TypeScript & JavaScript
Customer portals, operational dashboards, and connected web products.
Explore TypeScript & JavaScriptLanguages & frameworks
Go & Rust
Infrastructure utilities, integration services, and performance-sensitive components when concurrency, resource use, or memory safety warrants specialized engineering.
Concurrent services · Systems components
Discuss your projectFind the bottleneck before choosing a runtime
Define the workload
Throughput × latency × resource use
Use representative requests, payload sizes, and concurrency.
- CPU-bound
- Profile computation and allocation.
- I/O-bound
- Inspect waiting, connection limits, and backpressure.
- Memory-bound
- Measure retained data and buffer growth.
Go and Rust are options for focused services and systems components. The implementation should follow evidence about the constraint, together with the team’s ability to maintain and operate the result.
Compare the engineering obligations
| Question | Go consideration | Rust consideration |
|---|---|---|
| Team workflow | Service development and operational simplicity | Ownership model and systems-level control |
| Integration | API and process boundaries | API, process, or native-library boundaries |
| Proof required | Concurrency and failure tests | Boundary safety and failure tests |
Your project, scoped around the outcome
Build with Go & Rust
A measured component prototype, integration interface, and operational diagnostics.
Talk through the scopeRelated technologies
Python
Data transformation, document processing, automation, and business APIs.
Explore PythonC# & .NET
Business services and internal applications connected to Microsoft environments.
Explore C# & .NETJava & Kotlin
Enterprise services and native Android applications.
Explore Java & Kotlin