pattern depends on your latency requirements, fault tolerance needs, data volume, and whether the exchange needs to be synchronous (immediate response) or asynchronous (fire and forget). Here are the seven main integration patterns we implement:

Pattern

How it works

Latency

Best for

Direct API call

System A calls System B’s REST or GraphQL endpoint synchronously

Low

Real-time reads, transactional ops

Webhook

System B pushes events to System A’s endpoint on state change

Near real-time

Event-driven, third-party notifications

Message queue

Systems communicate via a broker (Kafka, RabbitMQ, SQS) asynchronously

Decoupled

High-volume, fault-tolerant processing

Event streaming

Continuous event log consumers pull events as they occur (Kafka)

Very low

Real-time analytics, audit trails

ETL / batch

Scheduled jobs extract, transform, load data between systems

Scheduled

Data warehouse sync, reporting

iPaaS middleware

Platform (MuleSoft, Boomi, Azure Logic Apps) orchestrates flows

Medium

Enterprise system integration, no-code

File-based (SFTP/EDI)

Systems exchange structured files on a schedule

Batch

Legacy B2B, supply chain, banking

Many complex integration projects use multiple patterns simultaneously — for example, a real-time API call for customer-facing operations, a message queue for order processing, and a nightly ETL for reporting. Zenkins designs the integration architecture based on your specific latency, reliability, and volume requirements.

Our API Development & Integration Services

Zenkins delivers the full spectrum of API work — from greenfield API design and development to integration of existing systems with third-party platforms, legacy middleware, and event-driven architectures.

ERP integration

Orders, materials and confirmations, in sync. Integrations with SAP (including S/4HANA and ECC through OData, RFC/BAPI and IDoc), Oracle, Microsoft Dynamics and other ERPs: orders, materials, production confirmations, goods movements and finance postings.

Examples: SAP integration • Oracle ERP • Dynamics integration

MES and shop-floor integration

Machines and plant systems connected to the enterprise. Connect MES, SCADA, historians and machine data with plant and enterprise systems using OPC UA, MQTT, database interfaces and APIs. See IoT Software Development and the MES solution.

Examples: OPC UA bridges • SCADA data APIs • Historian access

PLM and engineering integration

Engineering data to production. Move product structures, engineering change orders and documents between PLM, ERP and production. See PLM.

Examples: BOM sync • ECO flow • Document exchange

Supplier and customer integration

EDI and API exchange. EDI-to-API translation, supplier portals, advance shipping notices, purchase order exchange and quality documents.

Examples: EDI translation • ASN • Supplier portals

Custom REST and GraphQL API development

Contract-first, documented APIs. OpenAPI specifications, correct HTTP semantics, pagination, versioning and documentation that lets partners integrate without calling support.

Examples: Partner APIs • Mobile backends • Dashboard APIs

gRPC and microservices APIs

Fast service-to-service links. Internal communication for modern platforms, with load balancing, health checks and circuit breakers. See Cloud-Native Application Development.

Examples: Internal services • Streaming • Platform APIs

Real-time and WebSocket APIs

Live data to screens. Live dashboards, operator screens and alerts that update as data arrives.

Examples: Live dashboards • Alert feeds • Operator screens

API gateway implementation

One front door with policy. Central authentication, rate limiting, routing, caching and analytics on Kong, Azure API Management, AWS API Gateway or similar.

Examples: Auth and quotas • Routing • Analytics

Event-driven integration

Reliable asynchronous flows. Kafka, RabbitMQ, AWS SQS and SNS or Azure Service Bus implementations with schema design, idempotency, dead-letter handling and replay.

Examples: Event streaming • Queues • Dead-letter handling

Legacy system integration

Use old systems from new applications. Adapter layers for mainframe, SOAP, file-based and proprietary databases so modern applications can use old systems without rewriting them. See Application Modernization.

Examples: SOAP wrappers • File adapters • Database APIs

API access for AI applications

Safe, permission-aware access. APIs that let copilots and agents read data and trigger approved actions, with audit logs.

Examples: Read-only AI endpoints • Approval-gated actions • Audit logging

API Security Standards We Build To

API security is not a feature — it is a foundational requirement. Every API Zenkins develops is built against the OWASP API Security Top 10 and the following security controls are non-negotiable on all production API work:

Security control

What it does

Zenkins standard

TLS / HTTPS enforcement

Encrypts all data in transit; rejects plain HTTP connections

Required on all APIs

OAuth 2.0 + OpenID Connect

Delegated authorisation with scoped access tokens; OIDC adds identity layer

Standard for user-facing APIs

API key + HMAC signing

Machine-to-machine auth; HMAC signs request payload to prevent tampering

Standard for service-to-service

JWT (JSON Web Token)

Stateless tokens carrying claims; verified without database round-trip

Standard — short expiry + refresh

Rate limiting

Prevents abuse, DDoS, and scraping by capping requests per key/IP per window

Required — per-key + per-IP

Input validation & sanitisation

Prevents injection attacks (SQL, NoSQL, command) at the API boundary

Required — schema validation

OWASP API Security Top 10

Covers broken auth, excessive data exposure, mass assignment, SSRF, and more

Audited on every API

API gateway

Centralised auth, rate limiting, logging, and routing; Kong, AWS API GW, Azure APIM

Recommended for all production APIs

Secrets management

API keys, tokens, and credentials stored in vault (AWS Secrets Manager, HashiCorp)

Required — no secrets in code

All production APIs undergo OWASP ZAP automated security scanning and manual penetration testing before launch. For APIs handling financial data, health information, or personal data, we provide a security test report as a project deliverable and design the API to support SOC 2, HIPAA, GDPR, or PCI DSS compliance requirements as applicable.

Ready to Connect Your Systems with Powerful APIs?

Leverage API development & integration services to build secure, scalable, and high-performance integrations that streamline workflows and improve data flow across your business systems.

Our API Development & Integration Process

Good APIs are designed before they are built. The API contract — the specification of every endpoint, field, status code, and error — must be agreed with all consuming teams before the first line of implementation code is written. Our nine-phase process enforces this discipline and produces APIs that are secure, well-documented, and ready for long-term maintenance.

API discovery & scoping

System inventory, integration mapping (what connects to what), data flow diagrams, API style selection (REST vs GraphQL vs gRPC), authentication model, rate limiting strategy, versioning plan, and compliance requirements. Output: API Design Brief.

API contract design

OpenAPI 3.x specification (or AsyncAPI for event-driven) written before any code — endpoint definitions, request/response schemas, status codes, error structures, pagination patterns, and authentication flows. Output: API contract document reviewed by all consuming teams.

Security architecture

Authentication mechanism selection and design, authorisation model (scopes, roles, resource ownership), API gateway configuration plan, secrets management approach, rate limit thresholds, and OWASP API Security Top 10 threat model. Output: Security architecture sign-off.

Development

API implementation following the agreed contract. Framework setup, database query optimisation, middleware (logging, auth, error handling), business logic, and event/message broker integration where applicable. Agile two-week sprints with demo builds.

Third-party integration

Authentication with external systems (OAuth flows, API key exchange, SAML setup), data mapping and transformation between schemas, error handling for upstream failures, retry logic with exponential backoff, circuit breaker patterns for unreliable third parties.

API testing

Functional testing (every endpoint, every status code, every error case), contract testing (Pact — consumer-driven to prevent breaking changes), performance testing (k6 — load, spike, stress), security testing (OWASP ZAP, auth bypass attempts, injection testing). Output: Full test suite in CI pipeline.

API documentation

OpenAPI / Swagger UI generated documentation, developer quick-start guide, authentication walkthrough, code examples in at least two languages (cURL, Python, JavaScript), error code reference, rate limit documentation, and changelog format. Output: Developer portal or docs site.

Deployment & API gateway

API deployed behind gateway (Kong, AWS API GW, Azure APIM), SSL/TLS termination, rate limit and quota enforcement, logging and analytics pipeline, distributed tracing configuration, and staging environment for integration partner testing.

Monitoring & versioning

Real-time API analytics (latency p50/p95/p99, error rates, status code distribution), alerting on SLO breaches, structured error logging, consumer usage reporting, versioning strategy enforcement (URL versioning or header versioning), and deprecation workflow for old versions.

Technology & Engineering

Our API and integration technology selections are driven by your existing stack, performance requirements, team expertise, and the systems being integrated. The following technologies represent our active production experience — not a marketing checklist.

API frameworks

.NET / ASP.NET Core Web API, Node.js (Express, Fastify, NestJS), Java Spring Boot, Python (FastAPI, Django REST), Go (Gin, Echo), Ruby on Rails API

API styles

RESTful APIs, GraphQL (Apollo Server, Strawberry), gRPC (Protocol Buffers), WebSocket APIs, SOAP / WSDL, AsyncAPI (event-driven)

API gateway

AWS API Gateway, Azure API Management, Kong Gateway, Apigee, NGINX — centralised auth, rate limiting, routing, caching

Authentication

OAuth 2.0, OpenID Connect, JWT, API keys + HMAC, mTLS, SAML 2.0, AWS Cognito, Auth0, Okta, Azure AD

Message brokers

Apache Kafka, RabbitMQ, AWS SQS / SNS, Azure Service Bus, Google Pub/Sub — event-driven integration

Integration middleware

MuleSoft Anypoint, Azure Logic Apps, AWS Step Functions, Dell Boomi, custom middleware for legacy system bridging

API testing

Postman, Newman (CI/CD collection runner), REST Assured, Karate, k6 (load testing), Pact (consumer-driven contract testing)

API documentation

OpenAPI 3.x / Swagger UI, AsyncAPI, GraphQL Playground, Redoc, Stoplight — auto-generated and manually curated

Observability

Distributed tracing (Jaeger, Zipkin, AWS X-Ray), API analytics (Datadog, Grafana + Prometheus), structured logging (ELK Stack)

Data formats

JSON, Protocol Buffers (protobuf), XML, Avro, MessagePack, CSV / SFTP for legacy batch integrations

Cloud SDKs

AWS SDK, Azure SDK, Google Cloud SDK — for integrating with cloud-native services, object storage, AI services, and managed databases

CI/CD for APIs

GitHub Actions, GitLab CI, Docker, Kubernetes (API deployments), Terraform (API Gateway as IaC), blue/green API versioning strategies

API integration across manufacturing industries

Each sector connects a different set of systems and exchanges different documents.

Automotive & Mobility

OEM and tier supplier connections. OEM and tier-supplier EDI, quality and warranty data exchange and ERP to MES order flow.

Examples: Supplier EDI • Warranty data • Order flow

Semiconductor & Electronics

Equipment and test data flows. Equipment data to MES, lot genealogy and test data to analytics.

Examples: Equipment to MES • Lot genealogy • Test data feeds

Industrial Equipment & Machinery

Connected equipment and service. Connected-equipment data APIs and service and spare-parts integration.

Examples: Equipment APIs • Service integration • Spare parts

Electrical & Energy Equipment

Project, order and test data. Order and project data between ERP and PLM and test-bench data capture.

Examples: ERP to PLM • Test-bench data • Project data

Chemicals & Process Manufacturing

Historian and lab integration. Historian and LIMS integration and batch and compliance data exchange.

Examples: Historian APIs • LIMS integration • Batch data

Pharmaceuticals & Life Sciences

Controlled data flows. QMS, MES and ERP integration with audit trails and controlled data flows.

Examples: QMS integration • Audit trails • Controlled exchange

Consumer & Industrial Products

Warehouse and distributor links. WMS, retailer and distributor integration and inventory sync.

Examples: WMS integration • Distributor feeds • Inventory sync

New Energy & Advanced Manufacturing

Fast-changing line data. Line and test data integration for fast-changing process definitions.

Examples: Line data integration • Test data • Flexible schemas

Why Choose Zenkins for API Development & Integration?

Integrations break when systems change. We build them to absorb change.

Contract-first

The API specification is written and agreed before the code.

Why it matters: Consumers know what to expect.

Security is not an add-on

OWASP-based design, scanning and testing are standard.

Why it matters: Exposed APIs are a common attack path.

Integration depth

Retries, circuit breakers, dead-letter queues and schema validation, not just the happy path.

Why it matters: Failures are handled, not hidden.

Documentation that works

Examples, error references and changelogs that let partners self-serve.

Why it matters: Fewer support calls.

Observable

Tracing, analytics and alerting from day one.

Why it matters: Problems are found before users report them.

Connected to AI and data

The same team builds data pipelines and AI applications that use these APIs.

Why it matters: One accountable partner.

Ready to Build or Integrate Your APIs?

Whether you are designing a new API from scratch, integrating your product with third-party platforms, connecting internal systems that do not speak to each other, or modernising a legacy integration that was built years ago and now regularly breaks in production — Zenkins has the API engineering expertise to deliver it correctly.

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API development and integration: frequently asked questions

Find answers to common questions about API development & integration services, including types of APIs, integration methods, security, cost, and timelines.

It is designing, building, testing and deploying the interfaces that let systems communicate, along with the server-side logic behind them.

It is connecting existing systems, such as ERP, MES, PLM, CRM or third-party platforms, through their APIs, including authentication, data mapping, error handling and ongoing maintenance.

Yes. We integrate SAP and other ERPs with MES, PLM, quality, warehouse and supplier systems using the interfaces each platform supports and a middleware or gateway layer where needed.

Through industrial protocols such as OPC UA or Modbus and gateway software that exposes the data as APIs or messages, without changing the machine.

REST is the default for most business integration. GraphQL suits front ends with varied data needs. gRPC suits high-throughput internal services. We choose per use case.

A gateway sits in front of APIs to handle authentication, rate limiting, routing, caching and analytics. Use one if several consumers or external partners use your APIs.

We use explicit versions, announce deprecations well in advance, run versions side by side during transitions and monitor consumer adoption.

OWASP API Security Top 10 design, TLS, OAuth 2.0 with scoped tokens, rate limiting, input validation, secrets management, gateway policies and pre-launch testing.

Yes. We build permission-aware APIs so copilots and agents can read data and trigger approved actions with audit logs. See AI-Powered Software Development.

It depends on endpoints, logic complexity, integrations, security and documentation scope. We scope after discovery.

Yes: upstream version upgrades, security patches, monitoring response and documentation updates.

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