Learn FISSION with Real Code Examples
Updated Nov 25, 2025
Performance Notes
Automatic scaling handles concurrent requests
Pool manager reduces cold-start latency
Kubernetes-native scheduling ensures efficient resource usage
Supports high-throughput event-driven workloads
Memory and CPU footprint depends on function and environment
Security Notes
Leverage Kubernetes RBAC for function access
Use HTTPS for HTTP triggers
Secrets managed via Kubernetes Secrets
Validate inputs in function code
Regularly update Fission and runtime environments
Monitoring Analytics
Monitor function execution logs via Kubernetes
Track trigger invocations
Integrate Prometheus and Grafana
Analyze cold-start latency
Profile function resource usage
Code Quality
Follow language-specific best practices
Keep functions small and stateless
Write unit tests for functions
Use logging for observability
Monitor and optimize function execution time