This article discusses the importance of API scalability for handling traffic spikes, improving user experience, and optimizing resource utilization. It covers key concepts, scaling strategies with code examples, and best practices for scaling the API layer.
Encore is an open-source backend framework and cloud platform for building distributed systems. It automates infrastructure, offers end-to-end type-safety, and provides built-in observability.
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
- Automated Infrastructure:
Local & Cloud (AWS/GCP) provisioning
Infrastructure semantics within application code
No separate config tools needed
- Type-Safe Microservices:
Define & call APIs like normal functions
Full type-safety & IDE auto-complete
Automatic protocol communication boilerplate
- Faster Development:
Hot reload & automatic local infrastructure setup
Simplified, speedier development process
Observability:
API explorer, distributed tracing, architecture diagrams
Service catalog with automatic API documentation
- Cloud Platform:
Seamless workflow with CI/CD, testing, & infrastructure provisioning
Preview environments for every PR
- Security & Scalability:
Battle-tested AWS/GCP services
Best practices for security & scalability
Metrics & logging for critical aspects
