Backends that other systems can actually depend on.
Bad APIs are invisible until they're not — and by then you have twelve systems depending on behaviour that was never meant to be a contract. We design API layers the way infrastructure teams do: explicit versioning, documented contracts, rate-limiting, and failure modes that don't cascade. Whether you need a single REST API or an event-driven microservices mesh, we build it to be trusted.
APIs are the contracts between systems. When those contracts are implicit, undocumented, or poorly designed, every system downstream inherits the fragility. Origin Softwares designs API layers with explicit versioning, documented contracts, rate limiting, and failure modes that don't cascade. With 40+ integration projects delivered, we build backends that other teams can depend on without calling you every time something changes.
What are API and microservices?
An API (Application Programming Interface) is a defined contract that allows different software systems to communicate. Microservices are an architectural pattern where a large system is decomposed into smaller, independently deployable services that communicate via APIs. Origin Softwares, based in Hyderabad, India, has delivered 40+ API and integration projects. We design APIs contract-first with OpenAPI 3.0 documentation, explicit versioning, and failure modes designed upfront — not discovered in production. Whether you need a single REST API, a GraphQL layer, or a full event-driven microservices architecture, we build it to be depended on. Each API we ship includes rate limiting, structured error responses with consistent codes, and an integration test suite that runs on every deployment.
The problems this solves
- Multiple systems accessing the same data through ad-hoc database queries or file exports
- Undocumented API that integration partners can't self-serve against — every new integration requires your team's involvement
- Monolith where different teams can't deploy independently because everything is coupled
- API breaking changes discovered by customers in production rather than caught in testing
- Performance bottleneck in a specific service that can't be scaled independently
- No versioning strategy — every API change risks breaking downstream consumers
Business outcomes
- Integration partners can self-serve against documented APIs without your team's involvement
- Frontend and mobile teams can build in parallel against stable contracts
- Individual services can be scaled, deployed, and maintained independently
- Failure in one service doesn't cascade to bring down the entire system
- New systems can integrate via documented APIs rather than custom point-to-point connections
- Developer experience improved — clear contracts reduce debugging time across team boundaries
Who is this for?
Platform companies
Need public or partner APIs that external developers can integrate with reliably.
Teams with growing monoliths
Need to decompose a system that's become too large for one team to deploy safely.
Companies building mobile + web
Need a shared API backend that both platforms consume without duplication.
Businesses with integration requirements
Need to connect multiple internal or third-party systems through a reliable middleware layer.
SaaS products adding developer APIs
Need to expose product functionality via documented, versioned APIs for customer integrations.
When API & Microservices may not be the right fit
We'd rather tell you upfront than waste your time and budget.
- Your system is small enough that a well-structured monolith serves all current and foreseeable needs
- You have fewer than two consuming clients — a single frontend talking to a single backend doesn't need the overhead of formal API contracts
- The team doesn't have the operational maturity to manage multiple independently deployed services
- Performance requirements demand in-process communication rather than network calls between services
What's included
- REST & GraphQL APIs
- Event-driven architecture
- API gateway & rate-limiting
- OpenAPI 3.0 documentation
- Service-to-service auth
- Webhook infrastructure
How we deliver
Contract Design
Define the API contract before any implementation code is written.
- Consumer requirements gathering
- Endpoint and resource design
- OpenAPI specification authoring
- Error response standardisation
- Authentication flow design
- Versioning strategy definition
Architecture
Design the service boundaries, communication patterns, and infrastructure.
- Service decomposition mapping
- Communication pattern selection (sync/async)
- Database-per-service vs shared DB decision
- Event schema design (if event-driven)
- Infrastructure and deployment planning
- Observability strategy
Implementation
Build services against the agreed contracts with comprehensive testing.
- Service implementation with contract tests
- Database schema and migration setup
- Authentication and authorisation implementation
- Rate limiting and circuit breaker configuration
- Integration testing between services
- CI/CD pipeline setup
Testing
Verify behaviour, performance, and failure modes before production.
- Contract test execution
- Load testing at expected peak
- Chaos testing for failure modes
- Security scanning
- Consumer integration verification
- Performance profiling
Deployment
Release to production with monitoring and observability from day one.
- Infrastructure provisioning
- Service deployment with health checks
- Monitoring and alerting configuration
- Distributed tracing setup
- API gateway configuration
- Documentation publication
Support
Maintain API health, evolve contracts, and support consumers.
- Performance monitoring
- Consumer support for integration questions
- Versioning and deprecation management
- Documentation updates
- Capacity planning
- Security patching
When should a company invest in a proper API layer?
Invest in a proper API when: multiple systems need the same data but currently access it through ad-hoc database queries or file exports; you want mobile and web clients consuming the same backend; third-party partners need programmatic access to your system; or your monolith has grown to the point where different teams step on each other during deployments. Origin Softwares helps companies identify the right boundary between a well-structured monolith and microservices — we don't recommend decomposition for its own sake, only when the organisational and scaling problems genuinely warrant it. The decision analysis typically takes one to two weeks and produces a clear recommendation with a cost and complexity tradeoff for each architecture option.
Technologies we use
- Node.js
- Go
- Python
- REST
- GraphQL
- gRPC
- Kafka
- RabbitMQ
- Kong
- AWS API Gateway
- OpenAPI 3.0
- Redis
Architecture & scalability
- Service boundaries drawn along business domain lines, not technical layers
- Communication pattern matched to requirement: synchronous REST for queries, async events for workflows
- Database-per-service for true independence vs shared database for simpler operations — choose based on team structure
- API gateway for cross-cutting concerns: authentication, rate limiting, request routing, and observability
- Event schema registry to prevent breaking changes in event-driven systems
- Distributed tracing mandatory for any system with more than two communicating services
API Architecture Approaches
| Criterion | Well-Structured Monolith | Modular Monolith | Microservices | Event-Driven Architecture |
|---|---|---|---|---|
| Complexity | Low | Medium | High | High |
| Scalability | Vertical only | Vertical with module boundaries | Independent per-service | Excellent — decoupled by design |
| Team independence | Limited — shared deployment | Partial — clear ownership boundaries | Full — independent deployment | Full — publish/subscribe model |
| Debugging | Simple — one process | Moderate | Complex — distributed tracing needed | Complex — event flow tracing needed |
| Operational overhead | Low | Low to medium | High | High |
| Best for | Small teams, early-stage products | Growing teams not yet ready for distributed systems | Large teams, high-scale, independent deployment required | High-throughput, async workflows, multi-consumer scenarios |
Why choose Origin Softwares
Our approach
- Contract-first API design — we define the interface before writing implementation code
- 100% of APIs shipped with OpenAPI 3.0 documentation
- Zero undocumented breaking changes shipped across 40+ integration projects
- Failure modes (rate limits, circuit breakers, retry policies) designed at the architecture stage
- Developer experience as a design requirement — if integration partners can't self-serve, the docs have failed
Delivery standards
- OpenAPI 3.0 specification defined and agreed before implementation starts
- Contract tests that verify API behaviour matches the spec on every deployment
- Semantic versioning with deprecation notices and migration periods
- Structured error responses with consistent error codes and messages
- Developer changelog maintained for every API version
Quality assurance
- Contract tests verifying spec compliance on every deployment
- Integration tests running against all downstream consumers
- Load testing at expected peak with P99 latency targets
- Chaos testing for failure mode verification (circuit breakers, retries)
- Security scanning for authentication bypass and injection vulnerabilities
- Performance profiling to identify N+1 queries and slow endpoints
Security practices
- API authentication with short-lived tokens (OAuth 2.0, JWT)
- Rate limiting per consumer with configurable thresholds
- Input validation on every endpoint with schema-based request validation
- Service-to-service authentication for internal microservice communication
- Audit logging for all API access with consumer identification
Performance
- P99 latency target under 50ms for internal APIs
- Connection pooling and query optimisation for database-backed endpoints
- Caching strategy with proper invalidation for read-heavy APIs
- Async processing for operations that don't need synchronous response
- Horizontal scaling configured for independently scalable services
What you receive
- OpenAPI 3.0 specification with full schema definitions and examples
- Developer portal or documentation site (Swagger UI or Redocly)
- Integration testing suite
- Service decomposition map and architecture documentation
- Performance benchmarks and load test results
- Monitoring and alerting configuration
Support tiers
- Bug fix tier: API-breaking issues resolved within 4 hours, others within 24 hours
- Maintenance tier: monthly dependency updates, security patches, and performance monitoring
- Evolution tier: new endpoint development, versioning strategy, and integration support on retainer
Why Origin for API & Microservices
Contract-first, always
We design the API contract before writing implementation code. This gives frontend teams something to build against and prevents interface drift.
Failure modes designed upfront
Rate limits, circuit breakers, retry policies, and graceful degradation are part of the design phase — not discovered in production.
Documentation that developers actually use
OpenAPI specs, developer changelogs, example payloads, and error code references. If an integration partner can't self-serve, the docs have failed.
Industries we serve
Typical delivery timeline
| Phase | Duration | What happens |
|---|---|---|
| Contract Design | 1–2 weeks | OpenAPI specification, error standards, and versioning strategy |
| Architecture | 1 week | Service boundaries, communication patterns, and infrastructure plan |
| Implementation | 4–12 weeks | Service development with contract tests and CI/CD |
| Testing | 1–2 weeks | Load testing, security scanning, and integration verification |
| Deployment | 3–5 days | Production release, monitoring, and documentation |
| Stabilisation | 2 weeks | Performance tuning, consumer onboarding support, and documentation refinement |
Before you start — a checklist
Use this to prepare for your first conversation with us.
- Identify all consumers of the API — internal teams, mobile apps, third-party partners, or public developers
- Define whether the primary need is a simple API layer or a full microservices decomposition
- Determine performance requirements — expected request volume and acceptable latency
- List all existing systems the API must integrate with
- Decide on authentication model based on consumer types
- Establish whether real-time communication (WebSockets, events) is required alongside request-response
Maintenance & support
- API health monitoring with alerting on error rate spikes and latency degradation
- Monthly dependency updates and security patches for all services
- Versioning management — deprecation notices, migration support, and sunset timelines
- Documentation kept current with every API change
- Performance review and capacity planning as traffic grows
- Consumer support for integration questions and onboarding new partners
“Their API design review caught three issues that would have broken our partner integrations on launch day. The OpenAPI docs they delivered are the best we've ever received.”
Frequently asked questions
Planning & scope
- Should we start with microservices or a monolith?
- Almost always a monolith first. Microservices solve organisational and scaling problems you probably don't have yet. A well-structured monolith with clear internal boundaries is easier to build, test, and debug — and can be decomposed later when you actually hit the problems microservices solve. We'll tell you honestly when you're at that point. Premature decomposition adds operational complexity without delivering benefits.
- How do we manage API versioning without breaking existing consumers?
- URL path versioning for public APIs (/v1/, /v2/) because it's explicit and easy to proxy. Semantic versioning with deprecation notices and a migration period for internal APIs. We never break APIs without advance notice and a clear cutover path. Deprecation timelines are communicated through the developer changelog and response headers.
Technical
- REST or GraphQL — which should we use?
- REST for public APIs where simplicity, cacheability, and broad tooling support matter. GraphQL for internal APIs where the frontend needs flexibility in data fetching without multiple round trips. We've shipped both and recommend based on consumer needs, not preference. Many systems use both — REST for external consumers and GraphQL for internal frontends.
- How do you handle failures between microservices?
- Circuit breakers prevent cascading failures when a downstream service is unhealthy. Retry policies with exponential backoff handle transient failures. Timeouts prevent slow downstream services from blocking upstream callers. Dead letter queues capture failed async events for manual review. All of these are designed at the architecture stage and configured per-service based on criticality and acceptable failure modes.
Engagement & process
- Can you fix our existing undocumented API without breaking integrations?
- Yes. We start by reverse-engineering the existing contract from logs and integration tests, then write characterisation tests to lock down current behaviour before touching anything. Once the safety net is in place, we refactor, document, and add the missing pieces. No changes ship until the characterisation tests pass.
- Do you provide developer documentation for our API consumers?
- Every API we ship includes an OpenAPI 3.0 spec with full schema definitions, example requests, error codes, and authentication flows. For public or partner APIs, we set up a hosted developer portal with interactive documentation. We also maintain a developer changelog so integration partners know what changed between versions.
How does Origin Softwares approach API design?
We design the API contract before writing implementation code. This means frontend teams have something to build against from week one, integration partners can plan their work, and the interface doesn't drift as implementation details change. Every API Origin Softwares ships includes OpenAPI 3.0 documentation with full schema definitions, example requests, error codes, and authentication flows. We also design failure modes explicitly — rate limits, circuit breakers, retry policies, and graceful degradation are part of the design phase, not production discoveries. Contract tests that verify the running implementation matches the specification are executed on every CI pipeline run, catching drift before it reaches consumers.
Related services
Custom Software Development
APIs are part of a larger system — we build the full application stack, not just the integration layer.
Web Development
Web applications that consume the API layer — frontend and backend designed together.
Mobile App Development
Mobile apps consuming the same API as web — one backend serving all platforms.
AI & Cloud Solutions
Cloud infrastructure for API deployment with auto-scaling, monitoring, and global distribution.
IT Staffing
Senior backend engineers for API development, integration projects, or infrastructure work.
Not sure where to start?
If you have an existing API that's undocumented and fragile, or a monolith that's becoming difficult to maintain — we can audit it and give you a clear roadmap for improvement.
Get a free consultation