API & backend services
APIs that run in production. Integrations that survive vendor churn.
REST and gRPC APIs, third-party service integrations, data pipelines, and backend services for Tampa Bay startups, SMBs, and platform teams. Built on Postgres and Go, deployed on Kubernetes, observed end-to-end.
An API is a contract. A bad contract — undocumented, inconsistent, mutable — leaks into every system that touches it and rots downstream products for years. A good contract is a leverage point: clear interfaces, versioned thoughtfully, observable end-to-end, and resilient to the third-party services you depend on going sideways at 2am.
BlueScripts builds the second kind. We design and ship APIs and backend services that are typed, tested, instrumented, and documented. We build third-party integrations that gracefully handle rate limits, retries, partial failures, and webhook chaos. We have shipped four production SaaS products on this kind of backend, and we run them ourselves.
If you are building a platform, integrating with payment, identity, or data vendors, or replacing a legacy backend that has become a pile of shell scripts and crons — we are the team for the work.
What you get
In every engagement
Documented contracts
OpenAPI for REST, .proto files for gRPC. Generated client libraries in your languages. Documentation that stays in sync with the code, not the wiki.
Type-safe end-to-end
sqlc-generated Go from your Postgres schema. Type-safe RPC between services. No "what shape is this JSON" questions in production.
Real error handling
Retries with exponential backoff. Circuit breakers on flaky third parties. Idempotency keys on writes. Dead letter queues for the unrecoverable.
Observability included
OpenTelemetry traces, Prometheus metrics, structured logs. You can answer "what happened to this request" in 30 seconds, not 30 minutes.
Webhook handling that does not lose events
Receive, persist, ack, then process async. We have built webhook ingestion for Stripe, Github, Slack, Twilio, and others. The hard part is guaranteeing once-delivery — we have a pattern.
Migration paths
When we replace a legacy backend, we do it incrementally. Strangler fig pattern, feature flags, dual-writes during cutover. No big bang rewrites.
How we work
Process
Discovery
API contract review (or design from scratch), data model, integration surface area, and a written technical plan with explicit tradeoffs.
Design
OpenAPI/.proto specs, sequence diagrams for the integration flows, error semantics documented per-endpoint.
Build
Endpoint by endpoint, with integration tests against real or recorded fixtures of the third parties. Every endpoint deployed to staging the day it is written.
Ship
Production rollout with feature flags, dashboards in Grafana, and SLO definitions. Dual-running with the legacy system if we are replacing one.
Run
On-call retainer if you want it. Post-launch performance tuning, schema evolution support, vendor migration when third parties change their APIs.
Stack
What we reach for
Languages
- Go
- TypeScript / Node
- Python (when forced)
Storage
- PostgreSQL
- Redis
- S3 / R2
- ClickHouse for analytics
API styles
- REST + OpenAPI
- gRPC + protobuf
- GraphQL when justified
- Webhooks (sender + receiver)
Infrastructure
- Kubernetes
- Cloudflare Workers
- Terraform
- GitHub Actions
Observability
- OpenTelemetry
- Prometheus + Grafana
- Loki
- Sentry
Pricing
API and integration projects vary widely in scope. A single third-party integration with webhooks and retries is typically a 2–4 week engagement. A full backend service replacement is usually 12–24 weeks. Email us with a paragraph about the integration or service and we will scope it within one business day.
Common questions
FAQ
Do you build REST or gRPC APIs? +
Both, picked by the work. REST for public APIs and partner integrations where browser clients matter. gRPC for internal service-to-service where type safety and streaming are valuable. We will tell you which fits and why.
Can you integrate with [Stripe / Salesforce / HubSpot / etc.]? +
Almost certainly. We have built integrations with most major SaaS APIs. The hard part is rarely the happy path — it is webhook reliability, rate limit handling, and graceful degradation. That is the part we focus on.
What if a third-party vendor changes their API? +
We design the integration with a clear adapter boundary so vendor changes are contained to one module. Versioning is explicit. Migration is a known-cost change, not a panic.
Do you handle rate limiting on inbound APIs? +
Yes. Token bucket, sliding window, IP-based, key-based — whichever fits. We default to including rate limiting at the edge (Cloudflare or nginx) plus application-level controls.
How do you handle async work and queues? +
Postgres-backed queues for most workloads, Redis Streams for high-throughput, dedicated queues (NATS, RabbitMQ) when justified. We avoid managed queue services that lock you to a cloud provider unless they are the right tool.
Can you replace a legacy backend incrementally? +
Yes. Strangler fig pattern: route portions of traffic to the new system, dual-write for safety, feature-flag the switchover, retire the old system endpoint by endpoint. We have done this multiple times — never a big-bang rewrite.
Other services
Have a api development project in mind?
Email us a paragraph about what you're trying to build. We'll respond within one business day.
[email protected]