DevOps

Experiment with operational scenarios β€” rate limiting under load, infrastructure crash recovery, and capacity planning.

9 guides 4 visualizations 5 simulators
Visualizations 4 visualizations
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DevOps LIVE Intermediate

Canary Deployment Lifecycle Visualization

Walk through the Canary Deployment lifecycle with guided steps for blue-green, canary, traffic split, observation window, rollback.

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DevOps LIVE Intermediate

CI/CD Pipeline Lifecycle Visualization

Walk through the CI/CD Pipeline lifecycle with guided steps for build cache, test matrix, security gate, artifact, canary rollback.

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DevOps LIVE Beginner

Health Checks and Kubernetes Probes Visualization

Step through Kubernetes startup, readiness, and liveness probes; Service endpoint routing; container restarts; CrashLoopBackOff; dependency drains; and recovery.

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DevOps LIVE Intermediate

Rate Limiting Algorithms

Explore token bucket, sliding window, and leaky bucket algorithms. Watch how rate limiters protect APIs by tracking and throttling request rates in real time.

Simulators 5 simulators
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DevOps LIVE Intermediate

Auto-Scaling (HPA) Simulator

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

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DevOps LIVE Advanced

Auto-Scaling Component Runtime Simulator

Test Kubernetes HPA autoscaling as explicit runtime components with parent-owned input ports, child injection, routed connector messages, component state, element state, controls

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DevOps LIVE Beginner

Feature Flag Rollout Simulator

Simulate feature flag rollout strategies. Watch how percentage-based rollouts, user targeting, and kill switches control which users see new features.

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DevOps LIVE Advanced

Kubernetes Autoscaling Under Load

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)

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DevOps LIVE Intermediate

Rate Limiting Simulator

Experiment with token bucket rate limiting by changing request rate, bucket capacity, refill rate, and scenarios such as normal traffic, bursts, overload, and recovery.