01
Node.js and Golang backends
APIs, workers, and services in Node.js and Go. Authentication, permissions, and data models stay explicit so another team can own them after launch.
SYSTEM / 01
Full-Stack Development
Node.js and Go backends, designed and deployed to scale on AWS.
We build the product and the platform under it. Backends are Node.js or Golang, chosen for the workload, with a frontend that talks to a clear API.
The system design is production-grade. Redis holds cache and hot state, Elasticsearch serves search, and a queue keeps slow work off the request path. We deploy the whole system on AWS through CI/CD, and scale the services that actually take load.
ARCHITECTURE
- 01Node.js
- 02Golang
- 03Redis
- 04Elasticsearch
- 05Queues
- 06AWS
- 07CI/CD
SURFACES
Professional-grade full-stack systems: Node.js and Golang services, Redis, Elasticsearch, and queues, with end-to-end AWS deployment, CI/CD, and scaling.
02
Redis, Elasticsearch, and queues
Redis for caching and fast reads, Elasticsearch for search and filtering, and a queue — SQS or RabbitMQ — so indexing, email, and other slow jobs do not block the API.
03
End-to-end AWS and CI/CD
Environments, containers, and a pipeline that builds, tests, and ships on every merge. Staging and production stay separate, from the first deploy through later releases.
04
Scaling
Stateless services behind a load balancer, autoscaling as traffic moves, workers scaled apart from the API, and cache plus search so spikes do not land on the database first.
Spec
- System design for the API, Redis, Elasticsearch, and the queue
- Node.js and Golang services, plus the product interface on top
- AWS environments with CI/CD from commit to production
- Autoscaling, worker scaling, and handover for the team that runs it
Pipeline
01
Design
Map traffic and data, then decide what belongs in Redis, Elasticsearch, and the queue.
02
Build
Implement the Node.js or Go services and the product in vertical slices.
03
Ship
Stand up AWS and CI/CD so staging and production deploy the same way.
04
Scale
Size autoscaling, cache, and workers for the load the system is expected to take.
After launch
- A Node.js or Go backend your team can extend
- Search, cache, and background work designed in from the start
- Releases that go out through CI/CD on AWS
- Services that scale with load without a rewrite of the product