Interactive Engineering Playground
Engineering Labs & Architecture Simulators
Hands-on technical artifacts and simulators replicating real production challenges: GPU serving bottlenecks, multi-stage RAG indexing, Kubernetes incident response, and FinOps calculators.
Live Simulator
Interactive WebGL / CanvasMulti-Stage RAG & Model Serving Cluster Topology
Initializing...
Interactive Demos & Incident Simulators
Click into any workbench to run simulations and inspect logs in real time.
Kubernetes & SRELaunch Demo
Kubernetes Incident Response Simulator
Automated detection, triage, and recovery in under 42 seconds
Challenge:The production payment pod hit an out-of-memory crash in a 12-node EKS cluster. Liveness probes failed, Horizontal Pod Autoscaler could not scale because the node pool was at capacity, and over two hundred non-critical alerts created notification fatigue. The on-call engineer had to manually SSH into nodes, identify the failing pod, restart it, and verify recovery. That manual cycle averaged forty-five minutes per incident.
Outcome:Mean time to recovery dropped from forty-five minutes of manual triage to forty-two seconds of automated remediation. Ninety-four percent of incidents resolve without human intervention. Alert noise dropped by eighty-five percent after severity-based classification.
KubernetesPrometheusGrafanaOPAKarpenterPagerDuty
FinOps & Cost GovernanceLaunch Demo
AWS FinOps Cost Optimizer
Line-by-line cloud cost audit that cut $40,920/year
Challenge:The client AWS bill was $6,400 per month for a mid-sized SaaS platform. Contributing factors included over-provisioned EC2 instances in ap-southeast-1 instead of us-east-1, three NAT Gateways routing S3 and DynamoDB traffic across public endpoints at $0.045/GB, absence of a CDN forcing all API responses through the ALB, an idle db.r5.xlarge RDS instance running overnight, and orphaned storage (three unattached 500GB EBS volumes and two unused Elastic IPs).
Outcome:Monthly spend dropped from $6,400 to $2,990 (a fifty-three percent reduction), saving $40,920 annually. Aurora Serverless alone saved $180 per month by scaling down to 0.5 ACU during off-peak hours.
AWSCloudWatchCost ExplorerS3CloudFrontAuroraEC2VPC
Model Serving & PerformanceLaunch Demo
18GB ML Model Cold Start Optimizer
Reduced serverless cold start from 2+ minutes to 8 seconds
Challenge:An 18GB model container on Google Cloud Run required over two minutes to cold start because it downloaded model weights from Google Cloud Storage on every scale-from-zero event. Peak memory hit 28GB against a 32GB container limit, causing 504 Gateway Timeouts for initial requests after idle intervals.
Outcome:Cold start latency dropped from two minutes to eight seconds (a fifteen-fold improvement). Gateway timeout errors were eliminated during business hours with a negligible $12 monthly cost for scheduler keepalives.
GCP Cloud RungcsfusePythonDockerCloud Scheduler
Developer Tooling & SRELaunch Demo
Infrastructure CLI Emulator
Web-based terminal simulating kubectl, docker, and terraform commands
Challenge:Onboarding engineers on production clusters created operational risks and configuration drift. Provisioning isolated cloud sandboxes cost $800 monthly per engineer and required ongoing maintenance.
Outcome:Onboarding time decreased from two weeks to three days, eliminating sandbox infrastructure costs while keeping production access restricted until training completion.
ReactTypeScriptNext.jsCSS Modules
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