Canary Deployment Lifecycle Visualization
Walk through the Canary Deployment lifecycle with guided steps for blue-green, canary, traffic split, observation window, rollback.
Experiment with operational scenarios β rate limiting under load, infrastructure crash recovery, and capacity planning.
Walk through the Canary Deployment lifecycle with guided steps for blue-green, canary, traffic split, observation window, rollback.
Walk through the CI/CD Pipeline lifecycle with guided steps for build cache, test matrix, security gate, artifact, canary rollback.
Step through Kubernetes startup, readiness, and liveness probes; Service endpoint routing; container restarts; CrashLoopBackOff; dependency drains; and recovery.
Explore token bucket, sliding window, and leaky bucket algorithms. Watch how rate limiters protect APIs by tracking and throttling request rates in real time.
Simulate Kubernetes Horizontal Pod Autoscaler scaling pod replicas based on CPU utilization. Watch pods spin up and down as traffic changes, experiment with scaling thresholds
Test Kubernetes HPA autoscaling as explicit runtime components with parent-owned input ports, child injection, routed connector messages, component state, element state, controls
Simulate feature flag rollout strategies. Watch how percentage-based rollouts, user targeting, and kill switches control which users see new features.
Simulate Horizontal Pod Autoscaler (HPA) and Cluster Autoscaler (CA) behavior under traffic spikes. Experiment with metrics collection lag, pod cold start delays (image pull and app boot)
Experiment with token bucket rate limiting by changing request rate, bucket capacity, refill rate, and scenarios such as normal traffic, bursts, overload, and recovery.